AI That Charts for Nurses? Microsoft’s New Ambient Tool Could Ease Burnout and Save Time (With Mary Varghese Presti)
12 Feb 2026 · 35 min
Mary Varghese Presti, a former pediatric nurse now at Microsoft, discusses Dragon Copilot for Nurses, an AI tool that captures spoken observations and auto-fills documentation in Epic. Pilots across ten health systems showed nurses spent less time charting and more time with patients, with faster documentation and better data consistency.
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Welcome to Club Nurse. I'm Colton Lord, your host. By you being here today, it shows me that you are someone who wants to learn, grow, laugh, Connect and just let your emotions flow. We are here to share real stories and hear real life experiences from real people. You are not alone in this, and Club Nurse is here to show you that. Don't forget to follow the show and share today's episode with someone you love. Now let's dive into today's conversation. Welcome back to Club Nurse. My name is Colton Lord, your host of this podcast. Uh, I have with me a very interesting guest today. This is something I'm actually really excited to talk about. I have Mary Presti here. Mary, if you don't mind just kind of introducing yourself, telling us who you are and what you do in the nursing world.
Yeah. So thank you, Colton. It's nice to chat with you again. I am a corporate vice president in the Health and Life Sciences division of Microsoft, but I actually started my career inside the healthcare system at the bedside as a peds nurse at Hopkins. And I worked with people, you know them, you are them, you know, who came to work every day to do our best so we can deliver the best care for our patients. And a lot, a lot of that time, the broader system around us, right, can make that hard. And so that ended up pulling me into roles that allowed me to work on the system itself. So from national healthcare policy and quality measures to payment reform, and really for the last 10 years or so in technology. And tech has been heralded for some time, as we all know, as a massive enabler. And at Microsoft, we're talking big tech. The through line for me has been really consistent. I really, you know, I'm really committed to taking what I know about being on the front lines, what it takes to care for patients, and try to make healthcare work for the people who deliver care and the patients who depend on that care. And I'm really excited to talk with you, Colton, because we need nurse voices in so many different rooms, and especially in rooms where— innovation is being charted and the future of healthcare is being designed. And I'm talking from product to operations to strategy to the boardroom. I love to see it.
Yeah, no, I agree. I think that was— I've had a few people that I had met at the health conference in Vegas, which is where I met you on this podcast. And I think it's those places that it's so important to have nurse voices being amplified and being part of the conversation. And it's really inspiring to see. And I think a lot of You know, I think a lot of people really underestimate how much nurses really do bring to the table just with our experience and the things that we're seeing. So I would love to kind of hear, if you don't mind sharing, like how, how did you transition into more of like a role that you're doing now versus like when you were working, um, with direct patient care?
Well, it didn't happen immediately. It's been 30 years in the making. I, when I was working at Hopkins, I also pursued my master's in public health and health policy, uh, really because I was very intentional about wanting to understand the system. And from a perspective of how is healthcare organized, how is it financed, how is it delivered? And it was quite an education. And from there, I got into consulting, but the consulting was more on the policy and the federal government side. And at that time, it was really around, if you can imagine it, maybe 12% adoption of electronic health records at that time. So we would sit around tables saying, how do we get physicians and health systems to adopt? Because as a— Right. Sort of a national population health sort of priority, if you don't have sort of the data to take you all the way back, remember those manila folders that were behind every receptionist? Information was trapped in physical locations. And so from a US government perspective, in terms of managing the population of Americans, it was incredibly difficult to have any kind of view on how we're all doing. And so there was this huge push to invest in technology. And, you know, we had the Meaningful Use Program, etc. So that was a huge education for me in terms of how these things happen. And I just continued to pursue different kinds of roles that helped me sort of take a piece of healthcare and, and sort of work on it. So I did spend some time at Pfizer and Big Pharma, at Athenahealth, which was a pioneer in cloud electronic health record. I was at IBM for Watson Health, you know, they were an early pioneer And now I'm at Microsoft, and Microsoft acquired Nuance. And Nuance, many people know it for Dragon and for PowerScribe. So it's just been, I guess the way that I would talk about my journey is I just, I'm sort of a junkie for how to solve problems in healthcare. And it really comes back to those days at the bedside, where there are so many different things that are happening that are being shifted and evolved over time, of course. But all those things, at the end of the day, the unit economics of how healthcare is delivered, it ultimately at some point lands on a nurse and how a nurse is handling a patient to grapple through. So if it's good stuff, it's great. If there continue to be gaps and challenges, it's really hard. And so again, that's really what fuels me.
