Latest / Becker’s Healthcare -- Pediatric Leadership Podcast / Ryan Cameron on Building the Future of Pediatric Care with AI and Innovation

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Ryan Cameron on Building the Future of Pediatric Care with AI and Innovation · Becker’s Healthcare -- Pediatric Leadership Podcast

• 0:02
  - Every health system executive right now is being
• 0:04
  - asked to do something that has no useful
• 0:06
  - precedent,
• 0:07
  - make durable technology decisions in an environment that
• 0:10
  - looks meaningfully different every six months.
• 0:13
  - The pace isn't slowing,
• 0:14
  - the vendor landscape isn't getting simpler, and the
• 0:17
  - cost of missteps
• 0:18
  - keeps rising.
• 0:19
  - Becker's eleventh annual IT and Revenue Cycle Conference,
• 0:23
  - The Future of AI and Digital Health, exists
• 0:25
  - for exactly this challenge.
• 0:27
  - Here, you'll find more than 2,500 executive level
• 0:30
  - attendees,
• 0:31
  - 600 plus speakers, and four days of sessions
• 0:34
  - built around the questions leaders are actually wrestling
• 0:36
  - with.
• 0:37
  - How to scale AI responsibly,
• 0:39
  - how to protect increasingly complex systems,
• 0:42
  - how to wring more performance out of the
• 0:44
  - revenue cycle, and how to make tech investments
• 0:46
  - that hold up over time.
• 0:48
  - Join us September fourteenth through the seventeenth at
• 0:51
  - the Hilton Chicago.
• 0:53
  - You can register on our events page at
• 0:55
  - beckershospitalreview.com
• 0:57
  - by clicking on the events tab in the
• 0:59
  - upper right.
• 1:01
  - This is Laura Dierda with the Becker's Healthcare
• 1:03
  - podcast.
• 1:04
  - I'm thrilled today to be joined by Ryan
• 1:05
  - Cameron, executive vice president and chief information and
• 1:08
  - innovation officer at Children's Nebraska. Ryan, it's a
• 1:11
  - pleasure to have you on the podcast today.
• 1:13
  - Oh, thanks for having me. Always great to
• 1:15
  - sit down with Becker's and dream big and
• 1:18
  - talk about the future.
• 1:20
  - Exactly. I love it. Well, I'm excited to
• 1:22
  - dig in this conversation because there are just
• 1:24
  - so much happening in technology and health care
• 1:26
  - today. And so to really get your perspective
• 1:28
  - on what you're working on and then how
• 1:29
  - you are seeing the future play out will
• 1:31
  - be so powerful. But before we dig in,
• 1:34
  - can you tell us just a little bit
• 1:35
  - about yourself, your background, as well as Children's
• 1:37
  - Nebraska?
• 1:38
  - Sure. Children's Nebraska is the only freestanding
• 1:42
  - children's hospital in the state.
• 1:44
  - We are 279
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  - is the bed count right now. I double
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  - checked this morning.
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  - We're a growing entity, which is super exciting
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  - and kind of unique in healthcare today.
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  - We recently just opened a behavioral health and
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  - wellness center,
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  - and our hospital also operates primary care, which
• 2:04
  - we call children's physicians,
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  - and that's available throughout the state. And we
• 2:08
  - have over 50 specialties in pediatrics.
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  - Been really
• 2:12
  - great to be with the organization for the
• 2:14
  - last four and a half years.
• 2:17
  - We recently were honored with the magnet with
• 2:20
  - distinction award for nursing, which is pretty incredible.
• 2:24
  - And along the way, we've been honored with
• 2:26
  - a couple of national level innovation awards too.
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  - So
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  - great place to be and really connected with
• 2:32
  - our community.
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  - I love that. Thank you so much, Ryan.
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  - And, you know, really, really impressive to see
• 2:39
  - everything that you're doing there at, showbiz debrasta.
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  - So thank you.
