Latest / Becker’s Healthcare Podcast / Balancing AI Innovation With Clinical Judgment in Healthcare with Dr. Maulik Purohit

Transcript

Balancing AI Innovation With Clinical Judgment in Healthcare with Dr. Maulik Purohit · Becker’s Healthcare Podcast

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  - Every health system executive right now is being
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  - asked to do something that has no useful
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  - precedent,
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  - make durable technology decisions in an environment that
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  - looks meaningfully different every six months.
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  - The pace isn't slowing,
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  - the vendor landscape isn't getting simpler, and the
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  - cost of missteps keeps rising.
• 0:19
  - Becker's eleventh annual IT and Revenue Cycle Conference,
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  - The Future of AI and Digital Health, exists
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  - for exactly this challenge.
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  - Here, you'll find more than 2,500 executive level
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  - attendees,
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  - 600 plus speakers, and four days of sessions
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  - built around the questions leaders are actually wrestling
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  - with.
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  - How to scale AI responsibly,
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  - how to protect increasingly complex systems,
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  - how to wring more performance out of the
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  - revenue cycle, and how to make tech investments
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  - that hold up over time.
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  - Join us September fourteenth through the seventeenth at
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  - the Hilton Chicago.
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  - You can register on our events page at
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  - beckershospitalreview.com
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  - by clicking on the events tab in the
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  - upper right.
• 1:00
  - Hello, and welcome to the Becker's Healthcare podcast.
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  - My name is Chanel Banger, and today I'm
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  - excited to speak with regular guest, doctor Molok
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  - Burrahed,
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  - chief health innovation officer at DatasX
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  - Digital Health Labs, who joins the podcast regularly
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  - to share insights into some digital health trends
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  - that he's keeping in. Doctor Burrahed, thank you
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  - as always for joining me today. Could you
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  - get us started out by giving a brief
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  - introduction
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  - for, listeners that may not be acquainted with
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  - you yet? Hey. Thanks, Chanel. And always, honor
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  - and pleasure to be on on the podcast.
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  - And, yes, sir certainly background on me. I'm
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  - a physician by background.
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  - My specialty is in brain injury and neurotrauma,
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  - and that's actually been a good connector between
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  - my digital health side as well as my
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  - clinical side. And I'm still clinically active, seeing
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  - patients, daily. And then my background on the
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  - administrative side is, as you said, a chief
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  - innovation officer on the Dactosex side, but also,
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  - medical director of innovation
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  - on the health system side. And so I
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  - have a unique perspective because I straddle both
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  - the health system and delivery of care
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  - with the creation and researching of care from
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  - the doctor's ex side. And so I've been,
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  - blessed of the perspective of both sides in
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  - this role.
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  - Perfect. Perfect. Thank you so much for that
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  - introduction. And now,
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  - to get in the meat of the podcast
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  - a bit, what are you seeing right now
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  - in digital health, and what what kind of
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  - are you keeping your eye on right now?
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  - Yeah. Thanks, Sean. Great question.
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  - So I have a little bit of, I
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  - guess, a little bit twist on what is
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  - out there.
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  - One is, I think, I'm one excited by
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  - the immense increase in digital health technology that's
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  - out there and the quality of that technology
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  - that we're seeing
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  - with, improvements in the EMR space, and usability,
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  - improvements in the AI built within the EMR,
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  - AI tools that we all use. I won't
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  - name the companies, but I think we all
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  - know the most common ones out there.
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  - And and so there's a lot of
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  - increased prevalence of the use of these technologies
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  - in everyday life.
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  - And but one of the things that I
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  - noticed is,
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  - you know, we have this concept of human
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  - in the middle. But even if we have
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  - AI, we'll have a human in the middle
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  - to check things to make sure that we
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  - ensure
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  - things go well.
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  - But that, I think, has been one of
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  - the things that we need to really look
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  - at and understand what human in the middle
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  - means.
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  - Because although every company and everyone in their
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  - protocols will say we have a human in
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  - the middle,
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  - the question is, how do we use that
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  - human and do we respect the human when
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  - there's a disagreement between the AI and the
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  - human? And I'll give you an example that
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  - happens in the health care space. I'm not
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  - gonna name any systems, but where,
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  - a patient may come in, let's say, to