Lovely. Yeah, thank you for sharing. And that kind of going back to, you mentioned working for Microsoft. I spent a little bit of time at the Microsoft booth at the health conference, and I was really fascinated and I was excited to be to just kind of test out, see how this is working. So that's really the big reason why we had you on the Club Nurse Podcast today was to talk about this and maybe introduce to nurses who are unfamiliar with how this works and how we might be seeing this going forward in our care. I think there's been, or I know that there's been a lot of conversation and fear and just different mixed feelings about AI in really any profession, but specifically we're talking about nursing here. So I think that the more that we can have these conversations and the more that we just expose people to it, even if maybe people aren't ready to fully let that in, just letting them maybe hear the conversation, planting that little seed to where like maybe the next time they hear it, it's not causing them as much like fear or stress. So let's talk about it, the Dragon Copilot. I think many of us have seen, you know, doctors using dictation systems and things like that. But if you don't mind just explaining to us like what is the Dragon Copilot? How is this something that's gonna help nurses improving their care and, you know, more efficient in their nursing care, spending more time with the patients.
Yep. So Dragon Copilot for Nurses, let's talk about what it actually is. It is an application on your phone, so a mobile application. Right now it's the Rover app. So Epic's Rover app on your iPhone, and you walk in and it's ambient, which means it's voice-based. So you come in and you speak out loud your observations, and the technology will sort of show you back what you had just observed and what you want documented. And then if you agree with it, and you can edit it, you can hit send, and then it populates all the different fields in multiple different flowsheets, right? So as nurses, we know we're, we're checking, we're clicking, we're charting. It's such a big part of a shift, especially on the inpatient side. What this is actually allowing nurses to do is really focusing on the patient. And kind of the documentation now is kind of happening in the background. It is different because, as we all know, nurses are the silent surveillance system, as I like to think about it. You come in and you clock, is the patient breathing a little bit labored? You kind of quickly look at the O2 sat. Maybe as you walk over to say hi, you could do a little cap refill. You're just doing all of these little things just in your mind. And so this is actually requiring you to narrate what you're seeing. But the benefit is that you don't then walk out and then have to then go into all those different flowsheets and document. I think that when you think about physicians, like you said, Colton, they've had dictation for many years. And so they're used to— you've seen the physicians at the bedside, I mean, at the nurse's station with the mic, and it's just sort of dictating. Dictation is very explicit. You have to speak a certain way for the technology to capture. Ambient is You have a lot more grace in terms of being much more conversational. So it is really exciting. We're getting really great feedback from those that are using it. Pretty significant time savings back to the nurse. But it is a change for how nurses are used to working, right? Like I said, I do think that when I say surveillance system, the nurse is the one role in the healthcare delivery system where you are in charge of a patient for 8, 12 hours. And so you're surveilling because you're making all of these different observations. But in a matter of that shift, you're looking for trends, you're trying to— you're looking at patterns, right? Every observation is in addition to, is this patient decompensating? Is this patient actually trending up? Is there something new that's happening that looks like it needs a little bit more attention? That's constantly going on during a shift. And so I think it's really important when you are starting to actually say it out loud, You now have technology that's actually capturing all of that and not waiting for you to see it, then go see 5 other patients, then go back and sort of batch document. And let's face it, like, that's a pretty significant cognitive load as well.
Mm-hmm.
So I think the cognitive burden or sort of the cognitive burden alleviation— nurses also have, you know, I feel a real emotional burden that happens because you feel like you're behind and you're not getting to those things. There's a physical burden of being on your feet constantly for those 12 hours. So I think this is really a step change in a technology that is purpose-built for really having looked at how a nurse works and how do we actually give nurse time back, alleviate that burden, and actually enable technology to really go into the background.