• 2:43
  - So first and foremost, could you talk a
• 2:45
  - little bit about some of the powerful forces
• 2:47
  - that you're seeing right now shaping digital health
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  - and IT at the organization, and how do
• 2:51
  - you think that they'll evolve over the next
• 2:53
  - few years?
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  - Wow.
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  - Well, you know, the the easy answer and
• 2:57
  - what you're probably expecting me to say is
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  - gonna be AI.
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  - But I think really that what we're watching
• 3:04
  - is AI is really just kind of an
• 3:06
  - amplifier
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  - or an accelerator.
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  - It's not really the source or the driver
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  - of what the most powerful force in healthcare
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  - is today.
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  - Particularly in pediatrics, I like to think our
• 3:18
  - most powerful force
• 3:20
  - comes from within.
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  - It's really been our commitment
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  - and kind of that tenacity to have
• 3:27
  - the confidence to build trajectory, to lead advancements
• 3:30
  - in pediatrics.
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  - We're starting to see that,
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  - create some great dividends for our patients, our
• 3:36
  - patient families, and then other hospitals and organizations
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  - that we collaborate with.
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  - But I will say that
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  - traditional
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  - EHRs,
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  - they they continue to kind of dominate what
• 3:50
  - health care looks like.
• 3:51
  - But in pediatrics in particular,
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  - this notion of AI as an accelerator
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  - and data streams
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  - everywhere is really what's changing things.
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  - So, I've started to kinda call it multi
• 4:04
  - context data.
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  - Well, what the heck does that mean?
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  - School systems, wearables,
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  - social determinants of health, inputs from parents,
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  - really thinking about holistic
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  - medicine and health care, that's really, really important
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  - for pediatrics.
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  - In particular, when we opened the behavioral health
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  - center, we looked at it not as an
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  - island,
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  - but as a component
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  - of the total health care, that we provide.
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  - So it's kind of this notion of of
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  - AI as the catalyst, but it's a catalyst
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  - for
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  - the rise
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  - of child centered longitudinal
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  - records.
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  - The expansion
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  - of real time data, digital therapeutics, remote monitoring,
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  - we've been talking about these things for years,
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  - and they've been moving very slow in isolated
• 4:57
  - pockets.
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  - But
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  - with kinda what's going on with AI,
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  - the data's better, it's faster, it's cheaper, it's
• 5:05
  - more accessible to patients and providers.
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  - So I think that's the most powerful force
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  - right now.
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  - We have, for example, a school based telehealth
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  - program
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  - and for rural healthcare in Nebraska is really
• 5:17
  - important for what we do.
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  - We not only provide care in the metro
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  - areas, but across the state.
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  - And we started with just eight schools
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  - and it's been wildly popular. In some instances,
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  - some of the communities,
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  - they maybe have a school nurse, they maybe
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  - don't,
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  - they maybe have a volunteer program where people
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  - learn about basic life support and things like
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  - that. So it's really important that we remain
• 5:39
  - connected to them as well.
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  - And this year we're expanding that school based
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  - telehealth program to 30,
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  - schools. So that's super exciting for us. And
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  - it really all goes back to,
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  - you know, what is feeding the AI
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  - drive is all this great data, this longitudinal
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  - data that we have now.
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  - Got it. That makes a ton of sense.
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  - And, you know, really cool to have that
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  - opportunity to see that data, the information,
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  - and and really what's possible with it. I
• 6:07
  - I think,
• 6:08
  - as you mentioned, you're looking at
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  - the communities
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  - of a variety of different,
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  - populations that you serve and being able to
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  - leverage AI to connect with them and improve
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  - accessibility,
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  - makes a really big difference. So when you
• 6:24
  - see this future of, more interconnectivity
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  - and,
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  - more ability
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  - to reach people and, have accessible health care,
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  - what does it take to get there? What
• 6:33
  - are the roadblocks you're seeing today,
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  - that you are expecting or needing to overcome
• 6:38
  - in order to get to that reality?
