Perspectives on Health and Tech

• From Bench to Bedside: Bringing Therapeutic Innovation Closer to Patients

  While science and technology have driven remarkable breakthroughs, they’ve also created unintended barriers between clinical research and care. The complexity and cost of research limit trials to only the most well-resourced hospitals. As a result, just 3% of patients and providers participate, and doctors often lack access to or the ability to act on life-changing therapies at the point of care. Oracle is closing this gap—embedding clinical trials, evidence-based insights, and innovative therapies directly into electronic health records. The vision: every hospital research-ready, every patient encounter fueling discovery, and therapeutic innovation reaching patients where and when it matters most. Featuring: ·       Moderator: Raj Modi, Senior Director, Global Customer Centre of Excellence, Life Sciences, Oracle ·       Panelist: Maria Clark, Market Development Associate Greenphire-Suvoda, Patient Advocate for Cystic Fibrosis Foundation ·       Panelist: Christopher P. Boone, Ph. D., Group Vice President, Research Services, Health & Life Sciences, Oracle Listen as they discuss: o   Why therapeutic innovation often stops short of the point of care—and what it takes to close that gap o   How aggregating genomic, clinical, and real-world data at scale — safely and securely — is key to unlocking this future and driving personalized medicine o   How embedding trials, insights, and therapies into the EHR will reshape access to cutting-edge treatments, lowering cost, and improving outcomes o   How the industry is approaching this shift—and what progress is already underway Notable quotes: “Because of these CFTR modulators, patients like myself are living longer than ever before. I am only 23 years old and when I was born my life expectancy was early 20’s.” – Maria Clark “We have to reimagine our own business processes and really put the needs and preferences of the patients at the center of everything we do.” – Christopher P. Boone, Ph. D. CTA: Harness real-world evidence and data-driven insights to inform critical decisions. Our expertise spans commercialization, market access, regulatory and safety protocols, oncology, and rare diseases. Bolster your strategies with data-driven solutions tailored to the life sciences and healthcare industries: Learn More ----------------------------------------------------------------- Episode Transcript:

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• How CAMH is Advancing Mental Health Through Innovation and Social Justice

  Perspectives on Health and Tech  How CAMH is Advancing Mental Health Through Innovation and Social Justice Listen in for a timely conversation in recognition of Mental Health Awareness Month and National Nursing Week. In this episode, Dr. Gillian Strudwick from The Centre for Addiction and Mental Health (CAMH) and Danny Gladden from Oracle Health discuss how mental health care is evolving, and how CAMH is advancing care through the dual lenses of technology and social justice. Learn how AI tools like Oracle Health Clinical AI Agent are easing clinician workloads, how CAMH is using data to drive impact, and why framing mental health as a social justice issue is key to helping the CAMH team deliver more equitable and compassionate care. Featuring: Dr. Gillian Strudwick, Chief Clinical Informatics Officer, The Centre for Addition and Mental Health Danny Gladden, LCSW, MBA, Director, Behavioral Health and Social Care, Oracle Health Listen as they discuss: o   The Centre for Addiction and Mental Health (CAMH) background – 2:45 o   Mental health care viewed as social justice work at CAMH and examples – 5:00 o   Technology innovations at CAMH with a human-centered approach – 9:30 Wearable devices and the impact they have on research Repetitive Transcranial Magnetic Stimulation (RTMS) treatment Evidence-based apps and the integration of these into clinical care processes Optimizing EHR use and exploring the opportunity to share mental health notes in Canada o   CAMH’s perspective on AI technology and its potential impact on clinicians – 18:25 Notable quotes: “Mental health is social justice work.” – Dr. Gillian Strudwick “To be able to deliver compassionate care in this day and age, we have to be innovative in our use of technology.” – Dr. Gillian Strudwick CTA: Learn how Oracle behavioral health solutions combine real-time, clinical data from across each patient’s unique healthcare journey and how Oracle is working to reduce the documentation burden on physicians and elevate the patient experience with the Oracle Health Clinical AI Agent. ----------------------------------------------------------------- Episode Transcript: Intro  0:00  - 0:29 Welcome to perspectives on health and tech podcast brought to you by Oracle Health. In this series, we have conversations on creating a seamless and connected healthcare world where everyone thrives. Let's get started.   Danny 0:30 – 01:44 Welcome to perspectives, Oracle Health and Life Sciences podcast. I'm your host today. Danny Gladden, I'm a licensed clinical social worker and general manager of behavioral health and social care here at Oracle Health. As we step into the month of May, we recognize Mental Health Awareness Month, a time to raise awareness reduce stigma and highlight progress in mental health care. I'd also like to give a special shout out to our nurses across Canada and the US as we celebrate National Nursing week. Thank you for your unwavering dedication and compassion. Social workers and nurses make great teams. Today, we're honored to be joined by a leader in mental health care innovation. Please welcome Dr. Gillian Strudwick from CAMH, the Centre for Addiction and Mental Health, Canada's largest mental health and addiction teaching hospital and one of the world's leading research centers in its field. So, Gillian, welcome. Before we dive into big topics here, can you introduce yourself and tell us a little bit about the great work happening at CAMH.   Gillian 1:45 – 03:47 Thank you, Danny, and thank you for the opportunity to be a part of this great podcast. I might break this into two sections. First, I'll introduce myself, and then I'll tell you a little bit about the organization that I'm fortunate to work for. I'm Dr Gillian Strudwick. I'm a registered nurse, and I've worked primarily in mental health clinical settings here in Toronto, Canada, and also in other parts of Canada and internationally. Currently, I am the inaugural Chief Clinical Informatics Officer at CAMH, representing our nurses and all of our non-physician health disciplines, like social work. And I have a couple of other hats as well. So one is that I'm the head scientist of the digital mental health lab, and I'm also the scientific director of our Digital Innovation Hub, which is about really accelerating our work in this digital sphere and research practice, education and beyond. So that's about me, but I'll move on to talking about CAMH. So CAMH is C, A, M, H, the Centre for Addiction and Mental Health, and it's Canada's largest mental health and addictions teaching hospital. We think, and I think there's lots to suggest that we're true in saying this, that we're a world leading Research and Education Center on mental health, and we're located right in the heart of downtown Toronto, but we serve people across our province, Ontario and across the country as well. In terms of a few numbers that I'll share with you, we've had just over 16,000 emergency department visits in the last year, over 40,000 patients that were treated, over 80,000 virtual care appointments. And I'll provide a few more numbers here as well, almost 8000 RTMS visits, 60 million in a new research funds more than 1000 articles published. I think you get the point that there's a lot going on at CAMH, and it's a great place to be.   Danny 03:48 – 04:50 You know, I have been on your campus a number of times. I always appreciate that your campus is right in the heart of Toronto, in a bustling area, and I think there's, there's no greater way to reduce stigma than, you know, placing such a well-respected mental health and addiction treatment organization right in the heart of the city. Whereas if you go to many other communities, you'll kind of see the mental health hospitals and treatment providers kind of on the outskirts of town. Really appreciate CAMH’s role right there in the heart of Toronto. And I think this goes into something Gillian that you speak about passionately, which is the idea that mental health treatment is social justice. For our audience, tell us what you mean by that. Why is it an important lens - social justice, which you view your work?   Gillian 4:51 – 07:43 I think it's quite an important point that you bring up, Danny, and it's something we're really proud of talking about, that mental health work is social justice work. Part of doing social justice work is to be informed in this space. And part of being informed is understanding that mental illness disproportionately affects marginalized communities who are also often facing barriers to things like accessing care, and this could be due to racism, poverty, stigma, geography, and I could continue so on and so forth. At CAMH, we see mental health is deeply rooted in social justice, because access to care, dignity and treatment and prevention are not actively distributed. CAMH advocates for policies and systems change that ensure mental health care is not a privilege but a right. And so that's really our social justice lens, framing and shaping the last few statements that I made. We have done some work more recently in the last couple of years on dismantling anti-black racism, which has become a more formalized organizational commitment. I'll just read a section from one of our documents around dismantling anti-black racism. And excuse me for it sounds like I'm reading here because I'm reading from a document, but systemic anti-black racism, is a barrier to high quality health care for black patients at CAMH and across the health care system, the data lay bare with those in black communities have signaled for decades. Discrimination and oppression based on race delays care and harms individuals on their way to recovery. Racism also has a negative impact on the quality of work life for black staff, beyond the damaging emotional and psychological consequences, it limits their career trajectory, and it goes on from there. I bring this out as one of the many initiatives that the organization is committed to. And as a result of this commitment, this public commitment, you can read what I just read on our website, camh.ca, that there's a number of activities that the organization is doing everywhere, from doing offering more culturally appropriate therapies to education for staff, staff support groups, creations of processes that support equity, lots of advocacy work with the government. A lot of this work is ongoing, but this gives you sort of a more grounded, more concrete example of some of the ways in which we look at social justice as being so related to mental health.   Danny 7:44 – 09:31 My goodness, you know the social worker in me is just grinning from ear to ear, as you describe, you know, the foundation in which CAMH is caring for folks. You know, I'm still a licensed clinician in Missouri and Alaska. You know, particularly, I think about a state like Alaska, with a disproportional number of folks who are Alaska Native. And we see, you know, in those communities, so much generational trauma, and the impact you know, and the impact that oppression you know has on sort of repeating traumatic occurrences across the generations and so, so very important, I think, an important perspective to look at the the experience of mental health and the treatment of mental health through a social justice lens. Gillian, I just appreciate that, that that is a focus of CAMH, and I'm sure the indigenous populations your organization works with, you see a similar, you know, a similar experience than the those in the in Alaska here. Now, as we pivot here, thinking about, you know, you're, I think the work you're describing, from a social justice perspective, is innovative. It seems like CAMH is always at the cutting edge of innovation. We're a technology company, and so, you know, from a technology innovation perspective, what are you seeing? What's CAMH doing?   