Latest / Becker’s Healthcare Digital Health + Health IT / Leveraging AI, Data Integration, and IT Support for Better Outcomes in Healthcare

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Leveraging AI, Data Integration, and IT Support for Better Outcomes in Healthcare · 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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  patients with greater precision, speed, and confidence across
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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 currently joined by Matt Sullivan who is
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  the chief medical information officer at Advocate Health.
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  Matt, thanks for joining me this morning. Would
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  love to have you start off by telling
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  us a little bit more about yourself and
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  your background.
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  Great. Thanks for having me. My name is
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  Matt Sullivan. I'm an emergency physician, by training
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  and now the chief medical information officer at
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  Advocate Health. I'm part of a large team
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  of CMIOs that really work together to make
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  our health care information
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  really accessible to our docs and and to
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  drive technology
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  to our entire teams. I've been at the
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  organization
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  for 28 years,
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  and I'm really excited about what's in front
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  of us. As you know, Advocate Health is
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  a combination of Advocate Aurora and Atrium Health.
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  Over the last 2 to 3 years, we've
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  completed our merger. I think we're now the
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  2nd or third largest health care organization
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  in the nation, and,
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  that actually provides a very interesting
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  set of
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  circumstances to deal with as a large scale
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  health care organization.
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  Wonderful. Well, thanks for taking the time to
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  be here. And I'd love to start our
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  conversation today with AI adoption.
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  So this is exploding in health care right
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  now. In your view, what's the most significant
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  or promising application of this? And how is
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  this informing your organization's innovation strategy?
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  I think AI has been a buzzword now
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  for the last 2 years, and we've all
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  been going to conferences and talking about it.
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  But the real issue is
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  what is it actually doing? And so I
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  think the question is really apropos.
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  I think right now in our environment, large
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  language models are probably the number one thing
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  where we're seeing some differentiation.
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  We're seeing people have more efficiency in their
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  jobs,
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  more satisfaction in the work that they're doing
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  in medicine,
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  and
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  I think that that is going to
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  really define where we
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  put our influence
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  in the coming years.
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  Unfortunately, it's very costly, so we have to
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  really think about
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  where that
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  money is best spent in order to get
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  the most
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  bang for the buck, if you will.
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  And switching gears a little bit to data.
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  Currently, health care leaders are managing greater volumes
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  of data and more devices across a growing
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  number of care settings.
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  This is a complex environment, so I'd love
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  to hear what clinical data integration tools or
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  practices you're seeing drive improvements in patient outcomes.
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  And can you share a specific example of
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  this?
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  It's very difficult,
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  given the
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  the the basis of this question. We really
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  do have an incredible amount of data that's
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  at our fingertips.
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  The question you've asked though is what what
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  has it done to change outcomes? And that
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  one is difficult.
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  I think part of the things that we
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  can really lean on
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  is our screening.
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  If we've done
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  our job with screening for cancer and
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  some of the things that are pretty bread
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  and butter for medicine, then I think we
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  can actually begin to change outcomes in health
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  care.
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  And that's gonna require data coming in and
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  making sure that we have that aggregated in
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  a way that
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  our teams can see that, our health care
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  teams.
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  That that's everything from physicians to care managers,
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  nurses. The the entire group really has to
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  focus on that in order to make sure
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  that
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  they execute correctly.
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  And with
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  the adoption of AI, the greater volumes of
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  data, our IT teams are becoming more burdened
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  and more critical.
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  So I'd love to hear
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  how you think health care organizations can better
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  support both the IT teams and our clinical
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  teams as we carry out innovation efforts, and
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  what are some common pitfalls that you've seen?
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  Well, I think that I'm very fortunate to
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  be part of a very large health care
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  organization
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  that is very supportive
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  of IT and IT and the clinical applications.
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  So
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  I think one of the common pitfalls is
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  we can't have everything. We have to actually
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  sit down and do a rigorous evaluation of
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  what really matters for health care, what really
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  matters for patient outcomes,
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  and and be willing to say no to
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  some of the other things that, while while
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  flashy and while while fun,
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  may not actually drive outcomes and may not
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  give us the improvements that we're looking for.
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  And as we wrap up our conversation,
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  I'd love to know what your top piece
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  of advice for health care leaders is as
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  they prepare for further advancements in technology and
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  greater demands for care.
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  I think we can
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  anticipate
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  more and more companies coming to us with
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  more solutions. And so we'll
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  my one piece of advice that I try
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  to give to myself all the time is,
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  is this gonna make a difference? How can
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  we study whether this makes a difference? And
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  how do we evaluate
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  this new piece of technology with the rigor
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  that's required to take better care of patients?
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  Well, Matt, thank you so much for joining
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  me today on the Becker's Healthcare Podcast. Again,
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  we're live at the 9th Annual Health IT
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  Digital Health and RCM Conference. Thanks for having
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  me.