Latest / Becker’s Healthcare Podcast / Sri Adusumalli on AI, Digital Health and Transforming Care Delivery

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Sri Adusumalli on AI, Digital Health and Transforming Care Delivery · Becker’s Healthcare Podcast

• 0:02
  - There's a version of AI in health care
• 0:04
  - that lives mostly in press releases,
• 0:06
  - pilot programs, partnership announcements,
• 0:09
  - theoretical
• 0:10
  - use cases.
• 0:11
  - And then there's the version that lives in
• 0:13
  - the work, the CIO trying to get a
• 0:15
  - model into production without breaking a dozen workflows,
• 0:19
  - the revenue cycle leader weighing automation against accuracy,
• 0:22
  - the CISO who knows that every new integration
• 0:25
  - is a new attack surface.
• 0:28
  - Becker's eleventh annual IT and revenue cycle conference
• 0:31
  - is built for the people doing that work.
• 0:33
  - More than 2,500
• 0:35
  - executive level attendees,
• 0:37
  - 600 plus speakers,
• 0:39
  - and four days of sessions designed around the
• 0:41
  - real operational questions behind
• 0:44
  - AI, cybersecurity,
• 0:45
  - revenue cycle performance, and digital health.
• 0:48
  - Join us September 14 through the seventeenth.
• 0:51
  - For the agenda and event details, visit beckershospitalreview.com
• 0:55
  - and click on the events tab in the
• 0:57
  - upper right.
• 0:59
  - This is Laura Dirdo with the Becker's Healthcare
• 1:01
  - podcast.
• 1:02
  - I'm thrilled today to be joined by doctor
• 1:04
  - Sari Adusamali,
• 1:05
  - vice president and chief health information officer at
• 1:07
  - Penn Medicine, as well as a practicing cardiologist.
• 1:10
  - Doctor Adusamali, it's a pleasure to have you
• 1:12
  - on the podcast today.
• 1:13
  - Laura, so great to join you. Thanks so
• 1:15
  - much for the for the time and the
• 1:16
  - opportunity.
• 1:18
  - Absolutely. Now I think this will be a
• 1:20
  - lot of fun. I know there's a lot
• 1:21
  - of things going on at Penn Medicine, and
• 1:23
  - certainly, it'll be great to hear,
• 1:25
  - about that and then how you're thinking about
• 1:27
  - the future. But before we dive in, can
• 1:28
  - you tell us a little bit more about
• 1:30
  - yourself and the organization?
• 1:32
  - Sure. Yeah. So,
• 1:34
  - as you mentioned, my name is Sridu Smiley.
• 1:36
  - I am the, vice president and chief health
• 1:38
  - information officer at Penn Medicine.
• 1:41
  - I'm a practicing cardiologist. I see patients in
• 1:44
  - the inpatient, outpatient,
• 1:45
  - procedural, and imaging settings,
• 1:47
  - And,
• 1:49
  - I work here at Penn Medicine, and we
• 1:51
  - are
• 1:52
  - a a health system academic medical center, consists
• 1:56
  - of seven hospitals
• 1:58
  - as well as hundreds of ambulatory
• 2:01
  - facilities
• 2:01
  - across,
• 2:02
  - New Jersey,
• 2:04
  - Pennsylvania, and soon to be Delaware as well.
• 2:06
  - And,
• 2:07
  - we have a couple of fun facts, about
• 2:10
  - us. The
• 2:11
  - first hospital in the country is a part
• 2:12
  - of Penn Medicine as well as the first,
• 2:14
  - first medical school.
• 2:16
  - So,
• 2:17
  - a a a long legacy of of innovation
• 2:19
  - going back, centuries.