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  - You know, the
• 6:41
  - there there's plenty of roadblocks.
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  - I I think the one that is the
• 6:45
  - most notable and the one that
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  - I would love for the healthcare community to
• 6:52
  - engage in deep, careful conversation about,
• 6:56
  - is really around the pressure for identity management.
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  - It's great to have all of these systems
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  - and all of the data and, you know,
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  - have continuity of care that goes
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  - beyond just kind of a single visit.
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  - We want that. I think patients want that
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  - as well, particularly moms and dads.
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  - But the problem is you have kind of
• 7:19
  - companies that are releasing tools now that it's
• 7:22
  - it's shortening the time span of finding vulnerabilities
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  - and finding risks.
• 7:27
  - And it's coming from a good place. So
• 7:29
  - I'm talking about mythos. It's very timely and
• 7:33
  - in the press right now.
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  - I'm sure
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  - Anthropic released this tool thinking this will help
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  - us develop amazing software that's super secure and
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  - super reliable,
• 7:42
  - but we also know that there's two sides
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  - to that coin. And we're already seeing AI
• 7:48
  - assisted attacks.
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  - So
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  - it's kind of this notion of imagine that
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  - you have a master key that can now
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  - open any lock.
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  - And the statistics that are coming from this
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  - are are are pretty compelling.
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  - I think it's 83%
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  - of the time,
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  - regardless
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  - of what application that mythos looks like, it
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  - will find
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  - successfully a vulnerability.
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  - So we can no longer lean on,
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  - you know, the security tools that we used
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  - to have. You can't just keep setting up
• 8:20
  - gates and locks and gates and locks over
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  - and over again because that's no longer sufficient.
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  - So really identity management
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  - is where
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  - we need to be really focused.
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  - And I think it is absolutely true that
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  - all healthcare providers that are really interested
• 8:37
  - in kind of digital health and remote patient
• 8:39
  - monitoring are forced to be very reactive right
• 8:42
  - now,
• 8:44
  - and very nervous about what this future is
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  - gonna look like. So I think the roadblock
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  - is finding a smart way
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  - to design systems so that they really have
• 8:54
  - a lot of resiliency. You have really exceptional
• 8:57
  - identity management,
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  - and we're really doing everything we can,
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  - to be good stewards of patient data and
• 9:04
  - health care data.
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  - And that's really helpful to understand, and and
• 9:08
  - thank you for explaining one step deeper there
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  - because I I think all of these things
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  - are kind of floating around in,
• 9:14
  - you know, the the stratosphere. But to really
• 9:16
  - understand, you know, the, the impact they could
• 9:19
  - have for patients and for hospitals and health
• 9:21
  - care institutions is so critical in planning for
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  - the future. And, you know, speaking of that,
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  - I'm curious. Could you tell us about a
• 9:29
  - a big project or a big swing that
• 9:31
  - you've taken in the last year that's paid
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  - off? What did you do, and what were
• 9:34
  - the results?
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  - I love that you asked that question. Big
• 9:38
  - swing,
• 9:39
  - it's college world series season here in in
• 9:42
  - Omaha where our main campus is. So appreciate
• 9:45
  - the analogy there.
• 9:48
  - So, you know, last year, we got quite
• 9:50
  - a bit of attention because we developed an
• 9:53
  - agentic AI platform called Hey Medicaid,
• 9:57
  - which really got into
• 9:59
  - using agentic technology to help the, you know,
• 10:02
  - patients and patient families
• 10:04
  - with the Medicaid
• 10:05
  - certification recertification
• 10:07
  - process. And that's
• 10:08
  - absolutely critical of pediatrics. We're committed to that
• 10:11
  - project and it's really starting to take off.
• 10:14
  - So we're super excited about that. The big
• 10:17
  - swing that we're taking right now is really
• 10:20
  - around
• 10:21
  - command centers.
• 10:23
  - And so our command center is called Synapse.