Gillian 9:32 – 15:53 Great question. Danny, and because of my various roles at the organization, I get excited about this kind of a question, and it also describes the work that I'm doing every day, with my colleagues, with our patients, their family members and others across the organization. So yes, we're always interested in how we can use technology and to innovate with technology, but we do that so we can achieve various things and the things that we want to achieve are being able to improve access to care so we can see more patients, because probably unlike, or not unlike various organizations in the rest of Canada and in the US, we have long waiting lists for care. The second is to be able to improve the quality of care. And not to say that care isn't good already, but more that as we learn and develop evidence and get feedback from our clinicians, from our patients, we can then integrate that into care. So that's the second piece. The third is to improve the patient experience, and the fourth is to really personalize care. When we think about how we innovate with technology, we're really looking to see if we can do those four things. And yes, there's other, you know, other reasons you invest in technologies for various efficiencies and cost savings. But I'm going to talk about more work on the earlier four points that I described. So maybe I'll provide a couple of concrete examples. The first one is thinking about the opportunity that we have by embedding wearables into care processes. These are things like Oura rings or Fitbit that you know, it doesn't matter which company it is. There's lots of wearables out there, but embedding them into care processes so we can look at sleep and activity which are often impacted when people have symptoms of depression or anxiety. We hope at CAMH to use this information to better understand someone's individual patterns, which could really help us tailor their treatments, as you can imagine, but also be able to identify early when a treatment may be starting to take some effect, or an early warning sign, or an indicator of someone potentially falling ill or relapsing. Lots of potential in that space, and we're getting going primarily in the research domain, in the wearable space. So that's sort of one concrete example. Another concrete example is RTMS. So CAMH has been a leader in this space and doing brain stimulation research for a number of years. RTMS, in case listeners aren't familiar with it. It's a non-invasive treatment. It uses magnetic fields to stimulate very specific regions of the brain, and it's been shown to be particularly effective for people with treatment resistant depression. These are individuals who have not responded well to medication or therapy alone. To date, we've had about 8000 individuals last year who have received RTMS. We're thinking about it from advancing the science, treating individuals, of course, and doing lots of advocacy work. The third example I'll provide is around the app space. There's lots if you were to type in depression or anxiety into any app library, you're going to see lots and lots of apps, most of which don't have a scientific backing to them, some of which may actually be a waste of time to engage in. It's also really hard to make sense of that app landscape. So, we've been working to develop and integrate into clinical care processes, apps that have that evidence base behind them, and have some sort of a portal or interface with clinicians so that the data can be used for care purposes. We've got one called my change plan for smoking cessation of behavioral modifications. We've got one called App for independence, which is a platform for supporting people with complex behavioral and mental health conditions, and it's currently used for recovery processes with individuals with psychosis and schizophrenia and now opioid use disorders. And then we also have another app called Hope by CAMH, which is a safety planning intervention for people at risk for suicide. So, there's, you know, that doesn't cover all the apps, but gives you a sort of a flavor of the various apps that we've been working on, so that there's the credibility the science and the engagement and feedback loop for those particular areas. And then the finally, the last one I want to talk about is our electronic health record. We use the Oracle Health platform, and we're really thinking about how we can optimize our use of it for the best experience for clinicians and patients alike, including this concept of open notes through our patient portal, so where patients can see their notes and so well, if you're in the US and thinking, well, this is the norm for us, it's not quite the norm for folks in other countries. It's optional in Canada to share mental health notes, and so we're showing some real leadership by identifying how best we can do that and opening up our notes. So I'll just close on this topic, Danny, by just saying that importantly, we're taking a human centered approach when we're doing this work, whether it be in apps, wearables, with our EHR that we're co-designing with patients and clinicians to ensure that they're usable and they meet the needs that are the most pressing needs, but also that we deliver and implement technology that allows us to provide compassionate care. Because I think when we think about technology, it's often this sort of antithetical approach to compassion. And we are showing that to be able to deliver compassionate care in this day and age, we have to be innovative in our use of technology.   Danny 15:54 – 18:07 Wow. What a, what just, what a robust list of innovation. You know, that CAMH, is sponsoring. I'm not, not at all surprised Gillian, knowing your history. You know, Gillian, maybe a part two to this conversation. A separate podcast can be sort of on the intersection of social justice and technology. You know we regularly describe some just phenomenal innovation, consumer facing innovation and yet, we know that there's consumers of care that don't always get to take advantage of the latest and greatest innovation. The wearables or access to a device to allow, you know, portal or telehealth. You know, lack of hardware, lack of bandwidth, lack of sort of knowledge or trust in the available tools. So, you know, maybe we can. We'll bookmark that, I think for another day, but in the area of innovation, CAMH was part of our clinical AI work group for behavioral health. This was a year-long process. You know, Oracle has been an AI space for many, many, many years. You know, I'm sitting in a Marriott right now where, you know, I used Oracle tools to check in and to engage with the Marriott staff. Oracle knows a thing or two about AI, and has taken what they know about AI and applied it to healthcare. And we, Oracle Health, and CAMH and others have taken that and morphed it for behavioral health. So, our clinical AI agent today is available in the US in behavioral health, used across a number of behavioral health providers. I think to date, we've had nearly 20,000 medication management notes that were documented using Oracle Health's Clinical AI Agent. So, what's CAMH thinking about from an AI perspective?   Gillian 18:08 – 22:38 Oh, we're thinking about lots from an AI perspective. And I will just note that while you're sitting at a Marriott, I'm sitting at the hospital right now, and on the overhead speaker is a code being called. Apologies if you can hear that. We are really quite excited about the potential for AI and what it could bring for things like research, education, of course, clinical care, and how we operate and potentially achieve some efficiencies. I think there's a whole bunch of areas where we see the potential for AI. We're fairly early in our journey, but we're setting up all the right infrastructure so that we can accelerate more quickly. The first is that we recently launched, just this month, a BMO chair in artificial intelligence and mental health. So that's a research chair role specifically for AI in mental health, and I believe it's the first and only in Canada at this time. So Dr. Tristan Glittard Is the inaugural chair. He's an AI computer scientist, researcher and engineer, highly collaborative with clinicians. I think we have high expectations for what this role will achieve. We're also hiring for an AI scientist. From a research perspective, I think we expect big things, and I'll have more to report back on Danny in the not too distant future around that one. In terms of education, we currently have a digital mental health and AI Certificate Program, which is free and currently available on our website. So folks here who are listening are welcome to go to camh.ca and who and can navigate to finding the digital mental health and AI certificate program, and that's really thinking about, mostly for clinicians who are working in this space where there's more AI tools available for them to develop their competencies and thinking about how to use them within their clinical practice. We're getting, sort of our baseline of folks ready so that we're able to really accelerate in this space. And then I'll just mention one thing lastly, and while we don't have anything concrete yet to share the potential of AI scribes and ambient scribes, and using this sort of technology to free up our documentation time for essentially all clinician types is of big interest. Not just the documentation, but also other tools like being able to do note summarization or querying the electronic health record or the patient record. So I think all of these sorts of things are of interest for us, and our clinicians would jump on at scale. These sorts of things can have a big impact. And I'll give you an example. Not too long ago, we did a fairly small change in our EHR, and it result, and that was about nurses reducing their documentation time. We took out some particular areas of a power form. It resulted in a couple of seconds per power form that nurses were not documenting anymore. But when we calculated the total time savings over the course of the year for nurses, it was the equivalent of a full-time nurse by just doing that small change. And so if we think about that's just a really small example that we saved a full 1.0 full time equivalent of nursing time. If we did that at scale by using ambient scribes, by doing things like note summarization and querying, we could really take that to the next level and save large amounts of time, which we hope, could really support clinicians in being even more engaged less burnout. You know, the list goes on. So of course, in doing any of this work in AI, we need to be mindful of risk and bias, ethics. So there's a lot to be mindful of there, ensuring we keep mental health care human and so we're really making sure we're getting this right. We're starting our journey to ensure that we have all these various safeguards in place. But I will say it's a really exciting place to be. There's some very cool tools coming out, and I can't wait to get my hands on them.   Danny 22:39 – 23:58 Yeah, Gillian, we are so excited. You know our psychiatrist, psychiatric nurse practitioners, nurses, social workers, case managers, therapists, all benefiting today from use of Oracle Health Clinical AI agent. So, thank you for sharing those insights. Now. Before we close, we want to remind our listeners that if you or someone you know is struggling, help is available. In the US you can call or text, 988, 24/7 365. 988, is the suicide and crisis lifeline in Canada also, 988, 24/7 365, and just interestingly enough, 988, in Canada is provided and managed by CAMH to ensure that no one has to face a crisis alone. Trained responders are there for support. Dr. Gillian Strudwick, thank you for sharing your insights and for the work you and CAMH are doing every day to make mental health care better, smarter and more just. And thank you to our listeners for tuning in. Take care of yourselves and each other.   Outro 23:48 – 24:20 That's all for this episode of perspectives on health and tech podcast, be sure to subscribe to catch all our future episodes. For more information from industry experts, visit oracle.com forward slash health and oracle.com forward slash life hyphen sciences, or follow Oracle Health and Oracle Life Sciences on social media. Thank you for listening and join us again for the next insightful episode of perspectives on health and tech.      