• 2:22
  - Absolutely. That's great to hear. You know, really
• 2:24
  - exciting to have that type of,
• 2:26
  - history within the organization and then understanding that,
• 2:29
  - you know, what you want in order to
• 2:31
  - power forward is to be innovative health system,
• 2:33
  - be able to serve the community, and and
• 2:35
  - truly,
• 2:36
  - find the best way possible to fulfill those
• 2:38
  - missions. So,
• 2:40
  - I'm curious. First and foremost, can you tell
• 2:41
  - miss about the most powerful forces that you're
• 2:44
  - seeing shape digital health and IT in the
• 2:47
  - organization and how you anticipate they're gonna evolve
• 2:49
  - in the next year or so?
• 2:52
  - Yeah. Yeah. So I think that
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  - there
• 2:55
  - are many of these forces, and I think
• 2:57
  - that
• 2:58
  - that, in particular,
• 2:59
  - there are a,
• 3:02
  - there is an opportunity at the moment to
• 3:04
  - reimagine
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  - how we,
• 3:06
  - deliver care and how we practice medicine
• 3:09
  - that is that is driven by digital health
• 3:12
  - and technology, not only at our
• 3:14
  - organization, but but more broadly.
• 3:16
  - And I think this is,
• 3:18
  - of course, because the way that we consume
• 3:21
  - and use and action health information is changing,
• 3:24
  - largely driven by technology, in part by by
• 3:28
  - AI. I think that applies to our consumers,
• 3:31
  - and I use that word intentionally to our
• 3:33
  - consumers
• 3:34
  - and patients. It applies
• 3:36
  - to,
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  - how they are interacting
• 3:39
  - with our offerings,
• 3:41
  - how they're interacting with their own health information
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  - and learning about next steps in care and
• 3:45
  - accessing care. It applies to the the channels
• 3:48
  - of care that, whether they be synchronous or
• 3:51
  - asynchronous. A lot of those foundations were whether
• 3:53
  - they be brick and mortar or virtual, and
• 3:55
  - a lot of those foundations were set. Some
• 3:57
  - of those changes were also set in motion
• 3:58
  - during the during the COVID pandemic.
• 4:00
  - Flash of our clinicians,
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  - who are increasingly
• 4:04
  - having different ways to interact with information
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  - and have clinical decision support,
• 4:09
  - and ideally more more intuitive, more fluid approaches.
• 4:13
  - It applies to other aspects of our missions.
• 4:14
  - For example, our operations also have the opportunity
• 4:17
  - to be transformed by by technology and and
• 4:20
  - made, more efficient.
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  - And, certainly, on on this applies on our
• 4:24
  - education and research missions as well as we
• 4:27
  - start to think about how do we train
• 4:29
  - the next generation of clinicians, what are the
• 4:31
  - skills that are most important,
• 4:33
  - and when and,
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  - and and how do we
• 4:37
  - integrate that training with new and incoming technologies?
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  - And finally,
• 4:42
  - on, of course, on the on the research,
• 4:45
  - perspective,
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  - you know, what are there are plenty of
• 4:48
  - opportunities generated by AI that can help advance
• 4:51
  - our, research mission in in many ways.
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  - So I would say across the board,
• 4:56
  - our three primary missions of clinical care, research,
• 4:59
  - and education,
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  - are really being being reshaped with with available
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  - technologies.
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  - I think one of the
• 5:08
  - one of the the the the the themes
• 5:11
  - that is consistent across all of these is
• 5:13
  - change.
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  - And I think the pace of change is
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  - one force that has continued to accelerate,
• 5:20
  - and that's one thing that we've been thinking
• 5:22
  - about. How do we adapt to that pace
• 5:25
  - of change, keep pace, and also help lead
• 5:27
  - the change to be able to shape technologies
• 5:29
  - in ways that are beneficial to our,
• 5:31
  - to our patients, clinicians,
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  - to our community,
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  - and to the broader,
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  - communities, both internal to the organization and those
• 5:39
  - which we serve.
• 5:41
  - That makes a lot of sense. You know?
