Latest / Becker’s Healthcare Podcast / Designing AI with Nurses to Reduce Burnout and Improve Care Delivery

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Designing AI with Nurses to Reduce Burnout and Improve Care Delivery · Becker’s Healthcare Podcast

• 0:00
  Welcome back to the Becker's Healthcare podcast. I'm
• 0:02
  Molly Gamble, Becker's, and we're recording this episode
• 0:04
  during National Nurses Week, a week dedicated to
• 0:06
  recognizing the invaluable contributions nurses make in health
• 0:10
  care and in our lives while also acknowledging
• 0:12
  the very real challenges they face every day.
• 0:15
  In light of that, we're having a real
• 0:16
  conversation today about what it looks like when
• 0:18
  nurses are the ones helping design AI and
• 0:21
  what it takes for that technology to be
• 0:22
  trusted at the bedside.
• 0:24
  I'm joined by two people leading that work.
• 0:26
  Jennifer Gaum Rushman is assistant vice president of
• 0:29
  digital health at Cincinnati Children's Hospital Medical Center,
• 0:32
  and Amy McCarthy is chief nursing officer at
• 0:34
  Hippocratic
• 0:35
  AI.
• 0:36
  Jen, Amy, welcome, and thank you for being
• 0:38
  here. Thank you, Molly. Thank you for having
• 0:40
  Thanks for having me.
• 0:42
  Jen, I'm gonna turn to you first. You
• 0:44
  recently collaborated with Hippocratic AI on their new
• 0:48
  nurse facing application, and we're gonna get to
• 0:50
  that. But first, I I wanted to look
• 0:52
  a little bit further upstream.
• 0:54
  From your seat at Cincinnati Children's. Why is
• 0:56
  it so important to bring innovation
• 0:58
  into nursing right now?
• 1:00
  What what are you seeing day to day,
• 1:02
  and how do you see AI fitting in?
• 1:05
  Yeah, Molly. I think that's such an important
• 1:06
  question because, you know, one of the things
• 1:08
  that we're seeing and I know that people
• 1:10
  are seeing across health care I mean, even
• 1:12
  before the pandemic,
• 1:13
  there was lots of
• 1:15
  concern about the,
• 1:17
  staffing and nurse availability
• 1:19
  and and and since that,
• 1:21
  time, you know, lots of folks have,
• 1:24
  have retired from the profession. They've given it
• 1:26
  their all. And so we see, you know,
• 1:28
  both, you know, sometimes a challenge with nursing
• 1:31
  staffing
• 1:32
  as well as a lot of young and
• 1:33
  new nurses in the field. And so when
• 1:35
  we think about
• 1:37
  innovating with them,
• 1:38
  you know, being able to provide them some
• 1:40
  tools so that they can operate at the
• 1:43
  top of their licensure, but also really thinking
• 1:46
  about how do they do what they
• 1:48
  have been passionate about and what they desire
• 1:50
  to do at the bedside, provide that personalized,
• 1:53
  very humanistic
• 1:54
  part of the care, and then how can
• 1:56
  we leverage some of these tools like AI
• 1:59
  to reduce that burden for them and enable
• 2:01
  them to really perform at that highest level,
• 2:05
  knowing that there there's a finite number of
• 2:07
  nurses that we're gonna be able to have
• 2:09
  at every patient's bedside, and we wanna make
• 2:11
  sure we give them the tools to do
• 2:12
  that job to the best of their ability.
• 2:15
  Mhmm.
• 2:16
  Amy, this is really the perfect handoff we
• 2:18
  just heard from Jen about some of the
• 2:20
  the effects of of the pandemic that are
• 2:21
  still lingering in hospitals and health systems among
• 2:24
  nursing teams.
• 2:25
  Amy, you and I, we met at Becker's
• 2:27
  annual meeting just a few weeks ago, and
• 2:30
  that's where this nurse co pilot from Hippocratic
• 2:32
  AI first came onto our radar.
• 2:35
  Flipped it out a little bit. Can you
• 2:36
  take us back to the beginning? Why did
• 2:37
  Hippocratic
• 2:38
  launch this product, and then how did you
• 2:40
  go about developing it?
• 2:42
  Yeah. Absolutely. It's a great question. So,
• 2:45
  you know, when we were thinking about our
• 2:47
  AI agents, traditionally,
• 2:48
  they have met patients where they are outside
• 2:51
  of the hospital space, but it was very
• 2:53
  important to us as we were designing to
• 2:55
  think about how can AI agents be a
• 2:58
  part of the entire care continuum.
