Empowering Nurses Through AI Innovations with Mary Varghese Presti, SVP & GM at Dragon Medical
August 30, 202400:11:34

Empowering Nurses Through AI Innovations with Mary Varghese Presti, SVP & GM at Dragon Medical

Discover how AI is revolutionizing the nursing industry to address workforce shortages and burnout.

In this episode, Mary Varghese Presti, SVP & GM at Dragon Medical, discusses the challenges facing the nursing industry and how artificial intelligence can be used to address these challenges. Throughout this interview, she shares her insights into the workforce shortage, burnout, and the importance of developing solutions tailored to nurses' specific needs. Mary also discusses the role of AI in improving patient care, the responsible implementation of nursing technology, and the exciting technological innovations that can change the healthcare landscape. 

Learn how AI is tackling nursing challenges and shaping the future of patient care. Don't miss out!


Resources:

[00:00:08] [SPEAKER_00]: Hey everybody and welcome back to the Beat Podcast. This is Saul Marquez hosting live

[00:00:14] [SPEAKER_00]: from Los Angeles at the Vive event. Today I have the privilege of hosting the amazing

[00:00:20] [SPEAKER_00]: Mary Varghese Presti. She is the GM of Dragon Medical, an AI powered voice assistant used

[00:00:27] [SPEAKER_00]: by clinicians to document in the EHR. Mary leads the development of GenAI based

[00:00:34] [SPEAKER_00]: clinical workflows for Microsoft Healthcare and Life Sciences. She's a seasons healthcare

[00:00:40] [SPEAKER_00]: executive whose career spans nursing, policy, big pharma and big tech. Mary thanks so much

[00:00:45] [SPEAKER_00]: for joining us today.

[00:00:46] [SPEAKER_00]: Mary Varghese Presti Thanks for having me Saul.

[00:00:47] [SPEAKER_00]: Paul Hager A true pleasure and super excited to get

[00:00:51] [SPEAKER_00]: into our discussion. What are some of the biggest challenges you're seeing in

[00:00:55] [SPEAKER_00]: the nursing industry today?

[00:00:57] [SPEAKER_01]: Mary Varghese Presti What are we not seeing? First of all there

[00:00:59] [SPEAKER_01]: is just the workforce abuse situation that's going on in some settings. There's the

[00:01:04] [SPEAKER_01]: There's the higher acuity of patient load. There is the turnover. There is the cognitive burden.

[00:01:10] [SPEAKER_01]: There's the wanting to go into the profession and take care of patients but spending a

[00:01:13] [SPEAKER_01]: lot of time doing things like documentation and technology. There's a myriad of things

[00:01:18] [SPEAKER_01]: that are going on but I guess at the end of the day the biggest problem is the shortage

[00:01:22] [SPEAKER_01]: and we're at a crucible moment right now in the industry because nurses are leaving.

[00:01:25] [SPEAKER_01]: They're leaving for a lot of different reasons and it's really important to get under

[00:01:30] [SPEAKER_01]: figure out how we're going to solve it because we are all going to be either current or future

[00:01:35] [SPEAKER_01]: patients at some time and we need to make sure that there's a nursing force there

[00:01:38] [SPEAKER_01]: to take care of us.

[00:01:39] [SPEAKER_00]: Paul Hager Totally. Yeah it's a big issue and it hasn't

[00:01:42] [SPEAKER_00]: gotten better since the pandemic has ended. It's actually gotten worse. Can you explain

[00:01:47] [SPEAKER_00]: how Microsoft and Nuance are developing a solution tailored to nurses and their

[00:01:54] [SPEAKER_00]: specific needs and how AI plays a role in that?

[00:01:57] [SPEAKER_01]: Yeah so just to go back to the point you just made. It's not getting better but more

[00:02:01] [SPEAKER_01]: people entered nursing school as a result of the pandemic. So we're actually

[00:02:06] [SPEAKER_01]: graduating nurses. It's just that after a short period of time they leave.

[00:02:12] [SPEAKER_01]: So I think that's really interesting because the pandemic burned out a lot of

[00:02:16] [SPEAKER_01]: people but it also inspired many to go into the profession. We have a long

[00:02:20] [SPEAKER_01]: history in terms of supporting clinicians with their workflow really using voice.