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• Succeeding in Value-Based Care and Population Health Businesses in the Age of Hyper-scalers and GenAI

  In recent years, there’s been a significant rise of AI technology and hyper-scalers entering the healthcare market. Listen in as two experts from Oracle Health discuss improving healthcare delivery through the integration of these technologies, particularly focusing on the role of AI and comprehensive data platforms on value-based care. Learn about improving care coordination and delivery, the shift to scalable platforms, and incorporating AI and cloud technology to continuously evolve with the needs of healthcare systems. Featuring: Bharat Sutariya, MD, Senior Vice President and Chief Health Officer, Oracle Health Scott Wiesner, Go-to-Market Strategy and Operations, Oracle Health Listen as they discuss: - Dr. Sutariya’s perspective on the current healthcare landscape (2:50) - AI in service of improving value-based care (4:15) o Growth of hyper-scalers in the healthcare industry and what is lacking with this technology specific to healthcare The need for a comprehensive data platform that aggregates across multiple sources with terminology mapped to data and ontology applied for meaningful data - Going forward with industry-based data platforms (7:25) o Applying AI and genAI o Applications with pre-formatted workflows running on a comprehensive platform - Facing challenges in value-based care and technology choices (14:16) o The option of platform as a service (PaaS) helping to meet the needs for value-based care contracts - The Oracle strategy with cloud and genAI-based advancements (15:54) o EHR agnostic capabilities Notable quotes: “We now have a unique opportunity, particularly leveraging the might of Oracle, to layer advanced AI, including generative AI, on top of our existing healthcare technology – taking us far beyond where we were before.” - Bharat Sutariya, MD, Senior Vice President and Chief Health Officer, Oracle Health “At the end of the day, with value-based care, it’s really about the insights you get from the data – how do we make better use of that data in service of improving healthcare outcomes?” - Scott Wiesner, Go-to-Market Strategy and Operations, Oracle Health CTA: Want to enhance a connected healthcare ecosystem and accelerate value-based care efforts while improving clinician decision-making and the patient experience? See how Oracle Health can help with our suite of population health management solutions here: https://www.oracle.com/health/population-health/  ---------------------------------------------------------------- Episode Transcript: Introduction  0:00  Music.   Introduction 0:13 – 0:28 Welcome to perspectives on health and tech podcast brought to you by Oracle Health. In this series, we have conversations on creating a seamless and connected healthcare world where everyone thrives. Let's get started.   Scott 0:29 – 0:58 You’re listening to perspectives on health and tech. I'm Scott Wiesner, Senior Director go to market strategy in Oracle Health. With me today is Doctor Bharat Sutariya, Senior Vice President and Chief Health Officer in Oracle Health. Dr. Sutariya has over 20 years-experience in care delivery transformation, value-based care, and healthcare technology. He's also board certified in emergency medicine and has practiced medicine for over 25 years. Welcome Bharat.   Bharat 0:59 – 1:00 Scott, it's great to be with you.   Scott 1:00 – 1:08 Great to have you. Very fortunate to have you here at Oracle as well. Let's get into it. Why don't you tell us a little bit about what's driving you these days?   Bharat 1:08 – 2:30 Scott, in many ways, it's the same thing that has driven me for the last 25 years, and that is to significantly improving the healthcare ecosystem of providers, payers, and the life sciences, and to achieve the best outcome and experience for the patient. I've spent the last couple of decades developing and deploying healthcare technology products and solution and I've been fortunate to partner with leading health systems that think forward and solve complex problems that others mimic in healthcare then. I'm excited that I have this potential to make a significant progress, because I believe that the technology is more aligned to the problem now, and our ability to solve the problem now is better than ever before. So that's what excites me. Last thing I would say is it's great to be back now at Oracle Health, because Oracle is a full stack company having the most modern and efficient database, cloud infrastructure application development and proven, you know, technology over decades, and it's really taking that advantage of that capability and applying to health care, it likely excites me the most.   Scott 2:31 – 2:52 Well, it's great when passion and experience come together. Let's sort of take the next step here. This This podcast is about perspectives, and particularly your perspective, and you've got a very extensive and a lot of experience as a practitioner, educator, implementer, and, of course, executive leader quite some time. Let's talk a little bit about, you know, what you're seeing in healthcare at this moment.   Bharat 2:53 – 3:36 Interesting question. You know, I feel like we are at a unique juncture in healthcare where multiple forces are coming together. The cost of healthcare is rising. The outcomes are not necessarily keeping up. All of us are paying more out of our pocket, and overall, you know, that's not a sustainable system. But what's exciting is that we now that technology, you know, particularly with novel technology coming that has such an amazing promise to solve complex healthcare that it, you know, it, it gives me so much passion to look forward at solving these problems that we haven't been able to solve in the last 27 years.   Scott 3:37 – 4:17 So, you know, technology is both a promise and a solution. And what we're hearing from customers today really true of any industry. How do I reduce that cost? But then take those cost savings and power innovation. That's kind of the two levers there that you that you want to pull to drive efficiency and better outcomes. And one of these things we can't talk about in this day and age, whether, you know, without spelling it out, of course, is artificial intelligence. And really, how do we look at artificial intelligence and generative AI in service of, you know, improving value-based care? Can you elaborate a little bit on those two areas?   Bharat 4:18 – 6:50 As you know, my healthcare is very broad, and the movement toward value-based care, of course, many models, ranging from shared savings to full risk arrangement, both in commercial and government space, continues to grow, so I think it's an important topic. Now. I've spent a decade on value-based care strategy, technology development and partnering with health systems to really enable success in value-based care model. And there, you know, I've learned quite a bit, right? You know, I see going forward, the hyper-scalers have already made a significant progress with the penetration into healthcare, but I'm not sure that that hyper-scaler presence in healthcare has particularly been uplifting for value-based care, because in order to achieve value-based care in a programmatically and sustainable way, you have to solve some core challenges. And in the hyper-scalers, they'll provide robust technology platform, they've not necessarily solved these challenges. And the challenges that I'm talking about is, first and foremost, you have to have a very comprehensive data platform that aggregates data across multiple data sources, and that data sources need to have a high degree of terminology mapped to it, and then ontology needs to be applied to make meaning out of it, because what happens in healthcare, in particularly value-based care, is that an average value based care provider is likely providing 50 to 60% of care in their own network, meaning they have the data, but the rest of it is provided outside of their network, into the community for which they don't have clinical data, and they can only get the insight by using the claims data. So, what's happening is that the forward looking, advanced value-based care organizations have a desire to aggregate this data from multiple EHRs, where patients get their care, multiple payers, where they have taken payer contracts. They want to get data across VBM, social determinants of health, and basically anywhere patient is touching healthcare institution. They want to understand that data, because it is that aggregated data that can give them the full insight so that they can then provide a comprehensive care.   Scott 6:51 – 7:27 Yeah, it's a great point. You know, whether you're a hyper-scaler or otherwise, you know, everybody can provide a data platform where you're aggregating data. You know, some version of that. What we're describing here actually is, how do we make that better use of that data in service of value-based care, and all the contracts and regulations and things that you pointed out once before is, you know, always changing. And you can't just solve that like, you know, everybody can do that, but it's really the next thing. So maybe you can elaborate on that a little bit more, and where we're going with industry-based data platforms.   Bharat 7:28 – 9:27 I see many in the industry are starting such a platform today. While we've had a decade head start, we've had Healthe Intent for more than a decade now that has been recognized as a highly scalable world class data aggregation platform that reconciles large swath of data, you know, maps it and creates a medical grade longitudinal record. And we've been able to use this platform to help our customers achieve initial success in value-based care model. On top of that platform, you apply intelligence, you create gaps in care insight, you also empower the risk adjustment capability as well as care coordination capability and all of that together then operate, you know, provides operational capability for the value-based care organizations. So that's kind of the current state of where we are, right. And while we have a highly organized platform and software approach, you know, I feel like many in the industry are still catching up, you know, to where we are. We now have a unique opportunity, particularly leveraging the mind of Oracle to layer, you know, advanced AI, including genAI, on top of it. So, imagine, you know where we were, which was already fairly advanced, and now we have the ability to layer more advanced capability on top of it, and that is the go forward future. And at least you know that Healthe Intent that people know today is now the Health Data Intelligence that has all this capability that I just talked about.   Scott 9:28 – 9:52 So let me just take a step back just for a minute. Here, seems we kind of talked about the table stakes of a data platform. And of course, in order to enable generative AI in particular, as you mentioned, seems to me you kind of got to get your house in order. And if I make a little bit of pun out of out of this, not your just your house, your data warehouse, in order, in order to enable artificial intelligence and generative AI, is that that's sort of the trend that we're seeing here.   Bharat 9:53 – 10:55 Yeah, we were able to get a head start into this generative AI and overall intelligence powering the value based-care platform, because we already have a strong foundation. If you don't have the right data foundation, particularly across the broad network of aggregated data, then the models you deploy on top is not going to work. So that's point number one. Two, you also need this platform that's evolving with the continuous technology as well as continuous intelligence. And that's, you know, where we’re going as well is to have an agile platform with the agile software capabilities on top of it, and continuous layering of AI, with the end result being able to power every component of value-based care management, from a clinical intelligence, from a care coordination, and from an analytic perspective.   