• 10:25
  - And
• 10:26
  - this isn't necessarily new in healthcare,
• 10:30
  - but what is possible
• 10:32
  - inside of a command center is brand new.
• 10:35
  - It's a lot more
• 10:37
  - than
• 10:38
  - bed management, throughput,
• 10:41
  - making sure you're efficient with your use of
• 10:43
  - clinical space,
• 10:46
  - really digging into real time data, clinical decision
• 10:49
  - support.
• 10:50
  - So those things are really starting to come
• 10:52
  - together.
• 10:53
  - I absolutely love our story behind this because
• 10:56
  - similar to how we started our innovation program,
• 10:59
  - we kind of reclaimed
• 11:01
  - some underutilized
• 11:02
  - space. So we had a small classroom,
• 11:05
  - we weren't using it very often anymore. Everything
• 11:08
  - has moved to Zoom or moved to
• 11:10
  - web based technologies for training.
• 11:13
  - And so we took this classroom and we
• 11:15
  - flipped it
• 11:17
  - into
• 11:18
  - a command center. And so we've got the
• 11:21
  - cool desks with the curved screens and all
• 11:23
  - of the accoutrement one would expect from
• 11:26
  - a modern and contemporary
• 11:27
  - command center. But what's really amazing about it
• 11:30
  - is we're not even done with construction
• 11:33
  - and the data is already improving care.
• 11:36
  - I was in the hallway
• 11:38
  - just this week, walked past our chief nursing
• 11:41
  - officer and she was absolutely beaming
• 11:43
  - that,
• 11:44
  - she got a piece of data and was
• 11:46
  - able to act on it right away
• 11:48
  - to improve a patient's experience. And,
• 11:50
  - how can you not
• 11:52
  - love that where you're not even done with
• 11:54
  - the project and you're really starting to see
• 11:56
  - value there? So I think whether you have
• 11:58
  - a formal command center or not,
• 12:01
  - the big swing is really leaning into this
• 12:04
  - notion of
• 12:05
  - real time data.
• 12:07
  - It's so possible now. It's an achievable goal.
• 12:11
  - And if you're really focused on that, you're
• 12:13
  - gonna see immediate gains, with your patients that
• 12:16
  - you're serving. So we're excited about that.
• 12:19
  - Then, that seems like an amazing use case
• 12:22
  - when you think about technology and AI in
• 12:24
  - ways that it can,
• 12:25
  - really
• 12:27
  - overhaul in a positive way the the health
• 12:29
  - care delivery operations and, get you into a
• 12:33
  - a space where not only are the patients
• 12:35
  - benefiting, but the, team is benefiting as well.
• 12:39
  - And really figuring out how they can, bring
• 12:42
  - more and more into
• 12:44
  - humanity into the space in the mid day.
• 12:46
  - Yeah. Just working in the background of it.
• 12:47
  - So Absolutely spot on. Yeah. Yeah. Fantastic.
• 12:51
  - Well and I think,
• 12:53
  - you know, as you're getting this all together
• 12:56
  - and and working on,
• 12:58
  - developing the command center and and thinking through
• 13:00
  - the possibilities,
• 13:02
  - how
• 13:03
  - I guess, what challenges or opportunities are you
• 13:05
  - running into? What's the next steps in the
• 13:07
  - process of realizing this goal?
• 13:09
  - Well, you know, some of it is is
• 13:11
  - just technology and just getting stuff to come
• 13:14
  - together and and work the way it's designed
• 13:17
  - to do, but really it's about people.
• 13:20
  - One one of the most important things that
• 13:22
  - we've picked up on along the way,
• 13:24
  - and we we learned this from our own
• 13:26
  - experience and and, of course, we learned this
• 13:28
  - from our peers. We love collaborating at Children's
• 13:30
  - Nebraska.