Again, I was able to use this at health and kind of see an example. But so how is this working? And because kind of what comes to my mind is maybe a barrier, or I'm not sure, is if you're, you know, I come from the ER mostly. I just, you know, I think about like the noise and especially in like a, you know, an emergent situation. It's just like there's a lot of people and there are a lot of voices, a lot of things being said. So is that something that's used in that scenario or is this more of a, you know, like a— When you're in just like an inpatient setting where you're going in and it's kind of like a more one-on-one with the nurse and the patient? Yeah, how does that work if it's picking up a bunch of conversation?
Yeah, so the technology is actually wonderful. So the Dragon Copilot that we have for physicians, we do have that in the emergency department. So it is working really well even when there is that other noise behind you. The Nursing Copilot, we're starting out with bedside med-surg nurses. So it tends to be maybe there's another patient in the room. But it's, it's doing— it's, uh, that, that's not a concern in terms of how the technology works.
Okay, gotcha. So you kind of already— you kind of touched on this about, um, how, you know, a lot of this was initially built for physicians. And so I guess, yeah, how, how are you seeing that shift to help nurses at this point? Yeah, I know you kind of touched on that.
So the Dragon Copilot for Nurses was not built for physicians. Dragon is a brand that is known for physicians. For too long, we have taken what we built for physicians and said, here, nurses can also use it. And not only is that not respecting the fact that a nurse works very differently than a physician, but it's also suggesting that nurses should just make do with whatever has been created for really a completely different profession. So, as you know, physicians document SOAP notes. It's narrative. You're having a conversation. Nurses document very differently, right? A lot of it is in flow sheets. So out the gate, we set out to create a product for nurses. It's just that we had significant experience because we did chart this course for physicians as well as radiologists, frankly. But this is a product that we built for nurses and we built it with nurses. So we spent a lot of time talking to nurse leaders, nurse managers, staff nurses. We call it private preview at Microsoft, but we piloted the initial product with 10 health systems. So we're in the units and we're really looking to the nurses and the nurse managers to tell us, you know, we built the product, but like, how do we actually now bring it into the unit, into their actual physical daily workflow? And let's learn together. And we've had really wonderful learnings on that.
I love it. I love it. So kind of take, take us through kind of exactly how this works, kind of like top to bottom. So you walk in, you know, are you hitting, are you hitting record? And just kind of talk to us about how, you know, how it's working as far as that, because I remember seeing the conversation, you know, kind of being translated, I guess. And then how does that go into the flow sheets? And then, and then you're kind of just going through, yes, this is right, this is right, and then signing at the end, and you can kind of edit.
Yeah, so some of our health systems, you know, they call it narrate with care. Some people, you know, call it caring out loud. But if I were to sort of model it, you know, I'm about to go into a room, maybe I think that I'm going to do an assessment, do vitals, or maybe I need to do a number of different things, a full assessment. I go in and I explain that I'd like to use this technology, get consent from the patient. The patient says, sure, I hit record. And then I put it down. I'm just talking to the patient, right? So I say, hey, Colton, you know, I see you got out of bed this morning. How did that feel? You respond to me, oh, it's a little bit shaky, but I managed. And I said, well, I see your breakfast is only half eaten. Are you still hungry? Maybe you say, no, I'm full. And I might say, hey, how's your pain today out of 10? Maybe you say it's a 6. I take a look at your IV and I say, hey, it looks like your IV is looking good. I'm doing a lot of— I'm taking your vitals and I say, hey, your temperature is this. I just am saying these things out loud. And the recording is capturing all of these data fields. And by the way, I might be in there for 20— I might have thought I was going to come in for 5 minutes, but I'm in there for 25. That happens to all of us, right? So the great thing is there's so many other observations that end up happening that the product is capturing as well. So it's not just the things that I would— that I thought I was coming in to do. And what we're finding is that patients really like this because Depending on how busy you are, we all as a discipline in nursing, we want engaged patients, we want informed patients, we want shared decision-making. And when you are narrating out loud, they're part of it, they understand. And sometimes when you're running from patient to patient, that's one of the things that you miss, right? So now you're able to actually engage. And we're actually seeing in some of these sites, the HCAHPS patient satisfaction surveys around nurse explained, There are very specific metrics around nurse listened. Those are going up. So the patients are actually really seeing a benefit and an improvement in terms of their experience during that stay when nurses are using this technology, which I think is really wonderful. So let's say now I leave the room and I'm checking my phone and it shows all the different observations. If there was an error, I can correct it. It's because I haven't sent it yet. If I also want to add some color based on what I saw, I could add that in. Or, you know, if I want to just append something. So I am, I'm checking the accuracy. It's not like I'm just completely depending on the technology. I check it. It's still my judgment that this is the right information. And then I hit send and then it populates the various different flowsheets and I go immediately to my next patient. Hey nurses, looking for exclusive discounts? Nurse.org has you covered with deals on everything. Save big on the essentials you need to excel in your career. Don't miss out. Visit nurse.org/discounts for the latest discounts made just for you.