• 5:42
  - And it's really cool to hear about how,
• 5:45
  - you're looking at technology and thinking about adoption,
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  - how you're selecting the right things to bring
• 5:50
  - into the organization, and and then really,
• 5:53
  - looking to make that meaningful transformation. And to
• 5:55
  - your point, you know,
• 5:56
  - it takes a lot beyond just bringing the
• 5:59
  - technology in and installing it to actually get
• 6:02
  - that adoption and make sure that, your teams
• 6:04
  - are are ready to,
• 6:07
  - really optimize the technology in a meaningful way
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  - and in a lot of change management too.
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  - So
• 6:12
  - could you talk a little bit about that
• 6:13
  - process and what you found worked well or
• 6:15
  - the lessons learned as you've gone through and
• 6:18
  - then, you know, how the teams are dealing
• 6:20
  - with the rapid pace of change?
• 6:22
  - Yeah. I think that,
• 6:24
  - I think one of the the
• 6:27
  - the the realizations that we and others certainly
• 6:30
  - have as well is that given
• 6:32
  - that it's very
• 6:34
  - there there it's very easy to,
• 6:37
  - to build, and there are many new technology
• 6:40
  - even easier, I should say, to build. There
• 6:42
  - are many new technology products available. It's still,
• 6:44
  - by the way, just as hard to build,
• 6:46
  - something good, something very useful, something that folks
• 6:49
  - will adopt and and drive value.
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  - That
• 6:53
  - and both building and identifying those those products,
• 6:57
  - takes a degree of taste, essentially.
• 7:00
  - And so what we've,
• 7:02
  - aimed to do is to be able to
• 7:04
  - anchor in our operational,
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  - our clinical, our organizational
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  - priorities
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  - You and and use the anchoring in that
• 7:13
  - in those priorities, which is increasingly important
• 7:16
  - to be able to help, you know, curate
• 7:18
  - our taste and what are the right products
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  - that we will,
• 7:23
  - shape and and implement from others and and
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  - what we will we, for example, build ourselves.
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  - And that's been a very helpful framing, and
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  - I think it it it in in in
• 7:32
  - in other words, goes back to basics.
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  - What what are the most important priorities, you
• 7:38
  - know, for our organization? And then how can
• 7:40
  - we bring the art of the possible of
• 7:42
  - what technology can do these days to those
• 7:44
  - priorities,
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  - rather than,
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  - you know, I think I think we'd be
• 7:51
  - sort of floating out in the breeze if
• 7:52
  - we're reacting to every single new piece of
• 7:54
  - technology without having that anchoring in what's most
• 7:57
  - important operationally and clinically to our organization.
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  - And that's also the way that we articulate
• 8:03
  - that to,
• 8:05
  - to to our colleagues within within the organization.
• 8:08
  - I think, additionally,
• 8:10
  - the idea that that we can use this
• 8:13
  - moment that we have, this moment of change,
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  - this set of moments of change and of
• 8:17
  - transformation
• 8:18
  - to be able to to change and and
• 8:20
  - drive things that maybe we wanted to do
• 8:22
  - for many years. For example,
• 8:24
  - you know, one one example that I think
• 8:25
  - resonates with many organizations is the process of
• 8:28
  - documentation.
• 8:29
  - That is a a a a very painful
• 8:33
  - process for many, and I think one that
• 8:35
  - could be more effective that we finally have
• 8:38
  - the opportunity to be able to use available
• 8:40
  - and incoming technologies to totally transform.
• 8:43
  - And so what what the new technologies give
• 8:45
  - us the opportunity to do is is the
• 8:47
  - excitement around them sort of opens the door
• 8:49
  - to saying, hey. Let's not just implement this
• 8:51
  - technology, but let's relook at the entire process.
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  - What pieces of the, let's say, documentation process
• 8:57
  - do need to exist, don't need to exist,
• 9:00
  - And, and and taking the time to be
• 9:02
  - able to do that, to be able to
• 9:03
  - walk the process, to think about the people
• 9:05
  - in the process, which as we know is
• 9:07
  - sort of 80% of the work,
• 9:08
  - and do that first, and then sort of
• 9:11
  - shape what we do with technology based on
• 9:13
  - that is is increasingly, I think,
• 9:15
  - critical.
