Join Dr. Deepti Pandita, VP of Clinical Informatics and CMIO at UCI Health, as she reveals how academic medical centers can successfully deploy AI-driven solutions while addressing digital disparities. Dr. Pandita will share tactical insights from implementing ambient documentation, streamlined patient messaging, and administrative workflow automation at Orange County's only safety net academic medical center. Learn how her evidence-based approach to digital health equity has reduced hospital stays, improved operational efficiency, and influenced national policy through her co-authored American College of Physicians position paper on AI in healthcare.
Dr. Deepti Pandita, VP of Clinical Informatics and CMIO at UCI Health
Megan Antonelli, Founder and CEO, HealthIMPACT Live
0:01 - Intro: Welcome to Digital Health Talks. Each week we meet with healthcare leaders making an immeasurable difference in equity, access, and quality. Hear about what tech is worth investing in and what isn't as we focus on the innovations that deliver. Join Megan Antonelli, Janae Sharp, and Shahid Shaw for a weekly no BS deep dive on what's really making an impact in healthcare.
0:30 - Megan Antonelli: Good morning and welcome to Digital Health Talks from Health Impact Live. This is Megan Antonelli, and I'm so excited to have Dr. Deepti Pandita here today. I had the pleasure of meeting Dr. Pandita at the HIMSS SoCal meeting over at the Nixon Library. She is the VP of clinical informatics and CMIO at UCI Health and a physician in the department of medicine. She has achieved many levels of greatness and I am just so excited to have her here. Hi, Deepti, how are you?
1:00 - Dr. Deepti Pandita: I'm very well, Megan. Thank you for having me on your podcast.
1:04 - Megan Antonelli: Yeah, it's great to have you back. It was such a pleasure and honor to moderate the panel you're on at the HIMSS SoCal meeting. But tell our audience a little bit about what you do there at UCI and, you know, sort of your career trajectory.
1:17 - Dr. Deepti Pandita: Yeah, sure. So, like you said, I, first and foremost, I'm a physician. I'm trained in internal medicine, board certified in internal medicine, have been a physician for over 3 decades now. I'm dating myself, but then for the last 2 decades, apart from being an internal medicine physician, I'm also a clinical informaticist. And, you know, I'm what I call an accidental informaticist. I happened to foray into informatics when most organizations were going from paper records to electronic records, and that was my first interest in what is this, you know, intersection of people process and technology. And, it turns out that I had a natural acumen for it and I have been an informaticist for about two decades now in various roles. I would also say that I was the first batch of clinical informatics physicians that got board certified, so I'm dual board certified now. And, it's been an honor to train the future physician informatics generation since then. I still am a faculty for training our clinical informatics fellows at UCI Health. So when you ask me what I do at UCI Health, you know, I am sort of, have, you know, a leg in each area. So I'm in operations in the IT space as the VP of clinical informatics on the health services side, but then I also have a role in the school of medicine as a faculty for teaching our clinical informatics fellows, and then also as a care provider.
2:55 - Megan Antonelli: Yeah, it's such an, I mean, amazing career and you've done, you know, such an amazing job and I, you know, you're such a great speaker because you, you have sort of sat on both sides as a physician and as an informaticist and kind of the implementations that you have done are so impressive. And I think what I love about sort of the informatics discipline is it's such a diverse area that clinicians have gotten into, and I think also women really adopted, you know, kind of went into that space. It was very, you know, in, in an area that is maybe sometimes not as accessible, that many nurses and physicians were able to kind of get into healthcare technology through that space and it has a, has a nice balance to it.
3:42 - Dr. Deepti Pandita: Yes, it does. Yeah, and, you know, I'm glad you brought up the topic of women and informatics because it is a very natural fit, I think, because, you know, informatics, yes, there is a technology piece which, you know, there's always that impression that women in tech are not aligned, but the bigger piece in informatics is around usability and implementation science, which is very natural to the female psyche, we understand, you know, the end to end picture. We never get bogged down into just the narrow picture. We always look at the big picture. And, and that's why it's a very natural fit.
4:23 - Megan Antonelli: Yeah, I never thought about that, but it's true. I mean, the, the analytics piece of it and the real - it gives you that deeper understanding of the whys, right? You know, we get in, we talk a lot about people purpose, the people process and technology, but I think the purpose behind all of it of what we do is so important. And that's what informatics kind of aims to answer, right?