• 3:00
  I have been a nurse for over fourteen
• 3:02
  years. I came directly from the inpatient space,
• 3:05
  and so that's an area that I'm really
• 3:06
  passionate about. I've seen firsthand,
• 3:09
  a lot of the the administrative tasks and
• 3:11
  just a cognitive overload that nurses are facing
• 3:14
  on a day to day basis. So it
• 3:15
  really was very much a passion project for
• 3:17
  me to truly sit down and think about
• 3:19
  how can AI agents be used by nurses?
• 3:21
  How can we start to use this to
• 3:23
  redesign their workflow? And that's where Nurse Copilot
• 3:26
  really came into be. We wanted it to
• 3:28
  be a Copilot,
• 3:30
  an augmentation tool to allow the nurse, as
• 3:32
  Jen mentioned, to really be able to be
• 3:35
  present, to be focused on the patient in
• 3:37
  front of them, and to not get caught
• 3:38
  up in the day to day of just
• 3:40
  administrative tasks. And so it was very important
• 3:43
  to me too, as someone who's worked in
• 3:45
  the clinical space who has had technology handed,
• 3:48
  to her that really didn't make sense in
• 3:50
  workflows a lot of times,
• 3:52
  to to sit down with nurses, to sit
• 3:54
  down with clinicians from the very beginning and
• 3:56
  to say, so here's the product that we're
• 3:58
  thinking about. Tell me, does this work? Does
• 4:01
  it not? How do we codesign this together?
• 4:04
  And, you know, the relationship with Cincinnati Children's
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  and several of our co development partners has
• 4:08
  been just a fantastic example of this, is
• 4:11
  sitting down and having my team of engineers
• 4:14
  and researchers sit down with the nursing
• 4:17
  team, with the clinicians at Cincinnati Children's and
• 4:19
  say, you know, here's here's how the workflow
• 4:22
  is today. Here's how we can use AI
• 4:24
  agents,
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  in the day to day to really improve
• 4:27
  the workflow to give nurses more of a
• 4:29
  chance to be present,
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  and and think about how this can help
• 4:33
  them with tasks around admissions, discharge preparation, patient
• 4:36
  education, even family education.
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  And it's been it's been really neat to
• 4:40
  see the results of that and to see
• 4:42
  how proud and excited the nursing team is
• 4:45
  of the work that they've done, and they
• 4:46
  truly become champions of this.
• 4:49
  Mhmm.
• 4:49
  Amy, you just touched on what can so
• 4:51
  often happen where the technology the people developing
• 4:54
  the technology underestimate
• 4:55
  nurses' workflows
• 4:57
  and think something that's gonna be easy to
• 4:58
  get into the mix is actually, to them,
• 5:01
  one more thing to either click or document
• 5:03
  or another burden to account for. It sounds
• 5:05
  like Hippocratic AI took the exact opposite approach.
• 5:09
  Jan, I'm gonna turn back to you here.
• 5:11
  You know, Cincinnati Children's is a special place.
• 5:14
  You you obviously have pediatric and children patients
• 5:16
  and then also, like Amy just mentioned, the
• 5:19
  families.
• 5:20
  Let's talk a little bit about the safety
• 5:22
  and empathy
• 5:23
  values of technology,
• 5:25
  how Nurse Copilot was built.
• 5:28
  If you can help us appreciate this, Jen,
• 5:29
  from the clinical side. These two things in
• 5:32
  nursing, empathy and safety are are paramount,
• 5:35
  especially in pediatrics. What what does it actually
• 5:38
  take for a nurse to trust AI enough
• 5:41
  when it comes to safety and empathy to
• 5:43
  really begin to integrate into their their care
• 5:46
  in front of a patient?
• 5:48
  Yeah. Molly, you're you're absolutely right. Right? You
• 5:50
  know, safety is paramount. We we that's sort
• 5:53
  of always first in in our mind.
• 5:55
  And it was it's been really a great
• 5:58
  journey with our frontline nursing and the co
• 6:00
  development of this. I feel like it was
• 6:02
  really a turning point moment when they could
• 6:04
  start to hear the AI agent.
• 6:07
  And then what they were able to do
• 6:09
  is kind of record their own conversations about
• 6:11
  how would we have this conversation about sort
• 6:14
  of hospital basic education, etcetera,
• 6:16
  and then hear that come to life,
• 6:19
  in a way that they felt felt like
• 6:20
  it was not only very safe.