• 9:16
  - Absolutely. I love that. And, you know, I
• 9:18
  - really appreciate you digging a bit deeper there
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  - because organizational philosophy and having the right approach,
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  - can really make a big difference in terms
• 9:25
  - of the outcome and how,
• 9:27
  - you know, organizations really truly are able to
• 9:30
  - benefit from the technology.
• 9:32
  - Now could you tell us about a big
• 9:34
  - swing that you took in the last year
• 9:36
  - or so that paid off? What did you
• 9:37
  - do and what were the results?
• 9:39
  - Yeah. So, great question, Laura.
• 9:42
  - I'll tell you a bit about,
• 9:44
  - one of our internal,
• 9:45
  - initiatives, which is led by our Center for
• 9:48
  - Healthcare Transformation and Innovation and and also supported,
• 9:52
  - and and,
• 9:53
  - collaborated on by our data technology solutions organization
• 9:56
  - as well as many operational partners, which is
• 9:58
  - a internal product that we call, Chart Hero,
• 10:01
  - which essentially, if I were to boil it
• 10:03
  - down, is like a generative AI chatbot that
• 10:06
  - sort of is is grounded in foundation models,
• 10:09
  - but that is built into,
• 10:12
  - and and interacts with our EHR.
• 10:15
  - And so what that allows,
• 10:16
  - clinicians to and and the big swing that
• 10:18
  - we took was to start building this a
• 10:20
  - year and a half ago. I think this
• 10:22
  - this type of new interface is becoming increasingly
• 10:25
  - common, meaning this sort of chat based, more
• 10:27
  - fluid way to interact with and summarize and
• 10:30
  - synthesize information is, of course, very common now,
• 10:33
  - in our personal and professional lives. But a
• 10:36
  - year and a half ago, we sort of
• 10:37
  - took a big swing to say, hey, we're
• 10:38
  - going to we think that this could be
• 10:40
  - very helpful
• 10:42
  - in
• 10:43
  - inter in a creating a new way of
• 10:43
  - interacting with the information in the electronic health
• 10:46
  - record. And so we think that it's worth
• 10:48
  - taking the swing to build it ourselves because
• 10:49
  - it didn't exist, really, at that time, in
• 10:52
  - a in any sort of way that we
• 10:54
  - could purchase or or or partner. And we
• 10:57
  - thought it was valuable enough to that we
• 10:59
  - wanted to be able to learn from the
• 11:00
  - process of building it that this would be
• 11:02
  - one that we do ourselves. So, this is
• 11:05
  - now a product that's in the hands of
• 11:07
  - of hundreds of of clinicians across the organization,
• 11:10
  - and I would say it's one of the
• 11:12
  - technology products,
• 11:14
  - that that we built internally that has had
• 11:17
  - that essentially adopts itself because it's so useful.
• 11:19
  - And I think that's a lesson,
• 11:21
  - in in technology, and and oftentimes,
• 11:24
  - you know,
• 11:25
  - I think
• 11:26
  - folks think that clinicians and others might be
• 11:28
  - reticent to adopt new technology.
• 11:31
  - I I don't think that's necessarily the case.
• 11:33
  - I think, I think, you know, if you
• 11:35
  - have good usable technology that solves a problem,
• 11:39
  - folks, people will adopt it because we're we're,
• 11:41
  - you know, thirsty for that. And so in
• 11:43
  - this case, you know, being able to interact
• 11:46
  - with reams of information,
• 11:48
  - novels full of information, right, in the in
• 11:50
  - the electronic health record and synthesize that in
• 11:53
  - context for the question that you have in
• 11:55
  - the moment,
• 11:57
  - and and is is absolutely critical. So for
• 11:59
  - example, I'm a cardiologist, as I mentioned,
• 12:03
  - and, before I see a patient, I can
• 12:05
  - ask a question. I can put a prompt
• 12:07
  - into this tool, be able to say, hey.