Scott 10:56 – 11:36 So, on one hand, you talked about hyper-scalers, kind of on the one end, and marshaling the data for these insights. There's also the other proposition, where, hey, look, you know, there's, there's vendors out there that provide these insights, sort of out of the box, but they're not a they're not a hyper-scaler, they're not a data platform. So can you talk a little bit about that end, because at the end of the day, with value-based care for my what I'm gathering here is, it's really about the insights that you get out of the data. So, we could talk about kind of the dashboard approach. You talked about the data platform. Talk a little bit about kind of the SaaS version of the software as a service, kind of dashboard, end of things.   Bharat 11:36 – 14:15 I think, you know, strong platform that aggregates data is obviously, you know, needed in a strong set of applications that run on top, that have pre-formatted workflow, is also needed. But as we go forward here, we have to advance more than that, and that's where really the use of Gen AI capabilities come into place. That we no longer have to build an application or a analytic query or dashboard for every single things that we want to know from an insight to make a decision about value-based care. We're now able to use modern technology, particularly the Oracle analytic cloud, infused with the artificial intelligence, so that we're able to treat analytic almost like a conversational search. We're able to ask the analytic engine, for example, show me all of the patients that have hemoglobin A1C greater than nine, that have not seen physician in the last six months, and that don't have an appointment coming in the next six months, and the system is able to show you to list the patients with all the pertinent data so that a care coordinator or a physician's office can act and get them on the schedule. In the past or even in current systems, some would say, you would have to build a specific dashboard workflow to achieve that insight. But going forward, we're able to use the AI-driven analytics to achieve such insight. By the way, all of it needs to be based on world class security and data privacy. I don't think we can say enough of that. That is such an important concept in this day and age that, we restore health data and deal with health data, the security needs to be a first-class priority. Now, the other interesting part Scott is the VBC contracts are continuously changing. The network continues to change, the regulatory environments continue to change, and you also need a platform that's agile, that's constantly evolving at the platform level, application level, and the AI that's integrated into it needs to also be highly adaptive to serve the ever-changing business needs.   Scott 14:16 – 15:03 So of course, if you're speaking to your friends who are heads of population health, chief medical information officers. Sounds like they're kind of facing some of these challenges. Look, I've got some regulatory requirements, you know, I want to develop really precision of care for value-based care. Wanted to also take advantage of some of these new innovations in generative AI, all, it sounds great. What are these folks facing today? There's, there's a lot of choices in the industry as well. You know, as having been in the industry for over 25 years, lots of choices, so I'm kind of seeing this, as you said, the other side and made me think of, you know, the two sides of the same coin. Hey, look, we want to use our money wisely one side, and you've got to be able to have a fast, scalable, secure platform, and you also have the interface to be able to utilize that data most effectively. Describe a little bit of that for me.   Bharat 15:03 – 15:53 Scott, I think it's important the choice of technology to our value-based care needs to be highly strategic in nature. In the past, you know, there was difficulty in choosing big strategic platform. How long will it take for me to stand it up and mature it right? But now, with the platform as a service, the choices are a little bit easier, and how fast you can get value out of it is also easier. So, I think in today's day and age, you can achieve both, and that is, how do I get technology that can help me meet my needs for this year's contract, but more importantly, how does the investment evolve with my needs over many years, and that is the balanced choice that people can make today.   Scott 15:54 – 16:27 Yeah, and that makes a lot of sense, because, you know, people are moving careers and jobs, and we as a provider, a technology provider, need to show a value today and tomorrow and of course, beyond. Makes a lot of sense, and to be able to think strategically, obviously, also makes sense as well. Lot of technologies over the years to meet some of these requirements. And so look, we're both Oracle folks here, and you know, we'd be remiss if we didn't talk a little bit about to our listeners here about the Oracle strategy, covering both cloud and generative AI based advancements. Can we talk a little bit about that?   Bharat 16:27 – 18:43 Yes, Scott, let's, let's make sure we earn our pay. I'm super excited about the path that we're on. And quite frankly, I don't think that path was possible prior to acquisition of Cerner by Oracle. As I mentioned earlier, Cerner had previously developed Healthe Intent platform that's been in place for more than a decade, and having personally been involved, we leveraged the best possible technology components that were available at the time several years ago, and there was even an attempt to make sure that we keep the platform updated, but we now have an amazing new opportunity, and that is to leverage the total might of Oracle. You know, Oracle being a full stack company, it has the most modern database. It has the modern cloud infrastructure. It has the modern cloud analytics capability. It has the generative AI capability. So when we put all that asset together in one full stack, we're able to do things that we could not do in past. And that is what our teams have developed now into health data intelligence on top of this, health data intelligence as a platform, we layer a new set of application called Clinical intelligence, care coordination analytics, and then many purpose-specific assets such as HCC and many different risk models associated with it. We do all of this in a completely EHR agnostic manner, in fact, system agnostic manner, so not every customer has to have our own electronic health record to benefit from it. It doesn't matter to us, which EHR brand you use, what hyper-scaler cloud you may already be aligned to, from a data storage and computing perspective, we're able to coexist because this is a purpose-specific healthcare intelligence platform, and then when it's used for value-based care, we actually have a purpose specific value-based care applications in workflows that go on top of it.   Scott 18:43 – 20:09 Yeah, that’s interesting. So, and I wanted to kind of go back something that was, was interesting. And I think our, our listeners, customers, can identify with your journey, you know, as a almost a developer as well, you're saying, you know, filling the needs of the requirements of your customers where, you know, look, not all of our customers are, you know, some of the hyper-scalers out there, they've got, you know, they're not IT companies, you know, they're really interested in the outcomes, not developing and supporting a data platform, you know, a non-industry data platform. Even though, as you pointed out, the hyper-scalers have made some inroads into that. And t's about, again, outcomes. How do I make value-based care more efficient? Allow for better insights, kind of time to value of data and that precision healthcare that we talked about, again, about the outcomes at the end of the day. So, if we as Oracle, can provide that platform, that we manage, that then drives and allows you, the customer, to take advantage of all those insights. Really want to be here for you for that so when you're ready for that next step of generative AI, not having to manage the platform itself, but also getting the insights through the applications that you mentioned. It's already there for you, and can basically start with that the very next day. Any final thoughts, Bharat?   Bharat 20:10 – 20:34 It's my pleasure, and I'm actually quite excited to leverage all of the assets we now have from previous Cerner and now Oracle, and it's exciting to be part of this journey, and looking forward to working with our customers to get it in their hands and help them achieve their value-based care outcomes.   Scott 20:35 – 20:45 Fantastic. Thank you very much, and thank you for listening. Be sure to subscribe to the perspectives on health and tech podcast. Thank you very much.   Outro 20:45 – 21:20 That’s all for this episode of Perspectives on Health and Tech podcast. Be sure to subscribe to catch all our future episodes. For more information from industry experts, visit oracle.com forward slash health and oracle.com forward slash life hyphen sciences, or follow Oracle Health and Oracle Life Sciences on social media, thank you for listening and join us again for the next insightful episode of Perspectives on Health and Tech.    

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• The Value of AI Within Healthcare

  Discover the Value of AI in Healthcare Are you interested in using AI tools to drive operational efficiencies within your organization, but not sure where to start? Listen in as two industry experts from HIMSS and Oracle discuss how AI is helping to transform healthcare operations and how to consider implementing AI technology in a healthcare organization. Hear about how AI is being used in healthcare today, risk factors to consider before implementing AI tools, and how AI can be used to boost clinician satisfaction while helping to reduce operational waste. Featuring: Mary Ann Borer, Senior Copywriter, Strategic Marketing Services, HIMSS Matt Patterson, Executive Director of Oracle Health AI, Oracle Listen as they discuss: -        How AI is being used in healthcare IT today and the impact it is having on the industry (1:00) -        Key factors that are important to consider before implementing AI technology in healthcare systems (6:45) -        Clinical and healthcare business workflows that may be best suited today for AI applications (8:20) o   Automation vs augmentation -        Key risk factors to consider when adopting AI in clinical practices (12:20) -        Which aspects of AI may add the most value to help improve the efficiency of current processes (15:22) -        What’s to come for healthcare AI in the future (21:35) Notable quotes: “My number one area of opportunity in healthcare, that’s best suited right now, today, for artificial intelligence is addressing physician and clinician burnout.” – Matt Patterson (9:47) CTA: Learn how Oracle is working to reduce the documentation burden on physicians and elevate the patient experience with the Oracle Health Clinical AI Agent. --------------------------------------------------------- Episode Transcript: 00:00:00:00 - 00:00:38:08 You're listening to Perspectives on Health and Tech. A podcast by Oracle with conversations about connecting people, data, and technology to help improve health for everyone. In this episode, you'll hear a conversation recorded by HIMSSCast where the host and guest speaker delve into unlocking the value of AI within healthcare. Your host for this session is Mary Ann Borer and the guest speaker is Matt Patterson.   00:00:38:10 - 00:01:05:11 Mary Ann Hi, I’m Mary Ann Borer with HIMSS. Today I'm joined by Matt Patterson, executive Director of Oracle Health AI at Oracle, and we'll be talking about unlocking the value of AI within health care. Matt, thanks for joining us today. Matt Thanks for having me, Mariana. I'm excited to be here. Mary Ann Wonderful, Matt. Can you start off by telling us a little bit about how artificial intelligence is being used in healthcare IT today, and what impact does it have on the industry?   00:01:05:13 - 00:01:31:21 Matt Yeah, absolutely. And I'll start just kind of a brief introduction of my, my experience here leading into, what's been one of the most exciting chapters in my career. But I've spent about 15 years in health care, serving in a variety of different health care entities across the globe to extract value from technology investments. So have had the opportunity to really work with some large scale players across the globe.   00:01:31:23 - 00:01:56:14 Matt And that's enabled me to learn some from some of the most innovative, forward thinking leaders across the industry on a variety of use cases. So I really started, in the heat of the adoption of core EMR technology during the meaningful use era. And throughout that journey, you know, 15 years ago till today, standing up care management programs to support value based care, you know, revenue cycle optimization initiatives.   