• 13:32
  - And, we got some good advice that said,
• 13:34
  - when you're gonna build a command center, do
• 13:36
  - what's called a test fit
• 13:38
  - and,
• 13:40
  - go so far as to take, like, cardboard
• 13:43
  - boxes and write desk or computer screen or,
• 13:47
  - you know, whatever that equipment happens to be
• 13:49
  - on it and move it around the room
• 13:51
  - and do drills and trials and figure out
• 13:54
  - where people are gonna move and where they're
• 13:56
  - gonna sit and how they're gonna communicate.
• 13:58
  - Because all the data in the world, all
• 14:00
  - the technology in the world is great, but
• 14:02
  - at at the end of the day,
• 14:04
  - it has to be usable and it has
• 14:05
  - to make sense and it has to feel
• 14:07
  - comfortable.
• 14:09
  - Clinical environments
• 14:11
  - are noisy and stressful and high knowledge and
• 14:14
  - complex.
• 14:15
  - And anything that we can do
• 14:17
  - for our team and for our staff to
• 14:19
  - kind of provide that relief from a human
• 14:21
  - centered design standpoint,
• 14:24
  - I think is going to make or break
• 14:26
  - the project.
• 14:27
  - So
• 14:28
  - I'm really excited about our approach and where
• 14:30
  - we're going on it. But I think
• 14:33
  - a lot of the times the organization can
• 14:35
  - kind of skip,
• 14:37
  - human centered design and they can kind of
• 14:39
  - skip the, hey, let's start from a place
• 14:42
  - of empathy. Let's start from a place of
• 14:44
  - even assuming that our design is wrong.
• 14:48
  - You know, just do that red teaming exercise
• 14:51
  - where you're looking at your plan and be
• 14:53
  - open to saying
• 14:55
  - what's wrong with this rather than just focus
• 14:57
  - on this is the goal and everything. Assume
• 15:01
  - everything's right, and we're gonna go ahead and
• 15:02
  - get to the the goalpost and finish line.
• 15:04
  - So I I think it's being very planful,
• 15:07
  - human centered design, what the usability of the
• 15:10
  - center is.
• 15:12
  - Certainly,
• 15:13
  - many people that are listening to this
• 15:15
  - podcast have probably been to command centers and
• 15:17
  - and not seen a lot of people in
• 15:19
  - them.
• 15:20
  - And it was something that was really trendy
• 15:23
  - and popular at the time, and then it
• 15:25
  - kinda fell by the wayside.
• 15:27
  - We do not want to accept that risk.
• 15:29
  - So we we will put in lots of
• 15:32
  - effort to be very planful that it's a
• 15:35
  - space that not only has valuable data, but
• 15:37
  - it's a space that people feel is valuable
• 15:40
  - and and, you know, you know, really important
• 15:42
  - as a component of their job.
• 15:44
  - That makes a lot of sense. And, you
• 15:46
  - know, really, it kinda speaks to, everything else
• 15:48
  - that we've been talking about today is how
• 15:49
  - are we marrying the technology with the human
• 15:51
  - connection and figuring out how to to put
• 15:54
  - it all together,
• 15:55
  - which is fantastic. It's like buying an exercise
• 15:57
  - bike, and then one day you wake up
• 15:59
  - and it's a clothesline in your basement. Like,
• 16:01
  - you don't wanna do that.
• 16:03
  - No. Not the point of that big investment
• 16:06
  - for sure. No. No. No. So we we
• 16:08
  - wanna make sure that's designed really, really well.
• 16:11
  - Absolutely. I love that.
• 16:13
  - You know, in in thinking through kind of
• 16:15
  - the broader big picture of AI and technology,
• 16:18
  - I know we talked about the command center
• 16:20
  - is very much front and center, but what
• 16:21
  - are some of the other important problems that
• 16:23
  - you're trying to solve right now with AI
• 16:25
  - and technology?
• 16:26
  - Anything new that's upcoming, or is it just
• 16:28
  - a lot of the the same things that
• 16:30
  - you've been working on and health care has
• 16:31
  - been working on for a while?
• 16:33
  - Oh, man.
• 16:35
  - Everything is so different.