• 12:09
  - You know, why, is this patient coming to
• 12:11
  - me today and synthesize all the relevant cardiac
• 12:14
  - testing, x, y, and z cardiac catheterization, echocardiogram.
• 12:17
  - And based on on that prompt and bit
• 12:20
  - of context
• 12:21
  - and also the rest of the context in
• 12:23
  - the EHR, this tool will deliver that that
• 12:25
  - summary, to me, that is specific to that
• 12:29
  - circumstance.
• 12:30
  - And there are many, many examples of this.
• 12:31
  - Like, you could do this in pre procedural
• 12:33
  - preparation,
• 12:35
  - pre imaging preparation,
• 12:37
  - But but that has been, you know, really
• 12:39
  - transformational, I would say, to our interactions with
• 12:42
  - information in in the, in the electronic health
• 12:44
  - record, and I think that's exemplified by the
• 12:46
  - use,
• 12:48
  - by folks, NPS and other feedback with relation
• 12:51
  - to the, to the application,
• 12:54
  - and, and we continue to expand its availability,
• 12:57
  - while at the same time thinking about how
• 12:59
  - do we responsibly do so because this is
• 13:01
  - a new type of interface we have to
• 13:02
  - learn. We have to learn how do folks
• 13:04
  - use it, what types of prompts are used,
• 13:06
  - how do we monitor it. And we worked
• 13:08
  - on building internal monitoring mechanisms,
• 13:11
  - you know, for for this as well.
• 13:14
  - So I think that that's a that's a
• 13:15
  - big swing that that we took that is
• 13:17
  - in the process
• 13:18
  - of of paying off and we continue to
• 13:20
  - explore what are what are new capabilities for
• 13:24
  - it. Fantastic. I you know, that is such
• 13:26
  - an impressive, technology to hear about and and
• 13:28
  - project. It seems like it's very
• 13:30
  - useful and could have a lot of benefits
• 13:32
  - for patients and the fact that you were
• 13:34
  - able to build that internally and and have
• 13:36
  - the,
• 13:37
  - skill sets and
• 13:38
  - and
• 13:39
  - design and ability to do that is really
• 13:41
  - cool to hear in such a inspiring story
• 13:44
  - as you're thinking about, you know, what, is
• 13:45
  - gonna actually make a difference for patients and
• 13:48
  - clinicians in the future.
• 13:49
  - Yeah. I mean, I think I think it's
• 13:51
  - both a a building and experience journey and
• 13:53
  - a learning journey as well.
• 13:55
  - You know? And I think that the the
• 13:57
  - this on a on a day to day
• 13:59
  - clinical basis that's taking tasks that would have
• 14:01
  - taken a a clinician,
• 14:03
  - you know, many clicks,
• 14:04
  - potentially in the EHR, plus ten, twenty, thirty
• 14:07
  - minutes, you know, potentially per patient depending on
• 14:09
  - how long a record is and condensing that
• 14:12
  - to essentially a click of a button.
• 14:14
  - And I think in many ways, that then
• 14:15
  - helps to advance other operational priorities. For example,
• 14:18
  - if it takes a click of a button
• 14:20
  - to prep prepare for a new patient, it
• 14:22
  - becomes even easier to be able to provide
• 14:25
  - access for new patients. So that's how we're
• 14:27
  - trying to connect, you know, technologies that will
• 14:29
  - both support, you know, priorities such as clinician
• 14:32
  - well-being,
• 14:33
  - as well as organizational priorities,
• 14:36
  - topmost of which is, access.