[00:02:24] [SPEAKER_01]: So Dragon is an iconic brand. It's been around for decades. There's really not a

[00:02:29] [SPEAKER_01]: physician you can find who hasn't used it at some point and so we really honed

[00:02:33] [SPEAKER_01]: our craft around the accuracy, the voice capture to the point where physicians

[00:02:38] [SPEAKER_01]: are using it as a third hand every day during their day to document in a

[00:02:42] [SPEAKER_01]: way that is an experience that they can get through so that they can

[00:02:45] [SPEAKER_01]: actually get home to their families. When we think about doing that for

[00:02:49] [SPEAKER_01]: nursing, they share the same arc of burnout but the way that they document

[00:02:55] [SPEAKER_01]: and the way that they work are very different from physicians. So nurses we

[00:02:59] [SPEAKER_01]: believe they need to be hands-free, they need to be eyes-free, they're on

[00:03:02] [SPEAKER_01]: their feet, they're constantly talking to patients,

[00:03:05] [SPEAKER_01]: comforting them, observing them, evaluating them, helping them up. So this

[00:03:10] [SPEAKER_01]: is just a part of their day to day and so how do you actually bring

[00:03:13] [SPEAKER_01]: something that is meaningful enough for them to use because the standard to

[00:03:17] [SPEAKER_01]: use is paper. You see it all the time, they're writing on paper still even

[00:03:20] [SPEAKER_01]: though there are systems that we all have in terms of records, electronic

[00:03:24] [SPEAKER_01]: health records and if it's not paper it's on their hand, it's on their

[00:03:27] [SPEAKER_01]: scrubs and so they're just incredibly busy and they always put the patient

[00:03:31] [SPEAKER_01]: first and what's happening more and more is that there's a book of

[00:03:34] [SPEAKER_01]: activities and tasks that are coming in between that and so the way that

[00:03:38] [SPEAKER_01]: we're looking at it and really with the advent of these advanced

[00:03:42] [SPEAKER_01]: generative AI and these more advanced large language models, it's really

[00:03:46] [SPEAKER_01]: broken open the capabilities that we have now to use technology to solve

[00:03:50] [SPEAKER_01]: these problems but the magic is understanding exactly what is the use

[00:03:55] [SPEAKER_01]: case that's going to make a difference for the nurses.

[00:03:57] [SPEAKER_00]: Thank you for that, yeah there's big opportunity, you really call out some

[00:04:01] [SPEAKER_00]: very real examples of how we could help nurses with this and looking

[00:04:05] [SPEAKER_00]: ahead, how can organizations ensure that nursing technology with AI is

[00:04:10] [SPEAKER_00]: implemented in an intentional responsible way?

[00:04:13] [SPEAKER_01]: First of all, nurses have to be at the table and they have to be at

[00:04:16] [SPEAKER_01]: many different tables. I think for a long time they've been this lost

[00:04:20] [SPEAKER_01]: workforce where we expect everything of them but we put them last when it

[00:04:24] [SPEAKER_01]: comes to investments and technology plays and so I'm super excited to see

[00:04:28] [SPEAKER_01]: the space that we're in right now and they say necessity is another

[00:04:31] [SPEAKER_01]: invention but we are starting to see a lot of change across health

[00:04:34] [SPEAKER_01]: systems in terms of the way that they're prioritizing budget or really

[00:04:38] [SPEAKER_01]: trying to figure out what they can do to innovate around what they

[00:04:41] [SPEAKER_01]: would say is their nursing crisis. Like I said, first of all they have

[00:04:44] [SPEAKER_01]: to be at the table. Second of all, Microsoft is the leader in really

[00:04:47] [SPEAKER_01]: laying out a framework around responsible AI. The rigor at which we

[00:04:51] [SPEAKER_01]: have to go through before we can launch an AI product is exceedingly,

[00:04:55] [SPEAKER_01]: it's a very high bar. So whether it's inclusiveness, fairness,

[00:04:59] [SPEAKER_01]: transparency, security, privacy, there is a very significant set of

[00:05:05] [SPEAKER_01]: checks and processes from testing to bias, all of that we have to

[00:05:08] [SPEAKER_01]: go through and we do that with our clients, with our development

[00:05:12] [SPEAKER_01]: partners. So I think it's really important to ask good questions, I

[00:05:15] [SPEAKER_01]: think it's important to know where you're quote unquote buying your AI

[00:05:19] [SPEAKER_01]: from because we are in this new era and we're just at the

[00:05:22] [SPEAKER_01]: beginning of it. There's tons of promise but we have to really

[00:05:26] [SPEAKER_01]: approach it with a pragmatism in terms of developing it the right

[00:05:30] [SPEAKER_01]: way, developing it so there's real utility and for us we are very

[00:05:34] [SPEAKER_01]: focused on adoption because I think you can create the best product

[00:05:38] [SPEAKER_01]: in the world but if it's not going to get used, if it's not

[00:05:40] [SPEAKER_01]: going to get adopted, it's going to sit there and so we spend a lot of

[00:05:43] [SPEAKER_01]: time thinking about what are the ways in which we need to develop

[00:05:46] [SPEAKER_01]: it? What are the ways in which the experience has to be creative

[00:05:49] [SPEAKER_01]: to the nurse's day to make it a solution that they're going to

[00:05:51] [SPEAKER_01]: adopt and see meaningful use out of.