• 6:23
  We could make changes, you know, the
• 6:25
  Hippocratic ai and others wanted their feedback, wanted
• 6:28
  them to say, I don't like how this
• 6:30
  is being said, or I don't like how
• 6:31
  this is being done, but also that it
• 6:33
  felt very humanistic. We had one patient during
• 6:36
  our first week of go live that the
• 6:38
  the parent had the it on speaker phone.
• 6:40
  And at the end of the call, the
• 6:41
  patient was like, I love you.
• 6:43
  And, you know, the AI kind of said,
• 6:45
  well, I'm not I'm a I'm an AI.
• 6:46
  I'm not a person, but it was, it
• 6:48
  it is a very humanistic experience. I think,
• 6:51
  really, for our nurses, they had to hear
• 6:53
  that, and they had to be able to
• 6:54
  hear how their feedback could be incorporated,
• 6:56
  you know, almost immediately. And that,
• 6:59
  really builds that trust. And without them trusting
• 7:01
  the tool, they're not gonna talk about it
• 7:03
  with patients and families in a way that
• 7:05
  our patients and families trust the tool. And
• 7:07
  so that mutual,
• 7:09
  trust is really important because then when the
• 7:10
  nurses are having those conversations,
• 7:12
  they're doing that in a way that the
• 7:14
  family says, okay. I get it. She trusts
• 7:16
  this tool or he trusts this tool, so
• 7:18
  I'm gonna take that call. I'm gonna engage.
• 7:20
  And so I think it's been really important,
• 7:22
  and paramount to the design. I love that
• 7:25
  detail of of signing off with I love
• 7:27
  you, and the agent correcting or, you know,
• 7:30
  reminding what it actually is. But but, Jen,
• 7:32
  I mean, what you just described, that is
• 7:34
  something that health systems nurses and digital leaders
• 7:38
  probably don't get asked enough to weigh in
• 7:40
  on when it comes to feedback.
• 7:42
  What changes would you like to see made?
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  More broadly, what was it like to be
• 7:47
  on the receiving end of those invitations to
• 7:49
  weigh in? You're not just being treated like
• 7:52
  a customer or end user, but you're actually
• 7:53
  sitting at the table with your nursing leaders
• 7:56
  and nurses
• 7:57
  while the product is being designed.
• 8:00
  Yeah. I mean, I think that's really been
• 8:02
  part of what's been game changing about this
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  for us. Not only
• 8:06
  sitting at the table, we, you know, we
• 8:07
  had these sessions with frontline nurses where they
• 8:09
  were talking about real problems. I mean, one
• 8:11
  of the examples and one of the reasons
• 8:13
  we have a a call today for for
• 8:15
  just to check-in was that they were talking
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  about families
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  where English isn't their first language and the
• 8:20
  challenge of always having an interpreter for for
• 8:23
  questions like where can mom and dad get
• 8:25
  a meal,
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  you know, and those types of things. And
• 8:27
  so the the nurses,
• 8:29
  were able to kind of bring to life
• 8:32
  what are the real challenges that I have
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  that I worry about that keep me up
• 8:35
  at night with my patients and families.
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  And then
• 8:39
  being able to to see a tool designed
• 8:41
  to kind of meet those needs was was,
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  I think, really
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  important,
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  for them and and for them to feel
• 8:48
  like,
• 8:48
  again, it wasn't something that was being done
• 8:50
  to them, but they were being being involved
• 8:53
  in the design of it and being able
• 8:55
  to make changes to it. Right? It wasn't
• 8:57
  just lip service to the design of it.
• 8:59
  It was really, what are we gonna do?
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  What are we gonna talk about? How all
• 9:02
  of that is gonna happen? What was,
• 9:04
  was really influenced by the nurses. It also
• 9:06
  really helps in adoption. Right? As a digital
• 9:09
  health professional,
• 9:11
  that's always the the the barrier. Right? We
• 9:13
  can build it, but will they come? And
• 9:15
  so, you know, I really am hopeful as
• 9:17
  we continue to roll this out. We're seeing,
• 9:19
  you know, positive trends with adoption from those
• 9:22
  nurses because they feel like it's theirs. They
• 9:23
  they developed it.