To me, it seems like this is something kind of like what you said, like it really lightens that mental burden cuz you, you know, you're right, especially on a med surg floor, depending where you work in, uh, in the country, um, specifically your ratios can range, right? And trying to, like you're saying, you're hopping from one patient to another and some nurses do, you know, when I, I worked med surg at one point, sometimes it would be, if you had the time, maybe you'd see a patient document, next patient document. But I think more times than not, it's, I need to get all my morning stuff done and then I'm gonna sit and document on my 4 to 7 patients. And yeah, trying to recall all that information is not easy. And then like you're saying that I can understand from a patient's perspective, if, you know, if the nurse is, you know, not necessarily being forced, but like, you know, for the documentation purposes, kind of being forced to say things out loud, that probably really does help with that, like communication barrier and making sure everybody's on the same page, um, and understanding. So I think that's really great.
Yeah.
Is this already being like where systems are already using this as their standard of practice, or is this still just being kind of like tested places?
Um, it's gone from being tested in places to those places now scaling it to more and more units. We just went GA, generally available, uh, the first week of December. So it is now, uh, available on the market. So it's, it's early days in terms of the uptake, but we're very deep with these, uh, different health systems that we've been piloting with since Really for several months now. And, you know, when I, when I'm seeing the impact in those systems, I'm super excited for all nurses, but also all patients, because what we're finding is just in general, things like skin documentation, mobility, pain assessment, the amount of documenting against those things have actually increased. So, so there's more documentation happening more consistently. But you made a really good point, Colton, also the latency or the time to document. is shortened dramatically, right? Because you go in, you speak out loud, you leave, and the documentation's done. And then you go in, you get to see all your patients. The reason why that is something I'm super excited about is the faster things are documented— we go back to that surveillance system— the faster the signals are captured and the quicker we see patterns. And then the more, the more responsive we can be in a timeliness perspective on interventions that are needed.
Yeah.
Right? Interventions that make a real difference in patient outcomes.
Yeah.
So that aspect, I think as we see this roll out more and more, that's gonna be a huge benefit. And I know as a nurse, constantly in the back of my mind, am I getting to this? Am I able to be there for my patient? Am I seeing everything? Just to know that like all of that is being done. And so I feel, you know, comforted that I am delivering the best care that I possibly can give when this patient is in my charge for this shift. I think those kinds of benefits, which will come in time, or we will start to see them in time, those are going to be extremely exciting for all of us.
Right. And I mean, I think anything, you know, I think most nurses will agree, anything that can make you more efficient or you have more time with a patient. I mean, that's one of the things that I think leads to burnout most with nurses is just the emotional load that we carry. And, you know, by the time you get off your 12-hour shift, you're just fried because you're running around. Like a crazy person all day. Um, so any little way, and documenting is a big part of our job and we spend a lot of time at a computer documenting. So when you just think about, again, especially when you have upwards to 7 patients, if you, if you're really cutting, I mean, cutting that documentation time down, you're really freeing up a lot of your day to deliver better patient care, maybe catch things that wouldn't have otherwise been caught earlier to improve the patient outcome, just improve their satisfaction. I feel like it just has like a ripple effect to like all these different things. So I think that's really exciting. And like I said, I I remember seeing this at Health. If anybody's listening, we did post about it on thenurse.org and on my Instagram as well, how I felt about it. And I just felt like it was— I had never heard of this technology for nurses. So that's why I was like, yeah, we need to get the word out for people to understand that, you know, this hopefully will be coming to them at some point. Like any nurses that you've talked to, have you had any like feedback from them of like questions of— You know, concern, or do they all seem pretty excited to use it?