00:01:56:14 - 00:02:22:03 Matt Most recently, I led a venture around, a lab is strategy to advance diagnostic capabilities, which is another topic, but one that I believe, you know, diagnostics has so much room for, for growth in the future. But that's often back of mind for health care organizations today. But again, as I noted, this AI initiative is really the most fun that I've had in my career.   00:02:22:05 - 00:02:54:01 Matt Of really just the value that it's bringing to healthcare professionals. To start off, just, you know, backing up a little bit around AI and healthcare, it's obviously the buzz of the last, you know, 12 plus months. But AI has been in health care for nearly half a century, and I refer to it as classic AI. It's used to carry out a specific task that a human typically performs, recognizing patterns and data to predict and drive what might happen next, or summarize what's already happened.   00:02:54:03 - 00:03:28:13 Matt Or making suggestions. What's really happened in the last 12 plus months is within healthcare is leveraging generative AI. That's the newest development in healthcare that leverages massive amounts of data and computing power to look at things in a much broader context and generate something completely new. So GenAI generate documents that can summarize existing information. It can translate a document and extract information and classify text based on a specific request.   00:03:28:15 - 00:04:07:01 Matt ChatGPT is obviously if anybody has actually tested that, it's a really good example of ask a question and it will give you a very succinct, summarized answer that's structured better than a lot of what humans can do. And so that's really where we're seeing this substantial shift in the healthcare industry is this shift from classic AI, which is if this happens, then I can drive this result to generative AI that truly can create something completely new around automation of administrative tasks, looking at precision medicine, etc..   00:04:07:03 - 00:04:29:06 Matt And as you think about just the impact on what generative AI can really bring to healthcare AI, I go back to what Bill gates, an article he wrote in 2023 after he really he had a meeting with OpenAI and it started to click for him around what AI is really going to mean foundationally for a variety of industries.   00:04:29:06 - 00:04:55:15 Matt But, you know, in his article, he was kind of focusing on health care. And, and he said this “AI will become as fundamental as the creation of the personal computer. It's going to change the way people operate to face some of healthcare's most significant challenges and rising costs, lack of equitable access and aging populations, doctor, nurse burnouts and global pandemics.”   00:04:55:17 - 00:05:37:22 Matt We're already seeing a lot of those impacts at different levels, leveraging GenAI so, you know, rising he mentioned rising costs. Today we're, we're driving operational efficiencies across health care around more efficient scheduling, claims processing, supply chain management and eliminating waste of supplies through real time forecasting, timely interventions of care that can eliminate readmissions and higher acuity costs.   00:05:37:22 - 00:06:06:16 Matt So we're impacting the cost curve already through AI, lack of equitable access to care. Social determinants of health is a big thing that we're embedding into a EMR today to provide an Uber access so somebody doesn't miss their appointment. And doctor nurse burnout. So I'm going to get into more of that today because that's where I'm spending a lot of my time within Oracle is addressing administrative tasks through leveraging AI.   00:06:06:18 - 00:06:32:07 Matt In short, the integration of AI and healthcare. It truly is transforming the industry by improving accuracy and diagnostics and treatment, reducing costs, and ultimately leading to better patient outcomes. But we'll get into some of this today. It also raises important considerations regarding data privacy, like the ethical use of AI, how to put controls around it, and the need for regulatory oversight.   00:06:32:07 - 00:06:48:00 Matt So overall, it's playing a crucial role around the evolution of health care. It's making it smarter, more patient, more efficient and more patient centered. But important to put controls in policy as organizations look to bring AI into your organizations, 00:06:48:03- 00:06:55:12 Mary Ann What are some key factors that you consider important before implementing AI technology in health care systems? 00:06:55:14 - 00:07:28:12 Matt It's one that I receive often. Where do we start? So the possibilities when you really dig into the technology of cloud hyper-scalers, the capabilities are endless, which is exciting. Yet it's also overwhelming when you really kind of dig in to what the possibilities are. So where to start is hard. And so a lot of clients and folks that I'm working with week in, week out, I give them this simple advice : start small and start now.   00:07:28:14 - 00:07:59:09 Matt You can go address low risk use cases. Now to learn the technology, understand how to wrap your arms around it, and put controls and protocol around it before you get to those larger scale, higher risk use cases such as do I drive a diagnosis directly to a physician into their physician workflow, you're going to want to put a higher level of protocol controls and risk management around that type of larger AI.   00:07:59:11 - 00:08:15:00 Matt We'll call it recommendation. In comparison to something like, how do I go create a draft note for a physician to have to review? So in short, my recommendation is always start small, but get going now. 00:08:15:02 – 00:08:25:09 Mary Ann  Now that's an excellent point. And let me add to that a little bit and ask you which clinical and health care business operations do you feel are best suited for AI today?   00:08:25:11 - 00:08:52:24 Matt So as I mentioned on the front end, I've been fortunate, to have a variety of experiences across, the healthcare entities I've worked with throughout my career. And, I'll tell you, from my experience, it's all of the functions of the healthcare system that need automation and really need to have the opportunity to eliminate manual process and waste, supply chain.   00:08:53:00 - 00:09:21:00 Matt You know, I mentioned AI, more effective predictive analytics to eliminate waste, huge opportunity across our healthcare system, of, you know, things that aren't necessarily needed and are wasted on a daily basis, that if we had more effective ways to forecast what's needed and when we could eliminate cost, eliminate that waste within our supply chain management system. Revenue cycle, there is more manual process in rev cycle.   00:09:21:02 - 00:09:47:11 Matt And there are more tools coming out to augment that. Those manual processes, leveraging AI. So the automation of coding and prior authorizations claims processing, denials, management, a variety of aspects of how we can automate manual process today, predictive analytics to reduce readmissions, health equity programs that I mentioned on the front end. There truly are countless opportunities across the functions of healthcare.   00:09:47:13 - 00:10:20:00 Matt But my number one area of opportunity in healthcare that's best suited right now, today for artificial intelligence, is addressing physician and clinician burnout. So before I get too far into the why there, I just summarize the where to start through the evaluation of two different concepts. One is automation. The second is augmentation. So think of automation as the automation of a process.   00:10:20:02 - 00:10:56:18 Matt Creating a note automatically driving a code within for an ICD ten coding. It's addressing an administrative task versus augmentation. Is the AI actually providing a recommendation directly to the end user? I personally believe that as you think about those two concepts, the nature of what health care serves myself, my mom, my dad, my kids, it's so personal that we really do need to be careful with AI.   00:10:56:20 - 00:11:30:24 Matt And so starting with automation of process and the administrative burden, there is so much opportunity there. My recommendation is start with automate automation. As you as we continue to see the AI improve, which it will exponentially in the coming years, I think that's when we start to look at the augmentation of care. And there are a variety of organizations out there that are continuing to look at this augmentation concept, meaning I want to drive a recommendation of a diagnosis or a treatment plan directly into the clinician workflow.   00:11:31:01 - 00:12:02:20 Matt But again, my $0.02 starting small. Start with automation of administrative process. And as AI improves, think about da Vinci three to chat GPT four. There has been so much improvement around AI hallucinations, and those hallucinations are real in artificial intelligence. The iterations of AI will just continue to improve. And so as the AI improves, I think that's where there will be our opportunity to get to the next level of that true augmentation of healthcare.   00:12:02:22 - 00:12:05:01 Matt That will really take AI to the next level. 00:12:05:03 – 00:12:23:01 Mary Ann That's such a great point, especially when you think about how some of those kind of cumbersome administrative processes that are really a big factor for clinician burnout, what are some key risk factors, not that you would consider when it comes to adoption of AI in clinical practices? 00:12:23:03 – 00:12:35:06 Matt Regardless of the use case, small or big, there's an associated risk, and it's important that it's articulated to the end users.   00:12:35:06 - 00:13:12:10 Matt And as organizations think about policy, AI is meant to support human functions or decisions. It is not meant to replace it. So I've spent a lot of time and, you know, in recent months, traveling with providers across the nation to adopt ambient listening technology to automate their documentation within any of our. And when you sit down with the providers, I'm always very clear that the AI generated note is a draft.   00:13:12:12 - 00:13:42:13 Matt The actions that the AI will recommend are proposed. It's critical that on the front end of the adoption, you really talk to, in this case, the physicians, about what the AI is and what it is not. It is not a replacement of your responsibility as a licensed professional to sign that note or to sign off on that medication or that prescription.   00:13:42:15 - 00:14:17:14 Matt Right. So from my perspective, as we continue to get to the next level, the education of what artificial intelligence really is meant to be - an assistant, but not a replacement - is critical as we move forward. It's impressive what it is doing. Yet it's also important that clinicians, and end users of the I understand their responsibility. It still lies on them to sign off on as the human and the owner on really the impact of patient care at the end of the day, right?   00:14:17:14 - 00:14:52:10 Matt So it's about putting the right controls in place so that you can control the AI and wrap your arms around it. You know, AI will, as I've mentioned, fabricate. There was actually an example from my book that I read around, asking that in this case it was for Da Vinci Three about how they knew, how did they learn so much about Metformin and the at that time, Da Vinci three replied with, I received a master's in public health and personal experience with diabetes in my family.   00:14:52:10 - 00:15:14:16 Matt Well, they I did not actually receive a master's in public health. And so we kind of laugh about it when, you know, you're playing around at home with the power of what, you know, ChatGPT is or in this example, Da Vinci three at the time, but at that is an a hallucination of, you know, what the artificial intelligence is.   00:15:14:16 - 00:15:21:02 Matt And so it's just very careful that you treat, like you do anything else in life with caution. 00:15:21:04 – 00:15:30:06 Mary Ann Fantastic. So, Matt, what aspects of AI do you see adding value to help current processes to help transform health care? 00:15:30:09 – 00:15:43:04 Matt I'm going to go back to my earlier number one opportunity that I believe right now. Current state AI has the opportunity to go advance.   