• 9:25
  Mhmm. Mhmm. Amy, we're talking about the the
• 9:28
  design of Nurse Copilot and the stakeholders part
• 9:31
  in that as Jen just helped us better
• 9:32
  understand. Let's go a little bit more under
• 9:35
  the hood if we can for a minute.
• 9:36
  We we understand why Nurse Nurse Copilot exists,
• 9:39
  what it's like for nurses to use it.
• 9:41
  Can you, Amy, talk more about the engine
• 9:43
  behind it? How does Hippocratic AI ensure safety
• 9:47
  in its technology?
• 9:48
  What are the the systems and the standards
• 9:50
  behind a product like this?
• 9:52
  Yeah. Absolutely.
• 9:54
  It's a it's a great question. You know,
• 9:55
  we recently
• 9:56
  released our our latest model, Polaris five point
• 9:59
  o, and it's a continuation
• 10:01
  of our Constellation model and our commitment to
• 10:03
  safety. We knew as a company that if
• 10:06
  we were going to have AI agents that
• 10:08
  we're going to be patient facing,
• 10:09
  that they needed to be held to the
• 10:11
  utmost standard,
• 10:13
  you know, just like myself as a nurse.
• 10:15
  Right?
• 10:17
  I I have a very high commitment to
• 10:19
  safety.
• 10:20
  My license is dependent on that. And so,
• 10:22
  you know, we do a
• 10:25
  very rigorous amount of testing
• 10:27
  when it comes to these AI agents, and
• 10:29
  and the continuation of our our benchmarks and
• 10:32
  and our, and and our new model are
• 10:34
  really showcasing that. But to kinda walk you
• 10:36
  through our processes,
• 10:38
  every AI agent when we create that, we
• 10:40
  do dual testing. We have our our partners,
• 10:43
  just like, here with Nurse Copilot.
• 10:46
  Cincinnati Children's and the nurses were a very
• 10:48
  big part of testing the AI agent. We
• 10:50
  also do a a huge amount of testing
• 10:52
  on our end. I have a team of
• 10:53
  nurses,
• 10:54
  who work for Hippocratic who do,
• 10:56
  anywhere from 200 to 500 test calls of
• 10:59
  the agent before it goes live. I have
• 11:01
  a team of nurses who even after the
• 11:04
  agent is having patient facing conversations, they are
• 11:07
  reviewing
• 11:08
  the first 1,000 calls, looking for things like
• 11:11
  clinical and technical errors, and those things are
• 11:13
  reviewed every day. And even after those first
• 11:16
  1,000 calls,
• 11:18
  we continue to monitor all of our use
• 11:20
  cases across the board because we know that
• 11:22
  there's no room for error. There's no room
• 11:24
  for regression of this model. And so we
• 11:26
  constantly, as a clinical team, have to keep
• 11:28
  our eye,
• 11:29
  on these conversations,
• 11:31
  ensuring that they are having safely, that they
• 11:33
  are are achieving the goals that our partners
• 11:35
  are looking for,
• 11:37
  and and that we're continuing to promote this
• 11:39
  culture of excellence. I mean, the model itself
• 11:41
  has been tested by over 7,500
• 11:43
  nurses across the country who are doing continuous
• 11:46
  calls. And you might ask, you know, why
• 11:48
  why nurses? Why are nurses being asked to
• 11:50
  do this? Well, I I will tell you
• 11:52
  as as a nurse myself, we know so
• 11:54
  many of the edge cases. And so I
• 11:56
  often joke with my nursing colleagues,
• 11:58
  try to try to break the system. Try
• 12:00
  to throw all of those edge cases out
• 12:02
  there to make sure that at the end
• 12:03
  of the day, no matter what a patient
• 12:05
  says or throws out at the agent,
• 12:08
  that we are prepared to handle that conversation
• 12:10
  in a safe and compassionate manner.
• 12:13
  And, you know, you see the results of
• 12:14
  that today. In our model, we have had
• 12:17
  no serious safety events. We continue to have
• 12:20
  a 99.9,
• 12:22
  you know, just safety,
• 12:24
  rating,
• 12:25
  across the board. And so, it's it's been
• 12:27
  a really amazing opportunity to collaborate with nurses
• 12:29
  at Cincinnati Children's, but also across the country
• 12:32
  to ensure that this model is safe for
• 12:33
  patient care.
• 12:35
  I I love the leadership and the rigor
• 12:37
  and the commitment to safety behind the challenge
• 12:39
  of to 7,500
• 12:41
  nurses to to break the model, Amy. I
• 12:43
  I think that just that says a lot
• 12:44
  about how you approach this in in development.