So I think, uh, so first of all, you know, the fact that Microsoft has spent the time and the energy and the investment to create something for nurses, I, I think most, you know, nurses that I speak to are super excited about that because for decades nurses have been told that the friction in their day is just part of their job, right? And, and we just don't accept that. So I think in general there's huge sort of energy around the fact that this is, again, not a me too, it's created for physicians, and now you guys can use it too. It's for nurses. And it's really putting them at the center of their burden, their workload, and how might we actually innovate for them. So there's a lot of excitement. Now, in general, anytime that you introduce new technology, and by the way, this isn't just nurses, this is for all of us in every part of our life. It takes a minute, right?
Sure.
And so I think it's going to be important for nurses. And this is where the the different partners and sort of how we implement and how we design for adoption is gonna be really key. Because if you think about what we just said about these high-stakes observations and pattern detection and how that is so important, you also have to undo years and years, really decades of training just across the paradigm of nursing that you kind of just do that silently.
Mm-hmm.
And, but I think, I mean, Look, I think the average age of a nurse on the floor these days is in the mid-40s. Most of us are digital natives. We do everything with our phones. And so in our life outside of the floor, I think about just like Venmo and Cash App. You used to be kind of embarrassed when somebody owed you money. Now you just send it. It's transparent. Everybody knows who's paying everybody for what.
Yeah.
Changed how we even split the bill.
True.
That all of those things are workflows and they've all changed and we've all learned how to adapt to that, right? And one of the things, of course, being Microsoft, I'll just share for the nurses that are listening that, you know, maybe still remember what it was like to write papers in school or in grad school. You know, I used to be constantly hitting Ctrl+S for save when I'm in Word and working on a paper because God forbid I don't want to lose any content. Like, what if my computer crashes? And then Microsoft came out with autosave and I just stopped worrying about it, right? Because it was in the background. I don't think about it. And so if you think about a nurse coming in and constantly juggling like the observations with the documentation that needs to happen, right? I'm in front of my patient, I'm seeing all these things, but I also have to go document. I see this a lot like that Microsoft Word autosave where it's like, okay, I can— I know that it's going to get documented. And so I think it's going to be Nurses have to really understand the benefit to them. Because with AI, right, you have to use it, you have to use it consistently, it gets better the more you use it.
Sure.
You need to stick with it to really make sure that you get that benefit. And then of course, the burden is on us to make that experience delightful, to make it easy to use, to make sure that it's accurate. All of those things are on us. And it'll be a partnership. But nurses are the most resourceful, adaptive, Right. People I know. So I, I'm actually not concerned. It's just getting through that journey with them.
Yeah. Yeah. I like the analogy of the, the autosave, 'cause that, that makes total sense to me. You're kind of, you can kind of just like let that go in the back of your head and, and focus on something else. And I think, you know, what I, what I've gathered with just AI in general is, you know, I was, I mean, I don't know, when the internet came out, I was, I couldn't even, you know, I was, I was young. I had no idea what was going on. But I, I, I imagine that people had the same fear of like how this is gonna change everything, or nurses who went through, You know, charting on paper to electronic documentation. Like, that's a huge shift in, in the way you do your job and the way care is delivered. So this is just another step in that. And, you know, naturally it's gonna come with fear. It's gonna come with like big questions. And I think the big questions are, are good for people to ask. You know, let's be part of the conversation. And, you know, if you're a nurse listening and you are afraid of AI or you're, you're, you're afraid of how is this gonna change my care, you know, get involved in the conversations, ask the questions, inform yourself. I think the more that we, The more that we're exposed to these things, again, it's like I was saying earlier in the conversation, the more you just hear these things, you know, even I can just speak from, for myself, the more I've had these conversations, it's like I don't even have any fear about it at all at this point. You know, it's like, this is just where we're going. So we gotta embrace kind of that trajectory that we're on. And I, I think this specifically, you know, there's so many different technologies and AI coming in for a myriad of reasons, but I think this one specifically Is something that's really, really, really going to help nurses. And I, I, I really believe that. I did have a question. So if you, you know, if a nurse didn't want to do the conversation piece or whatever, is there an option for nurses, you know, after they leave the room to be able to like do a kind of like a, I don't know, like a narrative on the phone that would then go to the flow sheet? Or is it, does it have to be like the conversation piece?