00:15:43:06 - 00:16:16:18 Matt And it's really providing an intelligent assistant to doctors and nurses to decrease administrative burden and to give some background that everybody knows about. But I've been on the front lines experiencing it in the practices, not at the corporate level or in the C-suite office, but in the provider practices that are doing, you know, every single day serving 25 plus patients in primary care, various specialties, etc. physician burnout is real.   00:16:16:20 - 00:16:36:14 Matt And, you know, the administrative workload that has been put on to physicians and nurses, it has increased dramatically over the last 20 years. And candidly, it's diminished the noble desire of having young students enter into various health care roles to just help people because there's too much day to day documentation and paperwork. I've got to create these notes and insurance claims and requesting prior offers for lab tests.   00:16:37:16 - 00:17:04:04 Matt It takes up 49% of a working day for doctors and nurses. So the net of this is that we need strategies to reduce administrative work on doctors and nurses to get back to what they do, provide patient care. And so, again, back to some of the things I've hinted at today automation versus augmentation, precision medicine, and some of these neat things that I am very excited about what it will be.   00:17:05:15 - 00:17:30:11 Matt But my focus today, right now at Oracle Health is how can we automate administrative tasks to enable physicians, nurses and clinicians alike to get back to patient care? That is where we're going to see outcomes improve there. If you ask any provider - and I had the opportunity down in Knoxville, I won't mention her name, but a physician looked me in the eyes.   00:17:30:13 - 00:17:56:09 Matt She's adopted our technology. She actually, has a four year old and a six year old, and she was telling me how on Sundays, she will spend anywhere from 4 to 5 hours doing documentation so that on Monday, she's not behind before she goes into the office. And she's got a full patient load. You know, tremendous, patient bedside manner.   00:17:56:11 - 00:18:22:07 Matt And so, you know, she's a busy physician, bottom line. But still, I'm allowing her to spend time on Sundays that that 4 to 5 hours has gone down to 30 minutes to 1 hour. So the technology that we're providing to her is enabling her to spend four more hours per weekend with her four year old and her six year old.   00:18:23:09 - 00:18:50:15 Matt And as a mom, that matters. And so what she told me, and she looks me in the eye as I was walking out of her practice, is. Thank you for contributing to the quality of care for my patients. And we have talked about, you know, her four year old and her six year old earlier in our meeting. But the bottom line is that there's direct correlation around physician satisfaction, linking back to patient satisfaction, engagement, and improved outcomes.   00:18:51:17 - 00:19:25:09 Matt So if the physician is looking me in the eye, as opposed to typing on their computer, I feel engages the patient, I'm going to be more likely to remember what was said during the visit. I'm going to be more likely to follow through with the instructions that the provider has given to me. So I see the most important aspect of who are leveraging AI today, right now, in the near future, is getting clinicians back to what they were, what they went to school to go do, provide patient care.   00:19:25:11 - 00:20:00:08 Matt It extracts across the entirety of a practice the health care system, the unit, you know, of a given floor. It's about addressing administrative burden. And that will bring attractiveness for young students to enter into health care again. Again, back to that noble desire strictly to help people. So in the near term, that's my focus to really bring back the joy of practicing medicine, I've had the pleasure to hear from countless providers on what this AI technology can really bring from Oracle and, getting them back to their practice and their patients.   00:20:00:10 - 00:20:09:05 Matt And so that's, that's really it. I think in the short term, where the core focus should be and the excitement that is, AI's bring it into health care. 00:20:10:08 – 00:20:16:20 Mary Ann Wonderful. Now, Matt, on that note, what excites you the most for what AI can bring to health care in the future? 00:20:16:21 - 00:21:01:23 Matt So this is the art of the possible, right? And it does. You know, again, as I mentioned, I've had the opportunity to learn quite a bit about the capabilities that exist within Oracle's cloud. And other hyper-scalers have similar capabilities. It really, truly is endless around and to my earlier comment, overwhelming on what it is that we could go do, but to just name, you know, a few examples of really where I think and I'll, I'll go back to that automation versus augmentation to really getting to that augmentation aspect of what we can do to assist health care holistically, leveraging AI.   00:21:02:00 - 00:21:26:10 Matt What I'm most excited about, and some of this is already starting to come out, with various entities. I think the impact is still, TBD around adoption, etc., but things like personalized medicine, how you can leverage AI to tailor treatments to individual patients by analyzing genetic information. Again, you know, there's a lot of interest there.   00:21:27:12 - 00:22:01:06 Matt I don't necessarily know that it's being adopted across healthcare systems throughout the globe yet, but it's a very exciting on what I can bring there. And we're just scratching the surface. Medical imaging. So AI can be utilized to analyze medical images, to detect anomalies and aid radiologists in a, in a diagnosis that is very exciting so that a radiologist doesn't miss something if they're doing a night shift. Hypothetically.       00:22:02:06 - 00:22:33:04 Matt Clinical decision support. So actually getting to the point that the AI can assist a health care provider for evidence based recommendations of patient care, how do you how does the AI potentially, you know, remind a provider or a nurse or a clinician of something they might have missed, right. Drug discovery. I think there's tremendous opportunity around what I can do to accelerate the drug discovery process.   00:22:34:06 - 00:22:57:00 Matt Going back to, you know, the Bill Gates quote that I opened up with, how do you get ahead of significant things like we just went through in the pandemic? Well, AI can assist us in that as we think about what it can bring to the future. And, the other one, you know, to wrap in a bow is patient engagement.   00:22:58:02 - 00:23:23:09 Matt I think that we all have our own ways of how it is that we want to engage with, you know, our own bodies, our own health care and AI powered chat bots. It can really know who you are, understand who you are, and how it is best to engage with you to get the best result of the engagement.   00:23:24:09 - 00:23:47:03 Matt For - Are you doing your walking for diabetes right? Are you filling your prescriptions or not? Have you gone in for your annual wellness check? Are you going and seeing getting your dental exam on an annual basis? Small things that ultimately lead to more healthy populations and preventative care. I think AI has tremendous opportunity just through, you know, the scale of how it can actually analyze data.   00:23:48:05 - 00:24:09:21 Matt It will take some of the pop health strategies and patient engagement strategies that exist today to the next level. So that's more getting to the augmentation aspect that I mentioned earlier, as opposed to just I think, you know, the core focus of automation, a process that we're that is the more of the here and now today. So, exciting times, a lot more to come.   00:24:10:23 - 00:24:20:03 Matt And, I truly do believe that we're just scratching the surface of what artificial intelligence will be able to bring to health care. As we look back ten years from today. 00:24:21:05 – 00:24:26:11 Mary Ann  I'm sure looking forward to seeing what comes next. Matt, thank you so much for joining us today, and thanks for sharing your insights with us. 00:24:27:14 - 00:24:40:21 That’s all for this episode. Be sure to subscribe to Perspectives on Health and Tech Podcast. For more insights from industry experts. Visit oracle.com/health or follow Oracle Health on social media.  

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  24:46
• Reimagine Care Delivery with GenAI

  Generative AI is a known disruptor in healthcare today. Will this transformational technology be embraced by clinicians, patients, and healthcare organizations? Listen in as two experts from Accenture Healthcare and Oracle discuss the difference between traditional AI and GenAI, the opportunities that GenAI is presenting to the industry, and the need to lean in to utilize technology as an enabler and a change agent. Hear how care delivery can be reimagined with GenAI and how this technology has the potential to be applied to help reduce clinician burnout, augment the clinician-patient relationship, bridge workforce shortage gaps, reduce margin pressure, and more. -------------------------------------------------------- Episode Transcript 00:00:00:17 - 00:00:22:10 Michelle You're listening to Perspectives on Health and Tech, a podcast by Oracle with conversations about connecting people, data and technology to improve health for everyone. Hi, I'm Michelle Flemings. I'm the industry executive director for Health Care for North America Cloud Infrastructure at Oracle. Glad that you're here. We're in the age of artificial intelligence. 00:00:22:12 - 00:00:41:29 Michelle The opportunities that we're presented with using A.I. as an industry are truly groundbreaking. And to be honest, I think we're just getting started. I want to focus today on a subset of traditional AI and want to talk a little bit about generative AI, some of the ramifications, some of the risks, benefits and what does it mean to health care. 00:00:42:01 - 00:00:47:29 Michelle I am delighted to sit across today from Tej Shah and I'll have him introduce himself. 00:00:48:01 - 00:01:08:00 Tej Thanks, Michelle Tej Shah I'm an emergency medicine doctor, a managing director, and Accenture's global health care practice. I've got a ton of experience working across different parts of health care as a consultant, obviously, but also as a venture capitalist, investing in companies and most recently starting a company in the health tech space. 00:01:08:00 - 00:01:16:07 Michelle We're talking about AI and we always have to start with what is the comparison between traditional versus generative AI? 00:01:16:09 - 00:01:17:21 Michelle How would you put that? 00:01:17:23 - 00:01:41:11 Tej We've been talking about AI for 50 plus years. This is not a new thing. We've been talking about how we can leverage data to get insights going from analytics to AI to  GenAI. Really the difference is, you know, before with AI we were able to extract data and insights from data so we could figure out what the next obvious data point was going to be. 00:01:41:13 - 00:02:19:03 Tej And in 2017 there was an article that was published by Googlers around attention is all that matters, right? And what happened with that papers is we came up with a completely new framework where we're now able through  GenAI to not just predict what's the next data point, but understand what's the next word that we can generate. And it's taking into consideration the context of the sentence to be able to make that prediction so that it's actually appropriate and it's opened up a whole bunch of opportunities that we're going to talk about today that is really transformative. 00:02:19:05 - 00:02:30:03 Michelle Let's get into some of those opportunities. I think it's fascinating that it's been as  long ago that A.I. came about and the general public really doesn't know. 00:02:30:03 - 00:02:35:14 Michelle let's talk about some of the opportunities in patient care that exists because of where we are now. 00:02:35:14 - 00:02:40:28 Michelle With A.I.. We do a lot around documentation. Where else should we be going? 00:02:41:00 - 00:03:08:03 Tej Back in 1996, you know, we started using search engines and it wasn't really until early 2000 when Google came around and the search bot search box became our librarian and around that time there was an article that was published by Will Carr in The Atlantic called Is Google Making Us Stupid and what he really meant. 