• 12:48
  Let's in the spirit of National Nurses Week,
• 12:50
  you both work with nurses in in different
• 12:53
  lanes, if you will. You're you're close to
• 12:55
  this work, and I'm so appreciative of the
• 12:57
  chance to get closer to it through this
• 12:58
  conversation with you. Let's close out with a
• 13:01
  forward looking question from both of you as
• 13:03
  if we sit here
• 13:04
  with the technology available to us today. If
• 13:06
  you will look out the next five, ten
• 13:08
  years even, what do you see the future
• 13:10
  of nursing looking like? What should our listeners
• 13:13
  be paying attention to when it comes to
• 13:15
  AI innovation?
• 13:16
  Jenna, I'll turn to you first here.
• 13:18
  Sure. It's funny. I was just in a
• 13:20
  meeting this morning where, our CEO said if
• 13:22
  somebody tries to tell us what it's gonna
• 13:23
  look like in five years, they they're probably
• 13:25
  making it up. So I will just make
• 13:27
  it up. But, you know, for me, I
• 13:28
  think, when we think about,
• 13:30
  health care and the future of nursing, especially
• 13:33
  with AI, it's it's gonna be getting past
• 13:35
  the trust hurdle. Right?
• 13:37
  For patients and families, we had one of
• 13:39
  our families that's kind of peering in as
• 13:41
  we were,
• 13:42
  filming some introductory videos and things, and what
• 13:45
  are you guys doing in there? And I
• 13:46
  don't know if I wanna talk to AI.
• 13:48
  And then when we explained it to him,
• 13:50
  he's down the hall five minutes later telling
• 13:52
  the nurses, like, oh, they're trying to help
• 13:53
  you out. They're making it easier, you know,
• 13:55
  for me to ask questions and not bother
• 13:57
  you all the time. And so I really
• 13:59
  think when we think about that nursing profession
• 14:02
  That is a finite resource and it's so
• 14:04
  invaluable
• 14:05
  to our patients and families, but we have
• 14:08
  to be able to
• 14:09
  Remove some of the tasks that are constantly
• 14:13
  layered
• 14:14
  on to our nurses,
• 14:16
  and allow
• 14:17
  not only for them to have more time
• 14:19
  and space,
• 14:21
  to do, you know, the higher levels nursing
• 14:23
  skill work, But, also, I think it's a
• 14:25
  better patient and family experience
• 14:27
  at times where we think about, I can
• 14:29
  serve up information. Maybe it's educational content. Maybe
• 14:33
  it's, you know, reminders. Maybe it's answering a
• 14:35
  question that they've already answered for me three
• 14:37
  times, but on my schedule and my timeline.
• 14:40
  And so I think that the future of
• 14:42
  nursing is gonna look very different with AI,
• 14:44
  but we're gonna have to continue to involve
• 14:46
  the frontline team and our patients and families
• 14:49
  in that design where that trust factor is
• 14:51
  really just gonna impact adoption. But, I mean,
• 14:53
  I think in in lots of ways, it's
• 14:55
  gonna enable us to take better care of
• 14:58
  our patients and our families
• 14:59
  and allow our nurses to leave at the
• 15:01
  end of their shift. I know Amy says
• 15:03
  that sometimes I'm always worried about what I
• 15:04
  didn't do, but feeling like I did it
• 15:06
  and I have support,
• 15:08
  if my family has additional questions and concerns
• 15:11
  after I'm gone. Right? And so I think
• 15:13
  that's how we're really gonna see AI making
• 15:16
  an impact for nurses. We need to keep
• 15:18
  the human in the loop. They need to
• 15:20
  bring that expertise,
• 15:21
  but we can help to make sure they
• 15:22
  don't forget things. They don't you know, we
• 15:24
  can reinforce information. I think all of that's
• 15:26
  gonna be ways that we're leveraging AI in
• 15:28
  the nursing space.
• 15:30
  Mhmm. Thank you, John. And I don't disagree
• 15:33
  with the five year,
• 15:34
  remark. So, Amy, same question to you. Only
• 15:37
  this time, feel free to edit the time
• 15:39
  frame to whatever you're comfortable speaking to. We're
• 15:41
  talking about the future of nursing and how
• 15:43
  you see AI innovation
• 15:45
  informing that, changing that, and influencing it.
