Latest / Becker’s Healthcare Digital Health + Health IT / Lisa Stephenson, Chief Nursing Information Officer at Houston Methodist

Transcript

Lisa Stephenson, Chief Nursing Information Officer at Houston Methodist · Becker’s Healthcare Digital Health + Health IT

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  Philips is a health tech leader focused on
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  innovation that improves the health and well-being of
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  people. Our health care technology and informatics solutions
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  help care teams diagnose, treat, and manage more
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  the care journey. With Philips, clinicians are empowered
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  with streamlined insights in the moments that matter
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  for every patient. Better care for more people.
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  Philips.
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  This is Gracelyn Keller with the Becker's Healthcare
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  Podcast, and we are live at the 9th
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  annual Health IT Digital Health and RCM conference.
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  I'm joined right now by Lisa Stevenson, who
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  is the chief nursing information officer at Houston
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  Methodist.
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  Thanks so much for joining me today, Lisa.
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  I would love to get started by having
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  you introduce yourself and your role a little
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  bit further. Sure. Thanks for having me. As
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  you said, I'm the chief nursing information officer
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  for Houston Methodist.
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  I have been in informatics
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  over 13 years now, nurse by background, of
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  course, for over 20 years.
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  Houston Methodist is a, academic medical center. We
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  have 8 hospitals as well as a physician
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  organization
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  with primary and specialty care practices,
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  serving the greater Houston area.
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  Well, thank you for taking the time to
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  be here. And I would love to start
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  our conversation today with AI adoption. It's a
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  total buzzword right now in health care,
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  and it's exploding.
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  So in your view, what is the most
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  significant or promising application of AI right now,
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  and how is this informing your organization's innovation
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  strategy?
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  Yeah. AI is huge. I think what's interesting
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  is that there's been some form of AI
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  for actually several years.
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  But with chat gpt and generative AI, it's
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  gotten a lot of attention,
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  recently. So I think I'm excited as far
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  as right now. You know, we already had
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  things,
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  like predictive analytics,
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  in our EHR, helping
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  with clinical decision support for our practitioners.
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  And I'm excited that the, with the growth
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  of the large language models, we'll be able
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  to look at besides just discrete data. But,
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  you know, note notes and narratives to be
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  able to pull in more data to make
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  those models even richer than they are. And
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  then, of course, being able to also use
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  these tools.
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  We are doing some work with different models
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  for summarization of the chart. You've got a
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  lot of information
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  in the chart right now, so it's hard
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  for clinicians to always find everything. It takes
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  time to review notes, to review data points.
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  So having those summary
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  summarizations
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  being brought forward,
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  fits in an easy easily digestible format for
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  clinicians really helps to save time for them.
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  One thing in particular we're doing for nursing
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  is a end of shift care plan note,
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  an AI model
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  that will help look at not only the
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  goals and interventions that nurses have,
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  assigned, but within their flow sheet documentation, bring
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  that forward so that they have an actual
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  summary of the patients, how they've done for
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  the shift, as well as their progression on
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  the goals in a more usable format,
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  that it can really give a a nice
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  snapshot of how the patient's doing.
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  So and then there's obviously
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  continual other applications that we're looking into,
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  with Ambient Voice and others, with AI. But
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  I think those right now are are big.
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  But to consider all these applications, we've really
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  done a lot as far as putting some
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  governance in place and making sure that we're
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  reviewing all the new models and and,
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  practices that come forward with AI,
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  and and making sure that especially when it's
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  within clinical practice that we are putting that
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  human in the loop. And so as as
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  I
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  gave an example with the care plan note,
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  that's something that will be generated. Nurses need
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  to review. They can edit and then actually
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  put into the chart.
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  And searching gears just a little bit to
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  data.
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  Currently, health care leaders are managing greater volumes
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  of data and more devices across a number
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  of care settings and populations.
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  And this is becoming a very complex environment.
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  So
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  what clinical data integrations or tools
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  are you seeing drive improvements in patient outcomes?
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  And can you share an ex a specific
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  example of this?