00:03:08:03 - 00:03:33:29 Tej when you read the article was, are we thinking differently? Are we using our brains in the same way or reading as deeply as we did before? And obviously the answer is no. I think we continued to use our brains and we continue to, but we were using this tool as a librarian. We were using it to identify information quickly and be able to access it, you know, more readily. 00:03:34:01 - 00:04:04:19 Tej And what GenAI has done for us is start to be an advisor. It's enabling this transformation from technology, being a librarian to an advisor and that's what we're using AI for now. And GenAI today, right? So this idea of documentation and this is all relevant because the next sort of wave of what we're going to do with GenAI is it's going to start to act as an agent. 00:04:04:21 - 00:04:30:28 Tej It's going to start to enable us to take these tasks away from the from our day-to-day workflows and enable us to operate more efficiently. There is no reason, for instance, that a doctor like you or I should have to, you know, once we've submitted that a patient needs to do a specialist appointment, continue to follow up, make sure that that appointment was scheduled and have a bunch of people that are in that workflow follow up on it. 00:04:31:01 - 00:04:49:27 Tej It should just happen. And I think that generative AI is going to create these agents and these agents are going to be linked to one another. We're going to chain them together and it's going to do that follow up. It's going to make that experience more seamless, really enabling clinicians to do the work that gives us joy. 00:04:49:29 - 00:05:07:07 Michelle Let's drill down on that now, because you said something fascinating there being an agent. How I see it as being is now, I don't have that extra chaos and clutter to remember. As an ER doc, we're in the midst of the chaos we are in and we're trying our best to multitask. And there are fewer of us now. 00:05:07:10 - 00:05:25:16 Michelle There are others that are doing an exit now and then. We also don't have as much of a pipeline because, as you know, some of our residency programs didn't fill out. So three years from now, we're talking a massive deficit. And across the board in health care, there has been an exodus and a shift out of health care to other careers. 00:05:25:19 - 00:05:45:23 Michelle How do you see then us utilizing Gen AI to augment and maybe bridge some of those gaps with our shortages? The agent is great, but can we maybe think about a couple of other things that maybe might be even more magnificent? Like it's maybe front office, back office? Is there opportunity there, you think? Because we don't think about them a lot. 00:05:45:23 - 00:05:47:04 Michelle I do believe, absolutely. 00:05:47:04 - 00:06:10:27 Tej So let me just start. The clinician shortage is durable and it's secular. This is something that I say over and over again. You know, we have projected forward what we anticipate the workforce in health care is going to look like. We know there's going to be a shortage. But if you look at some of the research that's being published now, just at the end of last year, there was a study that published that looked at nurses and doctors that are in school today. 00:06:10:27 - 00:06:43:15 Tej And, you know, you might know that of those surveyed students, between 20 and 30% of them said they're going to drop out. They don't see the future of health care as a promising career that they want to pursue. That's going to be fulfilling in the way that maybe when we were going to school, we saw. And I think that's really disheartening because truly I think that, you know, when the way I thought about health care and the way the reason I pursued a degree is because I wanted to take care of people. 00:06:43:18 - 00:07:05:18 Tej And what's happened along the way is so many things get in the way of that, Right. That joy that we were talking about that I mentioned, that's gone because we've got so much administrative burden, so many distractions that sort of pull us away from that day to day care. It's actually started to deteriorate or continue to deteriorate. 00:07:05:18 - 00:07:28:18 Tej That relationship between the doctor and the patient that I think is so sacrosanct. It's so important. And I think patients want it. Physicians want it that nurses want it back. And so when I think of front office and back office, it's not just agents that are going to be doing this work. What it's going to do is it's going to take those tasks away, but it's also going to start to transform. 00:07:28:25 - 00:07:55:11 Tej What role, as a clinician, I play in the delivery of care, right, where maybe 30, 40% of my time I was it was taken up by doing that administrative work. Now I'm going to have it back to refocus on the patient. And it doesn't just drive productivity improvement, it drives greater engagement, it drives better experience for us as clinicians and for patients. 00:07:55:13 - 00:08:19:10 Michelle So back on Joy, I would love to be back there as well, cause I remember that feeling my first, but the patients and I could do anything and everything and this was going to be magnificent. And then you're right. Little by little, the administrative stuff started to become a burden. With GenAI,, how do you see us being able then, in this world of technology, having unfortunately had that adverse effect? 00:08:19:10 - 00:08:45:15 Michelle And I think it was an unexpected consequence of all of the information coming into the EHR and all of the information coming at us, period, whether it's on our phones, on our on our laptops and still faxes and message centers and inboxes. How do you see Gen AI as being able to be the thing that we can get providers to say, I trust this, I'm going to buy in, I will do this. 00:08:45:17 - 00:08:51:16 Michelle Because the last time we petted the dog, that was technology, it bit us and we have a long memory. 00:08:51:19 - 00:09:23:16 Tej Yeah, you know, the EMR is a beautiful thing, right? It actually transformed and improved the quality of care. It helped us, you know, document how we were taking care of our patients and enabled us to move patients seamlessly from one provider to another. But you're absolutely right. When you look at the data around the impact to productivity of the EMR, there's a 13% reduction in clinician productivity because of it. 00:09:23:18 - 00:09:51:05 Tej And I think, as you said, clinicians have been burned by it. I think we feel as though we were betrayed. We feel as though, you know, it didn't help us do our jobs better. It didn't help us improve the relationships that we have with our patients. And I think as we think about deploying new technology into care delivery, we're going to have to do a much better job of articulating the value proposition of what the technology is. 00:09:51:07 - 00:10:07:24 Tej And we're going to need to pull in clinicians to think about where it gets deployed, what part of the workflow should be addressed by technology and what should it take over. I think there's a lot of work for the industry to do. We're not good at it. We haven't been. 00:10:07:27 - 00:10:11:29 Michelle So how does Accenture then take away that hesitation? 00:10:12:02 - 00:10:35:28 Tej You know, so we're in the early innings of what GenAI is going to be able to do of where technology is going to be deployed. Truly, I think the organizations that are taking the leap forward and adopting and figuring out, you know, how technology is going to be integrated into care delivery, are taking some really basic steps. They need to have a policy on generative AI. 00:10:36:01 - 00:10:59:06 Tej They need to have governance, they need to figure out what is their data architecture and what's that foundation going to look like so that they can access that data to enable their clinicians to deliver care. They're going to need to think about on the back end how they train their clinicians and, you know, when they actually eventually do deploy technology, what is it going to look like? 00:10:59:07 - 00:11:03:26 Tej How is it going to transform the way that they work, the way that they deliver care. 00:11:03:29 - 00:11:25:28 Michelle Wow, transforming the way that we do work? When you say that, I think to myself, gee whiz, it would be marvelous. And in my mind, I would love to be able to be the ER doc seeing the cardiac chest pain patient and the intuitiveness of the system being that it understands who I am, what I do, what's going on with my patient. 00:11:26:00 - 00:11:42:25 Michelle It then brings in from the EHR what I need to know then, but then also helps me to go along with the best practice guidelines and recommendations while not forgetting that other stuff that you were speaking about before. With regard to referrals. Do you think that that's possible? 00:11:42:27 - 00:12:14:07 Tej So when I built my company, the fundamental premise that I was going for is technology should always be in the background. It should not be the reason that we get up in the morning and do anything right. It should be the enabler, it should be the assistant, it should be that third year medical student or third year resident that just enables you to do your job and perform at your peak all the time and think somewhere along the way, you know, we didn't sort of catch on to that. 00:12:14:09 - 00:12:29:12 Tej And I do think that with generative AI that we have the potential to drive that type of experience for clinicians who really are customers and clients of health systems. And we need to start thinking about them that way. 00:12:29:15 - 00:12:52:13 Michelle So I have two questions on that. We also spoke about the P word productivity. And as physicians, especially ER, we know that that can be something of a double-edged sword. So a lot of us want to frame it, couch it, present it more so as efficiency and effectiveness. How do we bring that message across with trust? 00:12:52:13 - 00:12:54:22 Michelle Because there is trust to be rebuilt. 00:12:54:24 - 00:13:20:08 Tej Yeah, you know, it's a great question. I agree that it's a double-edged sword. I think, you know, we productivity is what the organization cares about, but it's not necessarily what a clinician cares about. You know, their schedules are full, they're overloaded already. They're seeing more patients than they want to, and they're stretched way beyond, you know, the schedules that they're supposed to be working. 00:13:20:10 - 00:13:40:09 Tej And it's a lot a large part of why we're seeing the burnout that we're seeing amongst clinicians today. And so I think as we again, as part of how we think about technology and where it gets deployed and how it gets deployed, we have to bring the clinician along. And I think we have to think about what are the messages that are going to resonate. 00:13:40:09 - 00:14:04:12 Tej Just like when you do any sort of change program at any organization, they care about taking care of that patient and how do we articulate it to them that this technology is going to enable that, that this technology is going to power the experience that they want? Again, going back to this idea of the clinician as a customer or a client of a hospital system. 00:14:04:19 - 00:14:27:22 Tej Right. Because 75% of clinicians are employed now. Right. And if we think about them as customers that are, you know, they're producing the outputs that we want, which is units of care, we've got to figure out what resonates with them, what makes them tick, what's going to get them up in the morning and help them use the technologies that we're going to make available. 00:14:27:24 - 00:14:33:28 Michelle What's going to get them back at the table to actually have that conversation right, Because they need to be there. We need to be there. 00:14:33:28 - 00:14:36:07 Michelle So going back to burnout, burnout is not new. 00:14:36:07 - 00:14:52:20 Michelle And the question I have for you there is with regard to burnout and AI, do you think that there is meaningful use in there that we can honestly really tackle that meaningfully and impactfully? 00:14:52:23 - 00:15:00:25 Michelle Or do you believe it's going to take a long time, like decades worth of time to get there? Big questions. 00:15:00:25 - 00:15:24:22 Tej Yeah. And you know what, Michel? I'm not sure I have the perfect answer to it. I think what I'd say is we have to try. I think this technology has the promise to change how we practice, to create the space for us to do the thing that we had intended to do and take away all of that distraction. 