4:45 - Dr. Deepti Pandita: Yeah.
4:46 - Megan Antonelli: So tell us a little bit. I know when we met and, and on that panel, we talked about AI and the AI implementation, which, you know, of course, is really just the - you know, another word for informatics in some ways, right? We've just graduated, but tell us a little bit about what, you know, what you're doing in that space around, you know, clinical decision making and ambient documentation. I know that's been something that you guys have done a lot.
5:11 - Dr. Deepti Pandita: Yeah, so at UCI Health how we are thinking about AI is AI doesn't need its own strategy. AI is sort of the underpinning of every strategic plan we have. So if you, if you think of AI in that manner, then you will pepper it across all your, you know, strategies, plans, no matter what it may be, and then AI sort of catapults that plan in a manner that you didn't think before in terms of driving efficiency, ROIs, you know, operational gains. So instead of thinking of AI as its own standalone thing, we think about it as more of a horizontal across everything we do. But that being said, when we started our AI governance and I chair our AI governance at UCI Health, we thought about it as, yes, we need the governance principles around, you know, trust, transparency, reliability, and everything we talk about in the ARM, but in terms of use cases, we wanted to tackle the high yield low risk cases, use cases first before we tackle the high risk high yield cases. So we looked at the spectrum of where we had those low risk high yield cases, and the problems that we were trying to solve were all around burnout, workforce efficiency, and then also, you know, wellness. So those were the areas that we wanted to focus on, and ambient documentation seemed to rise to the top to address all three. And that's why we, we are very early adopters in ambient documentation. We actually started in December of 2023 when it was just a very, very new tool, and now we have almost everyone in the enterprise using some form of ambient documentation on the physician side. We haven't yet rolled it out on the nursing side, but we do have plans to do that. So ambient documentation is definitely a game changer. I mean, we have so many testimonials from providers telling us like, I'm able to have dinner with my family, I'm able to leave the clinic on time, or I'm the envy of my peers who are not using it as, you know, looking at me as being so efficient, or even things like my patients love it because now they are able to face the patient instead of facing the computer, you know. So really it has been sort of a very rewarding endeavor.
7:44 - Dr. Deepti Pandita: The other big efficiency gain we've had using AI is responding to patient messages. So people don't understand as consumers when they send a message to their provider, of course, you feel that you're the only one in that provider's universe and, and you should get the attention. But imagine each provider has a panel of 1500 to 1600 patients, and if even 1/4 of them message on any given day, that's a lot of messages. And we started looking at it as how do we, you know, enhance the efficiency of responding to these messages. And not all messages need like a physician level decision making. So we started looking at AI as to give us context to the messages, which ones need clinical decision versus those that don't. Like if you're just looking for an appointment or if you're just looking for, you know, what was my last lab results and things like that, you know, those can be dealt with, you know, in a different manner. And then we started creating draft responses using AI for those messages, and that has been really rewarding because it saves the, the providers a lot of time, and because they were having to draft these letters and things like that. So, another great efficiency gain in, in that area. So those are sort of the very low hanging fruit type use cases, yeah.
9:14 - Megan Antonelli: Yeah, I mean, you, you know, and, and that's, I think, I mean, both with that, I mean, in, in what you were saying was sort of that low risk, right? And, and high. I think about it all the time, because I am a mom and I will message my kids' physicians fairly often, you know, I think, gosh, you must get so many of these, you know. But it is, you know, it is efficient and it and it works. So, and, and to think, you know, and a lot of it is kind of - if you know, OK, what do we need to do to fill out the football form? You know, it's not just, you know, clinical stuff. There's so much administrative stuff that has to do it, you know, that you deal with with healthcare.
9:50 - Dr. Deepti Pandita: For sure.
9:51 - Megan Antonelli: To go back to the ambient, you know, tools and, and using them and the physician response. I mean, I think that that, it must be so rewarding because there's been so many times over the years where implemented technology that has not had a positive response, right? And, and to know, you know, yes, physicians are perhaps a bit more tech savvy and, and want that, you know, want the technology now, but to for it to be as new as it is and to have such positive responses, you know, that, that it's doing what it should is exciting to see. Are there - are there specialties that it works best in where you've rolled it out and you've seen it's, you know, better?