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  Yeah. It is becoming complex. And that's one
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  of the things, I think, informatics, we we
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  really emphasize is that whenever you're implementing new
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  software applications
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  or devices, it really needs to be something
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  that's within the clinician's workflow to be useful
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  and to be fully utilized.
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  So,
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  you know, really drive a lot of, especially
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  on the software side, integration into our main
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  EHR so that that's where they get their
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  data because that's where the clinicians really live.
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  So they get all their information in one
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  place and then obviously input their information in
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  one place. And it makes sure that we're
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  having
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  a standardized format that all clinicians can use
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  as well, to make sure we're not missing
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  any critical information in the care of the
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  patient.
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  We're also looking on the device side. Right?
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  Really standardizing,
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  our clinical
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  communications, for example. So we've got iPhones,
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  that we've rolled out and really looking for
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  that mobile device to be the communication. So
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  the voice discussion, the secure messaging, you have
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  access to the EHR. You can put in
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  documentation. You can review documentation.
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  And also then that alert management as well
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  on the phone.
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  So getting alarms and and notifications that way
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  to, again, just centralize,
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  then and
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  minimize the number of tools that clinicians are
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  using, but have that especially for, like, nurses
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  and physicians, having the tool that's mobile that
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  can go with them,
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  so that they can get, information
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  more quickly,
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  and streamline those processes. And, again, by having
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  a standardized communication
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  tool,
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  being able to improve the care coordination of
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  the patient.
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  And as we're discussing
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  greater volumes of data and integrating new technologies,
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  AI, all of those things, the burden on
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  our IT teams
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  becomes a lot more significant.
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  So I would love to hear how you
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  think healthcare organizations can better support both our
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  clinical teams and our IT teams as they
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  carry out innovation efforts? And what are some
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  of the common pitfalls that you've seen?
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  Yeah. So I think, really,
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  it's important that you instead of
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  implementing innovation for innovation's sake, really making sure
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  that it may it ties into solving a
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  problem that you're having, as well as, again,
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  fitting into the workflows of the clinicians.
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  So it really needs to be a partnership,
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  between operations and IT,
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  to really maximize the use of any innovation.
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  And then there has to be education,
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  especially for the clinicians on not only how
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  to use all this new technology that's coming
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  out, but how it will benefit them.
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  And making sure they understand so there's no
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  anxiety and fear over that unknown, especially as
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  you're getting things like with AI and, ambient
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  sensors and cameras. It it's really important to
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  make sure that they understand what it can
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  do and what it can't do. And this
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  also includes educating our patients.
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  So really working to make sure that the
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  the staff can also speak to the patients
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  on how we're using these tools and how
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  they will benefit them.
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  And then as we wrap up our conversation
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  today, I'd love to hear your top piece
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  of advice for health care leaders as they
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  prepare for further advancements in technology and greater
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  demands for care.
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  Yeah. I think,
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  again, it's important to certainly embrace the technology
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  that's out there. I think we're in an
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  exciting time in health care where we can
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  finally take advantage of a lot of these,
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  new tools that are available.
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  But I think it's also an opportunity for
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  us to look at how we provide care.
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  Health care and the way we deliver it
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  hasn't changed really in decades foundationally.
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  So introducing new technologies, for example, when we're
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  introducing this,
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  AI model to do a end of shift
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  care plan note, it's really having us question,
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  how do we do care plans? What is
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  their usefulness to begin with? How do we
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  fix up front and streamline the entire process
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  and make something very useful,
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  and that clinicians can find,
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  value out of?
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  Well, Lisa, thanks so much for taking the
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  time to join me today on the Becker's
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  Healthcare Podcast. Again, we're recording live at the
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  9th annual health IT, digital health, and RCM
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  conference.
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  Thank you. Thanks for having me.