Latest / Becker’s Healthcare Podcast / Using AI and Connected Data to Improve Clinical Decision-Making and Continuity of Care with Pete D'Addio

Transcript

Using AI and Connected Data to Improve Clinical Decision-Making and Continuity of Care with Pete D'Addio · Becker’s Healthcare Podcast

• 0:00
  - What we wanna do with AI is help
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  - clinicians go from being reactive
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  - to proactive.
• 0:05
  - At Philips, we can recognize patterns in monitoring
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  - data across populations
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  - and apply those insights to specific patients.
• 0:14
  - Safe and responsible AI can support sharper insights,
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  - pave the way for faster diagnosis,
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  - and help streamline care.
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  - That can benefit clinicians, it can benefit health
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  - systems. And most importantly, it can benefit patients
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  - and their families.
• 0:33
  - Phillips.
• 0:34
  - This is Gracelyn Keller with Becker's Healthcare, and
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  - we are recording live at the eleventh annual
• 0:40
  - IT and revenue cycle conference.
• 0:42
  - Thank you so much for tuning in to
• 0:43
  - the Becker's Healthcare podcast series.
• 0:45
  - Joining me for today's discussion is Pete Daddeo,
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  - who is the chief technology officer and vice
• 0:51
  - president of technology at LCMC
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  - Health. So, Pete, thanks for being here, and
• 0:56
  - let's jump right into our conversation today. Okay.
• 0:59
  - So health systems are receiving a growing stream
• 1:01
  - of patient data from bedside monitoring, ambulatory devices,
• 1:05
  - and care delivered at home. So where is
• 1:07
  - that data creating actionable insights for clinicians, and
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  - where does it still create more work than
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  - insight?
• 1:14
  - So to me, what's important is where the
• 1:15
  - data is housed and where the data is
• 1:18
  - coming from and then the integration to where
• 1:20
  - the data can come from disparate or omnichannel
• 1:23
  - air locations
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  - and sort of bring it into a central
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  - location or have an integration between the two
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  - or three or four, how many ever, data
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  - points there are. So I think that helps
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  - create, actionable data that could be used for
• 1:37
  - either AI purposes and any kind of clinical
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  - purposes, of course.
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  - But I think the work that still needs
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  - to be done is to determining where all
• 1:44
  - those data points are and where all that
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  - data lives in either building in those integrations
• 1:50
  - or,
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  - bringing all that data into a central, whether
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  - it's a data lake or somewhere where that
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  - data could be used to make better clinical
• 1:58
  - decisions.
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  - A 100%.
• 2:00
  - And when clinicians are trying to reach a
• 2:02
  - diagnosis,
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  - they often must piece together information from radiology,
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  - cardiology, pathology, and all these other systems.
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  - So where does that fragmentation create the most
• 2:12
  - friction in your organization? And how do you
• 2:14
  - bring together data sources and address this fragmentation
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  - or close the gaps?
• 2:19
  - I think for our patients, it's where all
• 2:22
  - that data comes from. It's different health systems,
• 2:24
  - different EMRs,
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  - different clinics, and trying to piece all that
• 2:28
  - data together to make the best informed clinical
• 2:31
  - decisions.
• 2:32
  - However,
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  - as we have
• 2:34
  - a popular EMR,
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  - we... Hopefully, that can help us bring all
• 2:38
  - that data together already
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  - with information and data sharing that we can
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  - then take the different disciplines of pathology, cardiology,
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  - radiology,
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  - and have all that data in one place
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  - for our clinicians to be able
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  - to not just access the data, but to
• 2:54
  - be able to make decisions quicker, especially if
• 2:56
  - there are emerging cases for the patient.
• 2:59
  - And patients increasingly move among
• 3:04
  - clinical
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  - contact most often get lost during these transitions,
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  - and what would it take to give care
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  - teams a more continuous view of the patient?
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  - I think that's just the increase of the
• 3:14
  - continuum of care.
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  - It's always been once a patient's discharged
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  - that that's where the care stops. And then
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  - if there is an additional encounter
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  - after down the line, that's where we reengage
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  - with the patient. But with the continuum of
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  - care, it's continuing with health at home,
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  - and then it also comes to devices with
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  - so many different devices they have now with
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  - smartwatches,
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  - smartphones,
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  - smart blood pressure pumps,
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  - smart this, smart that. We can we can
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  - then now collect the data to be able
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  - to put all that data together to keep
• 3:46
  - that continuum of care.
• 3:48
  - We have to we have to balance between
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  - security and ease of use as well. So
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  - I think that continuum of care is super
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  - important
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  - to be able to keep, you know, the
• 3:58
  - patient encounters
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  - successful.
• 4:00
  - Certainly. And with so many AI use cases
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  - competing for attention, how do you distinguish a
• 4:06
  - compelling pilot from something ready to become part
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  - of everyday care, and what must be in
• 4:10
  - place to scale that responsibly?
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  - I think the first thing was always, how
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  - does it save money,
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  - And how can we make money off of
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  - it? And I think that's still quite important.
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  - However, I think we have to look at
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  - what the value that it provides now. Does
• 4:23
  - it save time? Does it offer additional capacity?
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  - You know, the... I think we're seeing cases
• 4:28
  - where we're seeing more, clinical and clinician satisfaction.
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  - We're... And we're also seeing more of a,
• 4:36
  - a quality encounter between a physician and a
• 4:39
  - patient to where we can use those AI
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  - tools so the physician can actually talk to
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  - the patient, not worry about taking notes as
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  - an example, especially with Ambient.
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  - So I think what we're seeing is is
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  - that it brings a value
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  - and looking to put a monetary value on
• 4:54
  - that,
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  - moving forward.
• 4:57
  - And as technology relationships move beyond one time
• 5:00
  - purchases, what should a partner remain accountable for
• 5:03
  - after go live to make the relationship genuinely
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  - valuable over time?
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  - I think the important thing for partners today
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  - is they're a true partner. You know, they're
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  - they're along the journey with us, not just
• 5:14
  - through the integration or implementation of a tool,
• 5:16
  - but also after and working through security and
• 5:19
  - working through updates and working through new
• 5:22
  - opportunities or options with tools and platforms
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  - that we invest. So they are there as
• 5:27
  - a partner and a part of our organization.
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  - And those are the partners that I think
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  - will stand out as we move along to
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  - say, we're not just here to sell you
• 5:35
  - things. We're here to be a part of
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  - it and see the value that it's creating
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  - for our health system.
• 5:42
  - And finally, as care increasingly moves beyond hospital
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  - walls, how are you using connected technologies and
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  - AI to identify patients who need earlier follow-up,
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  - support care coordination teams, and close the gaps
• 5:52
  - in post discharge care?
• 5:54
  - I think that's something that we're working on.
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  - I think we're identifying where those challenges are,
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  - and there are a variety of AI tools
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  - that can bring that. So I think we're
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  - working on the continuation of our AI journey
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  - to find those opportunities
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  - to where it makes those encounters with patients,
• 6:10
  - better, if you will. So I don't think
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  - we've gotten to that maturity level yet, but
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  - it's certainly something that's important for us to
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  - continue with that journey with the patient to
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  - use our a... AI tools,
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  - again, to, post discharge,
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  - in the continuum of care.
• 6:26
  - Well, thank you so much, Pete, for being
• 6:28
  - here and sharing your time and insights today.
• 6:30
  - And we also wanna thank our podcast sponsor,
• 6:32
  - Philips. You can tune in to more podcasts
• 6:34
  - from Becker's Healthcare by visiting our podcast page
• 6:37
  - at beckershospitalreview.com.
• 6:39
  - Thank you.