• 14:39
  - Got it. That's so helpful to hear. And,
• 14:41
  - you know, I I love that advice because
• 14:43
  - I think so many systems and organizations are
• 14:46
  - trying to figure out what is that,
• 14:48
  - right space to be in when you think
• 14:50
  - about, you know, building things internally and and
• 14:52
  - how to,
• 14:53
  - leverage the skill sets of their teams and
• 14:56
  - and keep the most important aspects of their
• 14:58
  - mission in place when they're trying to figure
• 15:00
  - out, you know, what's the technology and the
• 15:02
  - problem that they're solving.
• 15:04
  - And and to that point, from your perspective,
• 15:06
  - what is the most important problem that you're
• 15:08
  - trying to solve right now with AI and
• 15:10
  - technology?
• 15:12
  - Obviously, it was a great use case, and
• 15:13
  - then what's next?
• 15:15
  - Yeah. Yeah. I mean, I I would say
• 15:18
  - similar to many organizations,
• 15:19
  - you know, we are trying to,
• 15:22
  - solve the issue of
• 15:25
  - access to the care that we are, that
• 15:27
  - we have to offer access to our, clinical
• 15:30
  - expertise
• 15:31
  - for patients in our,
• 15:33
  - communities to need it. And so and I
• 15:36
  - think that has various dimensions as I was
• 15:38
  - just alluding to. It has dimensions in how
• 15:41
  - do we make it easy for a patients
• 15:43
  - on the patient and consumer side to understand
• 15:45
  - their health information. So we're working to implement
• 15:48
  - patient facing generative AI capabilities
• 15:50
  - to interact with health information, ask questions about
• 15:53
  - it, understand,
• 15:54
  - and then be matched to the right offering
• 15:56
  - at the right time, which, as I mentioned,
• 15:58
  - could be the right channel,
• 16:00
  - you know, brick and mortar virtual, asynchronous, synchronous,
• 16:03
  - the right clinician as well,
• 16:05
  - the right type of clinician, which can sometimes
• 16:07
  - be challenging in a complex, you know, in
• 16:09
  - any organization,
• 16:10
  - in any health care delivery organization to navigate.
• 16:13
  - And so, you know, that that's on the
• 16:16
  - on the patient end.
• 16:18
  - And, you know, by the way, there are
• 16:19
  - other jobs to be done in that too,
• 16:21
  - including being able to gather enough information ahead
• 16:24
  - of a visit, being able to prioritize,
• 16:27
  - referrals and understand, you know, within a large
• 16:29
  - group
• 16:30
  - of referrals and patients
• 16:32
  - and and consumers where are the where are
• 16:34
  - the very urgent needs that absolutely need to
• 16:37
  - need to be seen because they're they're clinically
• 16:39
  - urgent.
• 16:40
  - Then on the clinician side, we want to
• 16:42
  - make it easy and delightful and simple to
• 16:43
  - be able to provide that access. And and
• 16:46
  - those are things like the the tool I
• 16:47
  - mentioned earlier, Chart Hero, their aspects,
• 16:52
  - like, making it easier to,
• 16:54
  - actually, know, like many organizations are doing, create
• 16:57
  - documentation itself, for example, using ambient technologies
• 17:00
  - to be able to complete the whole arc
• 17:02
  - of the visit, which includes,
• 17:04
  - both the the prep, the intra visit, the
• 17:07
  - post visit, the communication with patients between visits,
• 17:10
  - which can also be simplified
• 17:12
  - using generative AI,
• 17:14
  - for example, with draft responses to in basket
• 17:17
  - messages.
• 17:18
  - And then, you know, I think it also
• 17:20
  - applies to our operations in service of access.
• 17:22
  - So, for example,
• 17:24
  - call center operations with regards to to voice
• 17:27
  - AI, I think it applies to,
• 17:30
  - the mechanisms in which we use to schedule,
• 17:33
  - for example, self scheduling and making that easier
• 17:36
  - to navigate for patients and for our organization.