00:15:24:25 - 00:15:58:27 Tej But I think we also need to think about ways that the technology can change the roles that we play as clinicians right. And you know, how it can augment us in different ways or automate some of the work that we're doing. And that's going to require real analysis of workflows. It's going to require real, you know, work and effort to rethink and rejigger the jobs for clinicians as a whole. 00:15:59:00 - 00:16:05:22 Michelle So there's a receptiveness there to an acceptance there that we are going to have to change. And we're not known for being change agents now, 00:16:05:22 - 00:16:31:23 Tej There's a lot of fear. I think there's,I want to keep doing things the way that I've done them, but I know that what I've been doing is not working and I think it's  going to be a very tricky sort of journey for health systems and for us as we work with them to help them navigate it, because every system is going to be different and you know, it's going to depend on the culture. 00:16:31:23 - 00:16:53:09 Tej But I think we need to get to and this will take a little bit of time is for clinicians to start having the culture of being accepting of change because you know it, I know it. I think everyone that's going to be listening to this knows that this is not the end. This is really the beginning of real transformation. 00:16:53:11 - 00:17:10:01 Tej And the change is going to come fast and furious. And what we need to do is prepare our clinicians and organizations to know and expect that and help them understand how to navigate that. And I think that's going to be a long and durable journey. 00:17:10:04 - 00:17:12:10 Michelle It will be. And you say fear. 00:17:12:10 - 00:17:30:08 Michelle how do we start working to allay some of those fears and trying to get to the point of balancing out even just being straight up facing Gen AI as a functionality that has so much opportunity and then proceeding to that lean in, how do we help people to do that? 00:17:30:10 - 00:17:34:02 Tej I think we're never going to take humanity out of health care. 00:17:34:02 - 00:17:43:12 Tej Health care is about, you know, the clinician and the patient in that relationship and navigating the health and staying and remaining healthy. 00:17:43:12 - 00:17:52:10 Te In the short term and in the medium term, we're in this transition phase from technology being librarian to an advisor. 00:17:52:14 - 00:18:20:17 Tej And it's going to be an advisor for a very long time. That transition to agent is going to happen, you know, very quickly on administrative work, but it won't become an agent on the clinical side because I think we still need to use our judgment. That's what we were trained for. We know what's right for that patient and getting that advice, getting that support being augmented by technology is not outside the realm of what should be possible today. 00:18:20:22 - 00:18:30:02 Tej It's available right now, but that role is going to need to change. Right. What we do every day will change and will shift. 00:18:30:04 - 00:18:55:15 Michelle I love, though, the vision of returning to being that empathetic partner who helps to guide the patient through this journey back to health or to maintaining wellness, that would be phenomenal as opposed to always having people fall into gaps and into holes. And with that, let's talk a little bit about what GenAI may or may not be able to do with regard to access and health equity. 00:18:55:17 - 00:18:57:07 Michelle Let's  talk a little bit about that. 00:18:57:07 - 00:19:25:08 Tej Yeah, You know, the shortage of clinicians that we're seeing around the world, it's not just the U.S., right. The projection is 10 million shortage over the next decade. And that disproportionately affects patients who don't have the means to access care. As an emergency medicine doctor, you appreciate the number of patients that come in as a site of last resort because they have no place else to go. 00:19:25:11 - 00:19:52:20 Tej It actually is not very convenient because the wait times are just getting longer and longer. And so what we're seeing is the disproportionate impact of the clinician shortage on populations that, you know, have not historically had. The means to access care. And so what I think and what I believe is with technology, as we scale capacity and we retrain clinicians on what their role is going to be, we're going to create access. 00:19:52:20 - 00:20:03:28 Tej We're going to start to address the health equity challenges and barriers and inequities, really that that we see as a society, not just in the U.S., but everywhere. 00:20:04:00 - 00:20:06:05 Michelle Beautiful, beautiful. 00:20:06:05 - 00:20:25:16 Michelle How do we introduce GenAI to patients and have them accept that sometimes they're not going to be able to talk to the nurse and ask the nurse when the pharmacy is open and understand why that's important and how this technology is also intended to serve them and to help them to do better. 00:20:25:16 - 00:20:43:19 Tej there's really two things that are really important related to AI and how we make it available to patients. One is around having, you know, a framework around responsible AI. And when we make the technology available to patients and for what use cases, because you're not going to it's not general availability for everyone. 00:20:43:21 - 00:21:01:28 Tej And then the second thing is, you know, we have to understand how we segment the patients that we serve, because your 91-year-old aunt may never want to interact with technology in the way that I do or that a 25 year old does. And I think we have to respect that and we have to appreciate it. 00:21:02:00 - 00:21:32:17 Michelle So we've hit now patient, we've hit provider, let's hit the hospital organization. They’re the decision makers ultimately as to what comes in, what gets implemented, what gets discarded or what what's put on by the backlog or the back burner or how do you see the conversation going with hospital decision makers about going forward with a roadmap that includes AI? 00:21:32:17 - 00:21:49:03 Michelle Because a lot of the discussions that I'm having are we want to see somebody else dip their toe in, we want to see somebody else dive in and survive. How do you see that conversation going or how would maybe you approach that conversation with someone who is a bit hesitant and wants to stand back a little bit longer? 00:21:49:03 - 00:22:09:01 Tej the truth is there is not a choice that health systems are going to have to make the investment in AI and GenAI, because we're all facing, you know, really critical workforce shortages. And we need to create capacity right now and we're going to need to do it in a durable, you know, long term way. 00:22:09:04 - 00:22:29:19 Tej The truth is there's a billion different applications of GenAI and, you know, we don't need to explore all of them all at once. Right now. What we need to do is very simple things around the investments in AI. You know, we have to have a responsible framework and governance and a policy for how we're going to deploy it. 00:22:29:21 - 00:22:57:07 Tej What's the oversight going to look like? We need to have that technology foundation and the data foundation to make sure that we're really leveraging all the data that we have. And truly we have to think about how we train clinicians and the rest of our workforce to adopt the technology so that when we get to scale, it's going to be used, it's going to create and have the type of impact and the ROI that we want. 00:22:57:09 - 00:23:17:26 Tej I guess the last thing that I would say is right now,  GenAI touches so many different parts of a health care organization. It's not just the chief medical officer, it's not the chief nursing officer, it's not the Chief  HR Officer It's not the Chief Operating Officer. It's not the CFO, it's not the CIO, it's not the CTO. 00:23:17:28 - 00:23:43:23 Tej And really figuring out in the context of, you know, an industry wide sort of, you know, crisis around margins, right? Where margins are in the low single digits, you know, and negative for more than half of the health care systems in the U.S.. How do you make this investment in the context of where a lot of other things are burning? 00:23:43:26 - 00:23:59:11 Tej How do you prioritize it and who do you go to and who makes the decision? Who who's going to be accountable? Who's going to drive the transformation? Who's going to drive the training? Who's going to drive the change? I think health systems are trying to figure all of that out and they need help. 00:23:59:14 - 00:24:28:23 Michelle They do. They do. They're going to need a partner who's going to be able to sit with them and understand where they are. More so, though, a lot of other discussions I'm having are people want to just kind of throw air out there as the panacea and the magic wand to fix everything. And there's a real struggle to contain it and say, let's pick one goal, something that is small yet impactful, that doesn't derail the ability to do care, doesn't disrupt your whole organization. 00:24:28:25 - 00:25:00:21 Michelle And those are some of the most impactful and beautiful conversations. And then when you get it right and they have a win under their belt, maybe tomorrow, I in the way of provider satisfaction, retention, patient engagement is better. Those sorts of discussions and those sorts of wins are huge. So I think that it is incumbent upon us and our positions and others out listening to this and similar positions to be that selfless advocate slash partner to your customer and help them along this path because it is complicated. 00:25:00:21 - 00:25:16:00 Michelle Let's talk a little bit then about health care, utilizing technology to catch up with other industries, because other industries are fairly far ahead of us when it comes to tech and efficiency and productivity, using technology. 00:25:16:00 - 00:25:41:12 Tej A lot of us like to say that if you want to know what's coming next in health care, look at what happened in other industries 20 years ago. What's incredible to me is that generative AI is being contemplated and probably more advanced in health care than it is in several other industries today. And it's almost moving at pace. 00:25:41:15 - 00:26:03:14 Tej And I'm not really sure exactly why that's happening. I think that, you know, maybe it's the shortage, maybe it's the margin pressure, maybe it's the potential, maybe it's, you know, some of these thought leaders that are really expounding on its use and its application, its potential in health care. Maybe it's just the burnout that's happening amongst clinicians. 00:26:03:14 - 00:26:17:14 Tej None of my clients on the provider side can afford to wait for the perfect sort of, you know, what are all the use cases and how do I sequence them and everything that I'm going to do for as you said, for the next five or ten years? 00:26:17:17 - 00:26:52:29 Tej I think we have to start now and there's a place to start right now. There are things to do to prepare yourself for that future and I think we're going to be astounded by the creativity of the clinicians that that you and I work with and that work for these organizations on how the technology can be deployed. And I think we have to just be open to it because I think we're going to see the potential and, you know, sitting behind a desk or sitting in a lab, you know, looking at the technology and thinking of use cases, that's going to get us only so far. We have to put it in the hands of 00:26:52:29 - 00:27:04:27 Tej clinicians having the appropriate sort of governance and guardrails. But that's how we're going to learn what it can do and how it can help and how it's going to impact, you know, how we deliver care. 00:27:04:29 - 00:27:09:21 Michelle That sounds like a great call to action. ‘Come to the table, your seats waiting’. Let's do this. 00:27:09:21 - 00:27:13:05 Tej Yeah, let's do it. I mean, ER doc, right? Like, let's go. 00:27:13:12 - 00:27:30:15 Michelle I love it. I love it. Well, thanks for your time today, Tej. Thanks to our listeners. Be sure to subscribe to the Perspectives on Health and Tech podcast for more insights from industry experts, visit Oracle Dotcom Slash Health or follow Oracle Health on social media.

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