[00:05:54] [SPEAKER_00]: Yeah, now some great points there from adoption to getting into

[00:05:58] [SPEAKER_00]: it with a very clear framework, right? The different things that

[00:06:02] [SPEAKER_00]: you need for ensuring that technology is going to be responsible

[00:06:05] [SPEAKER_00]: across the different things that you mentioned is critical. Can you

[00:06:08] [SPEAKER_00]: share some of the most exciting technological innovations you

[00:06:12] [SPEAKER_00]: believe will significantly improve patient care and outcomes?

[00:06:16] [SPEAKER_01]: Yeah, so first of all in the United States, in our health care

[00:06:19] [SPEAKER_01]: system we have what I would say ultra high technology medicine

[00:06:24] [SPEAKER_01]: but where I think there's a lot of opportunity is really

[00:06:27] [SPEAKER_01]: applying innovation around the provision of care and that is

[00:06:30] [SPEAKER_01]: really focusing on the providers because if you can really

[00:06:33] [SPEAKER_01]: support them and transform the way they deliver care then you

[00:06:36] [SPEAKER_01]: elevate the patient experience for everybody and you drive

[00:06:39] [SPEAKER_01]: quality outcomes. We've seen a lot of effort around

[00:06:42] [SPEAKER_01]: physicians and this is an opportunity now to really think

[00:06:45] [SPEAKER_01]: about the nurses and from that other members of the care

[00:06:48] [SPEAKER_01]: teams as well. So one of the areas I'm super excited about

[00:06:51] [SPEAKER_01]: is what we've seen around virtual nursing. So you see

[00:06:53] [SPEAKER_01]: nearly every health system experimenting, innovating or

[00:06:56] [SPEAKER_01]: going at scale with different platforms that are about

[00:06:59] [SPEAKER_01]: bringing that experienced nurse back into that room in a way

[00:07:02] [SPEAKER_01]: that is preferable for them, right? They left the bedside

[00:07:05] [SPEAKER_01]: but they have tons of experience to bring and really in

[00:07:08] [SPEAKER_01]: every other industry we've gone remote. So you're seeing that

[00:07:11] [SPEAKER_01]: change, you're seeing different units try different things

[00:07:14] [SPEAKER_01]: and really change the model of nursing care delivery because

[00:07:18] [SPEAKER_01]: in some units it might be we want that nurse to really

[00:07:21] [SPEAKER_01]: do a preceptorship through virtual because we have on

[00:07:24] [SPEAKER_01]: average most of the nurses that are actually at the

[00:07:26] [SPEAKER_01]: bedside these days have less than three years of

[00:07:28] [SPEAKER_01]: experience. So here's the way to bring partner that nurse

[00:07:31] [SPEAKER_01]: up with very experienced nurses. Then there's the whole wow

[00:07:34] [SPEAKER_01]: admission and discharge, it's very time consuming. You

[00:07:37] [SPEAKER_01]: really need to be thoughtful, you need to be very

[00:07:39] [SPEAKER_01]: engaged and you need to have the ability to do that

[00:07:42] [SPEAKER_01]: without interruptions. Is that a piece that we could

[00:07:44] [SPEAKER_01]: do remotely so that the nurses on the floor can focus

[00:07:47] [SPEAKER_01]: on other things? So you see a lot of experimentation

[00:07:50] [SPEAKER_01]: in terms of how might we augment the way that

[00:07:52] [SPEAKER_01]: nurses are staffed and the way that they go through

[00:07:55] [SPEAKER_01]: their shift and they're all doing it differently and

[00:07:57] [SPEAKER_01]: they're all finding different ways to find ROI and I

[00:08:00] [SPEAKER_01]: think that's wonderful. I think that's going to bleed

[00:08:02] [SPEAKER_01]: into more and more technologies that also start

[00:08:05] [SPEAKER_01]: going into that intersection between that patient

[00:08:08] [SPEAKER_01]: and the provider and also between the provider, the

[00:08:11] [SPEAKER_01]: physician and then the nurse and also between the

[00:08:13] [SPEAKER_01]: nurse and the broader care team. As we start

[00:08:15] [SPEAKER_01]: getting into those areas with more investments in

[00:08:17] [SPEAKER_01]: technology I think that's where really the

[00:08:20] [SPEAKER_01]: provision of care not necessarily the high tech

[00:08:23] [SPEAKER_01]: medicine that we all do have in this country

[00:08:25] [SPEAKER_01]: but that provision of care is actually going to be

[00:08:27] [SPEAKER_00]: transformational. Love that. Yeah I think it's very

[00:08:29] [SPEAKER_00]: promising and the different angles that you shared

[00:08:32] [SPEAKER_00]: could really be beneficial to a lot of the nurses

[00:08:35] [SPEAKER_00]: that are practicing today. Artificial intelligence

[00:08:37] [SPEAKER_00]: and machine learning are buzzwords in healthcare.