10:34 - Dr. Deepti Pandita: Yeah, I mean, obviously, you know, ambient documentation relies on a conversation. So if the patient or the provider is in a position of not having a conversation, it will not work. So think of like an anesthesiologist, you know, it's not going to work or patients in the ICU setting, it's not gonna work. So, those are the scenarios where obviously, you know, you're not going to use a tool like this, but where it is working very efficiently is where the most of the visit is conversational. So think of primary care settings like family medicine or internal medicine or you know, pediatrics where everything is happening in a conversational manner. It's very good at that. Specialties that are more procedurally driven, obviously the yield is lower there, you know, because you have to then sort of, it's not intuitive to a physician to be narrating a procedure, you know, to the patient. So, some, some have actually adapted to that and are doing it and then the tools are working well, but it doesn't work for everyone, right? It's more of a documentation, you know, element there as opposed to, right, as a, as a sort of encounter capture in terms of evaluating, right, when you've got, obviously, you know, metrics around patient and clinician and patient satisfaction. But sometimes these wellness or, you know, as we, you know, call it pajama time or the time saved or not, something that you automatically are measuring. How are you evaluating kind of the, the outcomes and the success of some of these programs, particularly when, you know, they're quite expensive. So where is the, you know...
12:17 - Dr. Deepti Pandita: So we, we do look at those metrics. So apart from just time savings or, you know, in terms of time saved in actual documentation or time to closing of the encounter, which is also important because that has an ROI. The, the sooner you close that encounter, you can send it for billing, that, that, you know, that means that you're getting the payment more quickly. So, you know, our revenue folks like that aspect of it. So there is that tangible ROI there. But we also measure something called NASA-TLX index, which is the cognitive burden on the provider, and we have seen improvements in that, and that indicates that it actually does reduce cognitive burden. We do measure pajama time and we have shown, you know, improvements in pajama time as well, which is the after hours time, you know, spent in documentation. So yes, we look at it as a holistic tool, not just to drive documentation efficiency, but the actual wellness impact on the provider.
13:24 - Megan Antonelli: And are you getting any push back? I know they like it when they have it, but is there - I know certainly in the nursing world, there's a lot of, you know, are we going to be replaced by AI? I mean, I feel like we're having that conversation about physicians for a long time, but how are, how is that going and, and how are you addressing that with within the organization?
13:46 - Dr. Deepti Pandita: It, it, it is a constant conversation and I think it all starts with education. People have a lot of misconceptions about AI, you know, is it going to take my job or is all my personal information getting leaked to some AI tool or, you know, how will it, and, and this is a very valid concern. Will my voice files now could be used in now, you know, in a compliance legal sort of, you know, case or even for our learners in the system, they worry that could this be used to have, you know, sort of subordination issues and, you know, because they can, you know, look up what I actually said, yeah, so, so a lot of those issues do come up and we have to reassure everyone that no, that is not the purpose of the tool and no the tool is not capturing or being sent to anybody who would then have secondary gains from it, so. And, and then our legal procurement, you know, other areas are very cognizant of these things and then they look at the agreements, they look at our, you know, contracts to make sure that these areas are addressed.
15:00 - Megan Antonelli: Yeah, that it must have a lot of ramifications on that side of things. I mean, it, you know, and I mean, it's a similar conversation to what we've been having for years just around notes, right? There are notes and open notes and and the concerns there. But in a world now where we're basically constantly recorded all the time, whether we've got the recording or not, you know, it is a concern and, and in that, in a highly litigious environment of risk and all that, it must, you know, a lot of things to think about. Luckily, those legal teams, their, their jobs are safe.
15:37 - Dr. Deepti Pandita: And, and, and you know, one thing we have been very, very cognizant of at UCI Health is the, the area of consent. We do not use any ambient tool unless the patient consents. And you know, California is a two party consent state so we not only get the consent for agreeing we also get the consent for denying and we document. So that is something we have really educated our providers on is consent for using AI is very important.
16:06 - Megan Antonelli: Yeah, no, absolutely. You talked a little bit about, you know, measuring and understanding the kind of cognitive burden and that the reduction of cognitive burden for the clinicians. I mean, when it comes to - you know, how that translates into their satisfaction, right? Their retention, their happiness, you know, what are, are there specific areas that you are looking at, yeah, to address.