• 17:38
  - So across patients and consumers, clinicians, and organizational
• 17:43
  - operations, the application of AI in all of
• 17:45
  - those domains is helping to advance our access
• 17:47
  - priorities.
• 17:49
  - That that's so interesting to hear and, like,
• 17:52
  - such a amazing way to think about how
• 17:54
  - you're looking at the mission, the priorities, everything
• 17:57
  - that you need to do, and then bringing
• 17:59
  - in the technology.
• 18:00
  - And I am so curious about the aspect
• 18:03
  - of, you know, asynchronous,
• 18:05
  - training within the clinician organization. I think, obviously,
• 18:08
  - it takes having the patients, be willing to
• 18:10
  - jump in and do that, but, that's a
• 18:12
  - change for clinicians too. And so I can
• 18:14
  - imagine
• 18:15
  - a lot that is going on, but it
• 18:17
  - sounds like you've been able to,
• 18:19
  - really transform
• 18:21
  - how care delivery is happening and and clinicians
• 18:23
  - are able to, pick that up and and
• 18:25
  - really bring forward that mission and, strategy in
• 18:28
  - a strong and meaningful way.
• 18:31
  - Yeah. Yeah. Yeah. Exactly. And I and and,
• 18:33
  - again, I think we need to make it
• 18:35
  - easy and relentless simplification
• 18:37
  - of sort of workflows,
• 18:38
  - ease, delight is what we're striving towards, you
• 18:41
  - know, and the and the technology that we're
• 18:43
  - bringing to to bear as well that we're
• 18:45
  - putting together.
• 18:47
  - I love that. The relentless simplification. I think
• 18:49
  - that it can be a rallying cry for
• 18:51
  - so many aspects of your organization, but especially
• 18:54
  - in health care. Yeah.
• 18:56
  - So before we wrap up, I'm curious, you
• 18:58
  - know, what are you most curious about for
• 19:00
  - the future?
• 19:02
  - Yeah. I mean, I I think that,
• 19:04
  - we are still in early early days, early
• 19:07
  - innings, of course, both with the technology and
• 19:09
  - certainly how we are applying it. And what
• 19:12
  - I'm curious about is how, as going back
• 19:15
  - to the my point earlier that increasing there's
• 19:17
  - there's lots of technology. We have to be
• 19:19
  - able to figure out how to knit it
• 19:21
  - together, how to orchestrate it. And I think,
• 19:24
  - being able to to orchestrate
• 19:27
  - what are a whole variety of solutions,
• 19:30
  - and then also to be able to build
• 19:32
  - shared context and shared memory
• 19:35
  - across those solutions. So all in service,
• 19:39
  - delightful and simple experiences for our patients and
• 19:41
  - clinicians and community and organization. I think I'm
• 19:44
  - curious about how,
• 19:46
  - about the best ways,
• 19:49
  - to be able to do that, to orchestrate,
• 19:51
  - and to knit together
• 19:53
  - capabilities
• 19:54
  - and how that will evolve. And that includes
• 19:56
  - the the the aspect of being able to
• 19:58
  - monitor,
• 20:00
  - all of those capabilities in in a fashion
• 20:02
  - that we're able to consume and then continually
• 20:04
  - learn, iterate, experiment on is something that I
• 20:07
  - I'm curious about, and I, we're very much
• 20:10
  - sort of in the process of of of
• 20:12
  - building and architecting mechanisms to do that.
• 20:15
  - That's amazing to hear and, you know, really
• 20:18
  - inspiring to think about everything you're doing at
• 20:19
  - Penn Medicine. Doctor Adesamali, thank you so much
• 20:22
  - for joining us on the podcast today. This
• 20:24
  - has been a really fun conversation and informative
• 20:27
  - to inspiring again. So thank you again for
• 20:29
  - your time, and I look forward to connecting
• 20:30
  - with you soon. Yeah. Thanks so much, Laura.
• 20:32
  - Thanks thanks to your time, and thanks to
• 20:34
  - the audience for listening.