No, that's a great question. So we call it conversational as well as monologue. So if you may, maybe it's something really sensitive, right? And you, you don't, Maybe there's some sort of social situation going on, whatever it is. So you can absolutely step out of the room or find another quiet place and just say, Colton was ambulating today without pain. The pain's— you can do both.
Gotcha.
Yes. I just was talking about the benefit of doing it in the room because there is a patient benefit that we're observing. And it's really interesting because a lot of nurse leaders really, really are very excited and committed to encouraging nurses to speak out loud in the room because they want that patient engagement. They see the benefit of that and they understand that it's a little bit awkward in the beginning. Also, sometimes when you speak out loud, they have more questions and you have to answer the questions, right?
Yeah.
So I'm hoping it all nets out because the time savings you get from not having to spend as much time documenting, you gain in terms of actually being able to spend time with the patient and answering those questions. There's another element to the product too, Colton, that we haven't talked about, which is we call it Information Assist. At Microsoft, when we talk about a copilot, a copilot is around automating and making things that you do today easier and faster, right? And so the documentation is easier and faster. But the other thing is information lookup. So if there are, you know, sort of leading resources that the health system uses for their nurses, Lipincott, you know, whatever it is, that can be available through the Dragon Copilot for Nurses. And then what's going to be coming very soon, which I'm extremely excited about, is health system-specific sort of policy. So, and I say this because not just for nurses who are on float pool or travel nurses, but even just like you've been on the same floor for 3 years but just haven't given this, like, maybe you haven't given a blood transfusion in a while, or it's been a little bit since you've done a central line placement, just being able to like pull up the policy. Okay, it's every, you know, it's every 10-minute vitals for this many times or whatever it is, like, just having that at your fingertips is also again, reducing that burden, reducing the time, improving safety, improving quality. But it's all just bringing as much insight and intelligence to the nurse where they are, right? Because nurses are not— and you know, we're not sitting at the nurse's station all day long.
No.
free and eyes free and quickly look up something because they're on their feet constantly, but the information is with them on their phone, right? It's right there. I'm real— I think that that's going to be—
It's exciting.
A next order of magnitude of like being a game changer.
Gotcha. All right. Yeah. Is there— so is there anything else that we, that we did not cover that you think is really important for nurses to know about this? Um, any other exciting technologies or things that you wanted to kind of talk about? with the Dragon Copilot or anything that you're up to with Microsoft?
Yeah, I mean, so look, we just launched in December and it is, you know, with all of these things, it's the initial product. It's only going to deepen and have more and more feature functionality. So, you know, a lot of health system rooms are now wired. And so, you know, we have a lot of things underway around how to make it even more hands-free. How is it that you come in and you're actually, connecting with all of these different kinds of technologies. There's virtual nursing platforms, etc. So how do we just continue to become part of the technology ecosystem? So it's so intuitive, and it's not something that the nurse has to, you know, really think about or do. So I think health systems are making wonderful investments in the technologies in the rooms themselves and investing in virtual nursing platforms. And we definitely have plans to integrate and so to make that really, really seamless for the nurse. I think one thing that I just want to touch on is something that you were sort of hitting on throughout, which is the nurses should know about this. They should know what they're going to get from being facile users of it. They should be educated about AI. And this is a wonderful forum, Colton, because you're asking great questions so that this is on the path to them becoming more knowledgeable about AI, to not be afraid of AI.