16:34 - Dr. Deepti Pandita: So we, we partnered with an organization called CAS, and we do an annual wellness survey of our provider community and some of the questions there are around EHR related burden and, also around, and we have surrogate measures for, you know, the wellness aspect, which is like intend to leave or intend to reduce work hours and all of that. I'm happy to say that with Ambient we have seen an improvement in those measures in our annual CAS survey. So, so there is some directional indicators. It's, it's not statistically significant yet, but directionally, it is suggesting that these tools are helping the wellness aspect of the provider.
17:25 - Dr. Deepti Pandita: The one interesting area that's emerging, which we have not embarked on yet, but some other organizations have is studying the voice files for distress, you know, provider distress is a big area, especially in nursing, you know, nursing distress is something that is being talked about more and more. So we hope to study that and see if that is, improving or if there are mitigatory measures we can take if distress is related, or picked up in the voice files of the provider. There are studies in the behavioral health field where on the patient side voice distress and voice can be a surrogate for depression, anxiety, you know, all of that. There is enough publications on that, but we want to apply the same principles on the provider side, yeah.
18:17 - Megan Antonelli: And that would be such a sort of advanced way of quantifying their well-being. That would be amazing. So to talk a little bit more about, about the patients and that satisfaction level, has that been something that you've been able to sort of quantify, you know, other than, than that, you mentioned that they, you know, they like it generally, but how, you know, how is it impacting, you know, those kind of scores.
18:41 - Dr. Deepti Pandita: Surveys have directionally shown improvement. Now we don't ask a question, you know, we partner with an organization to do a patient experience surveys. There's no direct question that did your provider use an Ambient scribe tool and did you have a positive, you know, experience, but we have seen that providers who are using Ambience seem to have a little bit higher patient experience scores than those that are not. Now, again, directional but promising.
19:11 - Megan Antonelli: Right, of course. You know, and, and that's, I think that experience element of, as you said, you know, just more direct face time with the clinician is so important. It's what we've all been saying we wanted for so long and then it's, it's ultimately, you know, sort of, what did, what measures and metrics impact that. And interestingly, you know, we have so many providers using these tools now. And, and we have about 80,000 notes now already created using Ambient. We have had one patient decline, you know, to consent to use it, one out of like thousands and thousands. So that tells you that patients are very much appreciative of getting the attention from their providers, you know, at, at any cost.
19:56 - Megan Antonelli: Yeah, right, and appreciative of their own clinicians' well-being, right? Yes, some ways, certainly the pandemic made us more aware and conscious of of that, you know, the stress that is there. So, you know, and that, that is certainly a good thing. So that's, you know, the low hanging fruit. These are the first steps, these are the pilots, the programs. What's, you know, as you think about what's next in terms of AI adoption, at UCI, what's, what's on the horizon?
20:28 - Dr. Deepti Pandita: Well, two big opportunities, you know, being an academic center, we want to, you know, be at the cutting edge, so we want to work on our own LLM, that is health specific HIPAA compliant to drive our own operational efficiency. So that's one. And then the second area we are, you know, eagerly exploring is agentic AI and create, you know, sort of, use cases within the operational enterprise using AI agents. So the simplest example would be we created a bot that just scans our knowledge document database for our EMR and when people are stuck or need help on the spot, they would have to call a helpline or, you know, get, go find a tip sheet. So now with this bot they can just type in a prompt and it's presented to them. So, so again, one, it reduces the dependency on humans, but it also is very fast and, you know, just in time. So there is a win on both sides. So that's the sort of agentic AI we are thinking of in terms of very low hanging fruits and eventually there will be a time where there will be, you know, the human out of the loop completely with agents talking to agents, you know, so, that's sort of the next frontier.
21:55 - Megan Antonelli: Absolutely. And what are the, I mean when you think of the in terms of just sort of the building of the LLM. And even the technology behind that, are there some, you know, sort of resource considerations that are being made?
22:08 - Dr. Deepti Pandita: Oh absolutely, I mean, one, just the GPU concentration. I mean, you can't stand this up without having, you know, that backbone infrastructure. 2, you need very robust data sources. I mean, yes, the EMR could be one, but for all operational databases, you know, there is HR, there is finance, there is, you know, other third-party systems, so you need sort of a very good enterprise data repository, because again, otherwise it will be garbage in garbage out. So you do need good backbone on your data structure in order to even think about standing up your own LLM, yeah.
22:51 - Megan Antonelli: Yeah, I, I can imagine. And in terms of the resources needed from that, are you finding that you're having to increase or your IT staff and IT teams or what's, you know, is it net net neutral?