[00:08:41] [SPEAKER_00]: In what ways do you see these technologies making

[00:08:44] [SPEAKER_00]: a tangible impact both on providers and patients?

[00:08:47] [SPEAKER_01]: AI has been around for quite some time. Dragon

[00:08:50] [SPEAKER_01]: Medical is AI, it's voice powered. I think that

[00:08:53] [SPEAKER_01]: what we're going to see in the future because

[00:08:55] [SPEAKER_01]: we are in this very beginning of this era is

[00:08:58] [SPEAKER_01]: we're going to, it's going to be ubiquitous. We

[00:09:00] [SPEAKER_01]: are going to see co-pilots for all sorts of

[00:09:03] [SPEAKER_01]: different roles to do all different things. But

[00:09:05] [SPEAKER_01]: I think that some concerns around AI is going

[00:09:07] [SPEAKER_01]: to take jobs. I think the really the way that

[00:09:09] [SPEAKER_01]: we've all adapted around technologies today

[00:09:12] [SPEAKER_01]: right whether it was the internet or mobile

[00:09:14] [SPEAKER_01]: or social media is it changes the way that you

[00:09:18] [SPEAKER_01]: work. So with AI I think you can pick off

[00:09:20] [SPEAKER_01]: certain tasks and then augment the person

[00:09:22] [SPEAKER_01]: doing those tasks so that person can actually

[00:09:24] [SPEAKER_01]: focus on perhaps different things that they wish

[00:09:27] [SPEAKER_01]: they could be doing if they weren't doing

[00:09:28] [SPEAKER_01]: these other things that might be a little bit

[00:09:29] [SPEAKER_01]: redundant or could be automated. So I think

[00:09:32] [SPEAKER_01]: those are all great opportunities. I do think

[00:09:35] [SPEAKER_01]: that we see voice as the new user interface

[00:09:38] [SPEAKER_01]: we think with ambient, with all of these

[00:09:40] [SPEAKER_01]: technologies where you can just speak. That is

[00:09:43] [SPEAKER_01]: a tremendous way to really think about AI

[00:09:45] [SPEAKER_01]: changing sort of the way that you go

[00:09:47] [SPEAKER_01]: through your day. When the Microsoft Suite

[00:09:49] [SPEAKER_01]: co-pilot's now being rolled out and it's

[00:09:51] [SPEAKER_01]: great. You can choose to use it. I choose

[00:09:53] [SPEAKER_01]: sometimes to use it. I choose sometimes to

[00:09:54] [SPEAKER_01]: turn it off. I choose to see as a bake

[00:09:57] [SPEAKER_01]: off. Do I like that better or not? But it's

[00:09:58] [SPEAKER_01]: augmentation. It's an assist. But I think we

[00:10:01] [SPEAKER_01]: all could benefit from that.

[00:10:03] [SPEAKER_00]: Love it, Sed. We definitely can all benefit

[00:10:05] [SPEAKER_00]: from these new technologies in our day to

[00:10:08] [SPEAKER_00]: day and especially health workers. I really

[00:10:11] [SPEAKER_00]: can't thank you enough, Mary, for spending

[00:10:13] [SPEAKER_00]: some time with us sharing the insights that

[00:10:15] [SPEAKER_00]: you and the Dragon and Microsoft team have.

[00:10:17] [SPEAKER_00]: What closing thought would you want to

[00:10:19] [SPEAKER_00]: leave the listeners with today?

[00:10:21] [SPEAKER_01]: I guess I would say be open. We are really

[00:10:23] [SPEAKER_01]: in this amazing time. We don't know what's

[00:10:26] [SPEAKER_01]: going to be but I think it's safe. We all

[00:10:27] [SPEAKER_01]: put our heads together and make sure that

[00:10:29] [SPEAKER_01]: we're focused on the right problems. I think

[00:10:31] [SPEAKER_01]: we're going to come out ahead.

[00:10:32] [SPEAKER_00]: Thank you for that and certainly excited

[00:10:34] [SPEAKER_00]: to see what you and the team do to give

[00:10:36] [SPEAKER_00]: us a bright future. Thanks, Mary.