Mm-hmm.
Because really, the AI is here to support and augment their work. And I see a lot of headlines and clickbait about, you know, AI is gonna come for your job.
Mm-hmm.
There is so much that a nurse does that has to do with that high-stakes surveillance, right? That pattern detection, physical touch, physical assessment.
Mm-hmm.
So when we think about this AI, It's taking the sort of lower, like, I don't want to say value, but like the things that either can just be spoken and done for you so that you can actually do the high-value work, which is really focusing on the patient, really having the time and the cognitive load to do that assessment, picking up on like the little nuances. Again, all of this is around that surveillance that happens 8, 12-hour shifts. In a day. And so really understanding how AI is going to help you be a better nurse, as opposed to AI is going to come and take my job, because we're looking at a pretty significant nursing shortage, and in general, a healthcare shortage. So—
So we need help. So AI can help.
So they can help. And also, a lot of health systems I talk to, they want to reduce the burden, they want to retain their nurses, they want, they want to recruit recruit nurses, right? And so I think that, you know, the more that there's trust in the technology, trust in the systems that are choosing the technology, I would love to help nurses along that path because physicians come in and demand it.
Yeah.
And so when I think about this, I think about, you know, for me, it's about nurses deserve AI, but we have to get over the hump of knowing what it is, understanding how it's gonna benefit them, gaining trust in it to then fully lean in and say, yeah, I deserve that.
Yeah.
I deserve that in my shift.
Right, right. We don't, yeah, we don't want to be the ones left behind with, you know, with all this advancing technology and all these efficiencies and all that. We don't, we don't wanna be the ones that are left behind without, without the tools to help us do our job better. And like you were saying, um, I, like I said, like it kind of gives you that time to do those more like high value You know, things, those are the things that why we got into nursing, right? Like nobody, and I'm sure I can speak for the entire profession, nobody got into nursing to be someone who sits and documents, you know, like nope, nobody. That's just part of the job that nobody loves to do. We just know we have to. Um, and so yeah, I think that kind of just ties it all in. Like that's, that is what this is doing is giving you that time back to do those skills that you like to do or to be with the patient because that's why you got into this job was to help people and, um, and to be that person for them, um, when they're in this like really vulnerable place where they're sick or going through, you know, whatever they're going through. So I love that. I appreciate your time. This is super exciting stuff. Where can people, if they're interested, where can they continue to kind of see things that you're posting? Are you most active on LinkedIn? Is that where you post more updates?
Yeah.
Okay. All right. And so what is it? How do they find you on LinkedIn?
You can find me as Mary Varghese Presti on LinkedIn.
Okay, perfect. Yeah, I will link those so people can, can find you as well. I've gone through your LinkedIn. I see that you, you share things and you post things and Um, things that are really important for nurses to hear. So, uh, thank you so much, really. I think this is going to help a lot of people. And again, at the very least, I think that it will help maybe nurses just take a deep breath and be like, okay, maybe, maybe this, maybe this is something in AI that I can look forward to and maybe see in, in my job or my healthcare system one day. So.
Yeah, take a deep breath, use the restroom in a 12-hour shift, being able to like leave and take an extra 45 minutes cuz you didn't get to your documentation.
I mean, Yeah, right, right. Not having to stay after work to chart because you didn't get to it through your whole shift.
Yeah, because you put the patient first and you were doing all of that, and then now you're using your personal time to complete the work you have to do before you can leave. So I mean, all, all of the above. I'm so excited to start seeing this, like, break down the things that are keeping them from the lives they live.
Yeah, yeah. No, I, I totally agree. That's, this is great. Thank you so much, Mary.
Thank you, Colton.
From the bottom of my heart, I wanted to thank you for being here at Club Nurse. I hope you gained something valuable from today's episode, and if you did, remember to share this episode with someone that you love. Follow me on socials at Nurse Daddies or Colton Lord 17, and be sure to follow nurse.org to stay informed with all of the hottest healthcare topics. Until next time, take care of yourself the way you take care of everyone else. Love ya.
Bye.
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