23:04 - Dr. Deepti Pandita: So I, I wouldn't say it's increasing, I think it's shifting skills. So you definitely need roles like data scientists, you know, who are, you know, AI savvy, so that's a new emerging role, and then even your, you know, so your data analysts who are just used to doing SQL queries and things, you have to upskill them to now think differently. So we are fortunate to be in an educational institution where these resources are available. So I would say we are not hiring net new except for maybe a data scientist or two, but we are looking to upskill our current workforce to be more AI ready.
23:49 - Megan Antonelli: Which is of course across probably the whole organization as well on the clinician side too. Talk a little bit about, you know, with nurses and physicians what the - is there sort of upskilling training that is happening to help them better understand - I mean you said part of this is just education for them to understand what - what are some of those programs look like?
24:10 - Dr. Deepti Pandita: So we haven't done any dedicated programs yet. We do have ambitions to create some micro-learnings around AI both for physicians and for nursing. We do have some resources available through our campus that are free and, you know, that people can avail of. We do provide a lot of sort of at the elbow support in terms of answering questions, you know, when we are on boarding people for, you know, ambient documentation as an example or presenting other tools, and then we do have a lot of work groups and committees. So like I said, we have an AI governance committee. It's a multi-stakeholder committee, we have legal, we have ethicists, we have, you know, researchers all part of that committee. They may not come from a background of AI, but when, when they sit on that governance council, they ask the questions that a layperson would ask, you know, and then when they get those answers, then they disseminate those to their, you know, peers and colleagues. So it's sort of that each one, teach one approach that we are taking, but we do have ambitions to create some micro learnings on a longitudinal basis, very unique to our own providers and nurses, right?
25:24 - Megan Antonelli: Yeah, I mean, and I must as an academic medical center, the, the ability to one translate those learnings into education and and take that, but also that, you know, plus the sort of desire to, do you have in the, you know, sort of research realm and, and kind of how it's impacting research. I mean, I know even in my, you know, simplistic research using these tools is, is amazing, you know, I mean, I get the news and the, you know, the stories of the week and all that stuff and be able to synthesize it and create, you know, lots of content. I can't even imagine when you're working on such complex topics, you know, topics as, as medicine and like, you know, all of the stuff that, that the, these tools are amazing, but then also the dealing with the other side of it, the hallucinations and the hallucinations and, and, you know, sort of sorting through the, the great information and the not so great information is challenging. Are there some guidances around that?
26:26 - Dr. Deepti Pandita: We absolutely on the research side, we absolutely provide those guidances, you know, we, we have actually implemented some AI, you know, rules of the road in, in when IRB, you know, process, for, you know, general publications, you know, there are definitely some guard rails they have put in place. How we approach it is, you know, telling people use it for the administrative aspects of research. So for example, a very cool use case is clinical trial matching for patients. So you know, normally you would need to go through these Excel spreadsheets and look at what trial is available for which patient for which cancer, you know, all of that. Now with AI, you know, you can automate some of that. So, so, but that leads to research. But you have really, you know, reduced the time to match that patient to the right trial. So those are the sort of use cases we, we sort of educate people on, hey, you can use AI for, you know, spending, you know, saving time in terms of matching patients, but then the actual research, you still have to apply the rigor and the methodology that research requires.
27:37 - Megan Antonelli: Right, of course. Yeah, and and you talked about kind of how people are, you know, using their own agents of the organization and, and you have this sort of drive and desire to build, you know, internal agents and that, you know, we used to talk a little bit about kind of shadow tech or physicians or or clinicians, you know, people would get their own tech and manage that. I mean, now it's, you know, there's this abundance of it and so in terms of just is it mostly just kind of governance, these are the guidelines and this is what we're doing, or are they kind of checks as well?
28:15 - Dr. Deepti Pandita: There are checks, so our compliance team is really on top of these things because people can go wrong very easily and people don't understand that there is a very, you know, fine line you're walking, there is HIPAA still applies whether you're using AI tools or not, and the perfect example would be when ChatGPT launched. Some residents started using it to write patient discharge summaries, not understanding that it's not a HIPAA compliant tool. You're leaking PHI, all of that. We got rid of it and had to, you know, educate them, hey, stop, you cannot do this. At the same time, I understood that this was really a question of driving efficiency, and they were liking it because, you know, they would take 2 hours to write one discharge summary, and now it's taking them 10 minutes. So, of course, they're going to, you know, use it. So again, education was key in that and then also some auditing, you know, otherwise people can start, you know, going rogue very easily. So, yes, so we do have some audits in place and we also have, you know, the cautionary things around HIPAA and compliance and consent and all of that.