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  - the emergency room, a physician evaluates them and
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  - decides they need something. Now from an AI
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  - perspective or an algorithm perspective or protocol perspective
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  - that may be put into place in the
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  - EMR,
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  - that might be different recommendation. Like, they may
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  - may or may not recommend an e, an
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  - X-ray.
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  - Physician might recommend, hey. We need to have
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  - a CT scan,
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  - whereas the AI says no CT scan is
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  - indicated.
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  - Now in these areas, a lot of times,
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  - we should trust physicians. Say, hey. If we
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  - need this, additional study or if we need
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  - this test, then we should,
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  - allow them to have that individual freedom to
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  - decide because
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  - the patient is individual.
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  - And they don't fit a database. They don't
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  - fit certain things. A physician can can certainly
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  - see a patient evaluate them based on their
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  - experience, expertise,
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  - and this is gonna be true for physician,
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  - nurses, etcetera.
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  - But oftentimes,
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  - when there's that disconnect between
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  - what the physician is recommending and what the
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  - AI is recommending,
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  - a lot of times, a health system or
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  - an administrator
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  - will say, well, the AI said this. Why
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  - are you recommending this? And creates a a
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  - an inherent conflict there. And although there's a
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  - human in the middle with a physician there,
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  - what is happening is that now you're disbelieving
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  - the human because of that disagreement. And so
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  - having it simply having a human in the
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  - middle is one thing. Allowing and supporting the
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  - human in the middle and saying that, hey,
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  - despite the disagreement, we will support you. Unless
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  - there's something egregious, you know, humans make mistakes,
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  - but so does AI. And so I think
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  - we need to navigate that that disagreement a
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  - bit better than we are right now.
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  - And what's something that leaders can do to
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  - get ahead of this? What can they do
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  - right now?
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  - So I think the first thing is to
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  - be curious. Right? And I feel like I'm
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  - quoting Ted Lasso here with, with this statement,
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  - but I think be curious is the first
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  - thing is when there is a a disagreement
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  - on one side or the other, instead of
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  - assuming that one is right or one is
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  - wrong, we should at least, reach out and
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  - talk to the individual, have a conversation, say,
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  - hey. We saw this was the recommendation from
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  - our protocol. We saw this was what's in
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  - the EMR,
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  - and you decided something different. Help us understand
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  - what you're thinking, why, what was the reason,
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  - what's the the situation.
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  - And I think having that conversation
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  - to explore and understand,
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  - not to alleged wrongdoing,
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  - I think that's the first step in this,
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  - is have the open pathway, have the open
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  - conversation,
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  - assume that the person is right, and then
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  - find out what went on and and understand
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  - and and do that better rather than assuming
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  - that the person is wrong and they're doing
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  - something incorrect.
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  - Got it. Got it. Thank you so much
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  - for that actionable advice.
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  - And before I let you go, is there
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  - anything else that listeners should know?
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  - I think, it's great that there's such a
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  - proliferation of fantastic technology.
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  - I think we just have to be careful
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  - in today's world of
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  - trusting the technology too much. As we've seen
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  - in the headlines the last few days, especially,
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  - that as great as AI is, it does
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  - have its limitations.
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  - Whether it be from driving cars that are
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  - autonomous driving, to health care, to
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  - algorithmic trading in the stock market, all these
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  - different places that now you're seeing proliferation of
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  - AI.
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  - We still need to be careful about how
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  - the technology is used and know that there
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  - are limits on that, and nothing is perfect.
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  - Humans aren't perfect.
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  - Technology is not perfect, and we have to
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  - find a better balance and just appreciate
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  - the limitations that we all have.
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  - Absolutely. Well, that's a great note to end
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  - on. Doctor Perroha, I wanna thank you as
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  - always for joining me today and for sharing
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  - your insights on the Becker's Healthcare podcast. Thank
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  - you so much. Thanks, Chanel. Really appreciate it.