• 15:49
  Yeah. It's you know, I think it's an
• 15:50
  incredible time in nursing. It's a hard time
• 15:53
  nursing. You know, nurses will often say, you
• 15:55
  know, they they don't necessarily enjoy change. But
• 15:58
  when I'm speaking to nurses across the country,
• 16:00
  you know, I'm very quick to say AI
• 16:01
  is going to move faster than every anything
• 16:03
  we've ever seen before. And that's an important
• 16:06
  thing to know. How do we lean into
• 16:07
  this conversation? How do we make sure that
• 16:09
  we're at the table,
• 16:11
  you know, as we're kind of redesigning
• 16:13
  what nursing and health care looks like? And
• 16:15
  that's what I'm most excited about, to see.
• 16:18
  I do think, to Jen's point, it's hard
• 16:20
  to think about what this looks like in
• 16:22
  five to ten years. But what we do
• 16:24
  know will be constant is that AI is
• 16:26
  going to be a part of our workflows
• 16:29
  in the health care space and and even
• 16:30
  more so in the inpatient space, which traditionally
• 16:33
  has been kind of, set aside. There there
• 16:36
  hasn't necessarily been a lot of technological advancements
• 16:39
  in the inpatient space because it is hard
• 16:41
  to solve for, but it's a very necessary
• 16:43
  problem to solve for because I will tell
• 16:45
  you we are seeing nurses leave the profession
• 16:47
  in droves due to burnout, due to moral
• 16:50
  injury. And so how do we start to
• 16:52
  create an environment that nurses want to be
• 16:54
  a part of? I like to say, you
• 16:56
  know, how do we bring joy back to
• 16:58
  the profession? How do we create an environment
• 16:59
  where they can thrive in? And so, you
• 17:02
  know, with with products like ours and and
• 17:04
  even just exploring the entire AI space, I
• 17:06
  think we're in this the midst of a
• 17:08
  kind of a a a renaissance here,
• 17:11
  figuring out what the smart room of the
• 17:12
  future will look like. You know, I see
• 17:15
  the nurse truly as the leader in a
• 17:17
  lot of just the day to day care.
• 17:19
  They're they're typically kind of the air traffic
• 17:21
  controller, letting everyone know what's going on with
• 17:23
  the patient, what resources are needed. My hope
• 17:26
  is is that, you know, over the next
• 17:27
  couple years, we equip nurses with the tools
• 17:30
  needed to do this job more effectively so
• 17:32
  that they don't leave their twelve hour shifts
• 17:34
  thinking, man, I did not get to everything
• 17:36
  I needed to get to today. I just
• 17:38
  I didn't feel like I helped my patients
• 17:40
  enough. That is,
• 17:41
  you know, that's that's as someone who's felt
• 17:43
  that experience,
• 17:45
  it's it's very demoralizing. And so I hope
• 17:48
  that that we can use this technology and
• 17:50
  really codesign alongside
• 17:51
  our our bedside nurses to say, how do
• 17:54
  we use this in a way that is
• 17:56
  just very impactful, very intentional, makes sense in
• 17:59
  workflow. I think that's something that's so important.
• 18:01
  It makes sense in the workflow. It makes
• 18:02
  sense in in what the nurse is doing
• 18:05
  and truly designed for a space that, one,
• 18:07
  is gonna deliver better patient care, but also
• 18:10
  allow nurses to truly feel like they're they're
• 18:12
  able to sit with their patients. They're able
• 18:13
  to have this experience, build that rapport, and
• 18:17
  truly be able to deliver the patient experience
• 18:19
  we all want to at the end of
• 18:20
  the day.
• 18:22
  So well said. Jen, Amy, I just wanna
• 18:24
  thank you both. This was exactly the conversation
• 18:27
  I had hoped for during nurses' week, not
• 18:29
  just celebrating nurses, but listening to them, understanding
• 18:32
  them, and and really building for what they
• 18:34
  need.
• 18:35
  To every nurse listening, thank you. We see
• 18:37
  you this week and every other week. So
• 18:39
  thank you very much, and happy national nurses
• 18:41
  week to you. To our listeners, to learn
• 18:43
  more about Cincinnati Children's Hippocratic AI or Nurse
• 18:47
  Copilot, please check out the show notes. And
• 18:49
  as always, you can tune in to more
• 18:50
  podcasts from Becker's by visiting our podcast page
• 18:54
  at beckershospitalreview.com.
• 18:56
  Thanks for listening.