29:19 - Megan Antonelli: Yeah, no, it is, it is a sort of, it's this, brave new world, if you will, in terms of managing, but it, I have to imagine that from that senior leadership position, it's just, it's almost like, you know, plugging holes in a leaky...
29:33 - Dr. Deepti Pandita: I, I, I, I have spent more time with our compliance and risk folks since AI, you know, became mainstream than I ever did previously.
29:42 - Megan Antonelli: Sure, yeah, absolutely. So as you look sort of a few years out into the, you know, into the future of this, and it is moving fast, what do you think, you know, what does it look like? What does the clinical care picture look like for folks in terms of, you know, whether it's from the physician perspective or from the, the patient.
30:03 - Dr. Deepti Pandita: I think Agentic will be sort of very mainstream down the road, and it just won't be, you know, agents that health systems are buying. I think it will be agents that health systems are creating for their own use. That I think is going to be pretty natural and pretty much accepted, you know, across the healthcare care continuum. And a lot of these agents could be patient facing, you know, they could be, you know, as an example, today when you log into your patient portal, it's an English only medium or could be a couple of other languages, and you can imagine plugging in an agent there where it translates to your preferred language and your reading level and explains everything. I mean, that would be a game changer in terms of patient education. So, so those are the sort of things that excite me about this because it's also an impact on health disparities, you know, when you think about using AI to be the equalizer for disparities as opposed to be the divider, you know, so that, that is something very exciting.
31:11 - Dr. Deepti Pandita: The other thing is, workforce, you know, problems in terms of we cannot staff up like we need to, especially in the nursing side. So whatever we can do to drive efficiency or retain current workforce is important. So that's the other thing we look at in terms of where can AI play a role like virtual nursing as an example, you know, that that is very prime for, every organization where, you know, your actual boots on ground nurses do the actual acute care and then intakes and things like that can be done by virtual nurses. So that's another area that we are excited to look at. And then the third area is, you know, most health systems now have their multi-hospital systems. How can you use AI to scale efficiency across systems, you know, so, you see that, oh, I can predict now that this hospital because of this traffic congestion or this accident happening there, the ED is going to get congested. Can we move people who are still waiting there into another area or direct them to say, don't go to this because this trauma is coming there and you probably won't get seen for 4 hours. You can go to this other center. And it does have very good cognitive computing models to give those insights depending on which parameters you feed. So I think that big, you know, sort of cockpit of providing that insight is going to get very exciting soon.
32:47 - Megan Antonelli: Yeah, we already use the the air, I was gonna say it's like air traffic control, from that standpoint and that, you know, and I do, I think that would be amazing is just sort of like bringing up that triage element all the way into the healthcare system as a whole, and what kind of impact that really have.
33:06 - Dr. Deepti Pandita: Yeah, and to plug in not only just the healthcare into it, we need to plug in weather, we need to plug in ambulance movement, traffic, geography, you know, all that needs to be a data point in that whole spectrum, because then you will really drive efficiency.
33:22 - Megan Antonelli: Right. Yeah, absolutely. And then that efficiency, you know, answers that equity and access question because as there's more efficiency and there's more care available and that it becomes more accessible to people and then you solve solve many problems.
33:39 - Dr. Deepti Pandita: Exactly.
33:40 - Megan Antonelli: Well, it is, it is a promising, a promising new area and I just thank you for spending time with us today. And, you know, if our audience would like to kind of reach out as LinkedIn. Good place to?
33:53 - Dr. Deepti Pandita: Yes, absolutely. And I know you speak at a lot of different events and conferences. So, you know, and you post there, so I encourage everyone to reach out and attend any that Dr. Pandita is at.
34:06 - Megan Antonelli: Thanks so much to our audience for joining us today. You know, the conversation continues every month at Health Impact Live, our virtual events are every 3rd Thursday. And thank you so much for being here. This is Megan Antonelli from Digital Health Talk, signing off.
34:23 - Thank You: Thank you for joining us on Digital Health Talks, where we explore the intersection of healthcare and technology with leaders who are transforming patient care. This episode was brought to you by our valued program partners, Automation Anywhere, revolutionizing healthcare work flows through intelligent automation.