• 16:37
  - It it's it's a wild, weird, wonderful time
• 16:41
  - to be in healthcare and in technology.
• 16:44
  - All the playbooks are changing. All of the
• 16:46
  - things that are valuable are changing.
• 16:49
  - Some days,
• 16:50
  - you almost just kind of freeze in place
• 16:53
  - and just kind of stare
• 16:55
  - into the new stream of how wild things
• 16:58
  - are changing.
• 16:59
  - I think with AI, the most important thing
• 17:02
  - is recognizing
• 17:04
  - that
• 17:05
  - the old process
• 17:07
  - of,
• 17:08
  - managing a big portfolio of SAS products
• 17:12
  - of, you know,
• 17:14
  - being expected to follow a workflow that that
• 17:17
  - the vendor creates that
• 17:19
  - is good enough for 1,000 customers versus perfect
• 17:22
  - for one customer,
• 17:25
  - is no longer acceptable because,
• 17:28
  - the
• 17:29
  - technology has really democratized
• 17:32
  - how you can build workflows and how you
• 17:34
  - can customize software, and it's lowering the price.
• 17:38
  - So I think the pressure
• 17:40
  - is more on
• 17:42
  - good partners who are in
• 17:45
  - the SAS technology space, particularly with AI,
• 17:49
  - to build
• 17:50
  - environments that
• 17:52
  - provide that opportunity.
• 17:54
  - If you're not focused on that and you're
• 17:56
  - really trying to say,
• 17:58
  - we know best and this is the workflow
• 18:00
  - that works the best for 90%.
• 18:04
  - I think that's no longer a winning strategy.
• 18:07
  - And so as
• 18:08
  - I talk to CIO peers, as I talk
• 18:10
  - to folks that are stressed out about a
• 18:12
  - particular thing, Most of the time it stems
• 18:14
  - from that.
• 18:15
  - They have a big product. It's a big
• 18:17
  - investment for them.
• 18:19
  - It's critical to patient care and operations, but
• 18:22
  - the workflows aren't great.
• 18:23
  - So
• 18:24
  - with customization,
• 18:26
  - you know, some people call it vibe coding.
• 18:29
  - That's kind of a bad word in the
• 18:31
  - IT world because
• 18:32
  - it it it comes along with it, the
• 18:34
  - perception that vibe coding is not good coding.
• 18:38
  - The reality is that vibe coding is perfectly
• 18:40
  - good coding.
• 18:42
  - You just have some additional QA steps that
• 18:44
  - you need to do to make sure that
• 18:45
  - it's rock solid because you're coming from a
• 18:48
  - place where you've
• 18:49
  - made your designer and democratized the process
• 18:52
  - as close to the user as possible.
• 18:56
  - And I absolutely love that.
• 18:58
  - I I think the the best products are
• 19:00
  - born, you know, from the people who are
• 19:02
  - experiencing the problems firsthand,
• 19:04
  - not necessarily from an engineer's interpretation
• 19:08
  - of what that happens to be. So,
• 19:10
  - yeah, I I think that's
• 19:12
  - if if I look into the abyss of
• 19:14
  - AI and have to say something that is
• 19:16
  - practical
• 19:18
  - and something we can act take action on,
• 19:21
  - it would be focusing on those workflows and
• 19:23
  - customizations.
• 19:25
  - Fantastic. I I love that. And I I
• 19:27
  - think, it seems like more and more, folks
• 19:29
  - on the front line and in people within,
• 19:32
  - their own specialties are getting comfortable with that
• 19:35
  - vibe coding with using AI. And Sure. I'm
• 19:37
  - trying to figure it out. So have you
• 19:38
  - seen that at Children's Nebraska as well? Or
• 19:41
  - how are you, I guess, bringing that AI
• 19:43
  - technology literacy up to that point where they
• 19:46
  - can feel comfortable,
• 19:47
  - using the tools available to help solve some
• 19:50
  - of these problems?
• 19:51
  - Absolutely. We're we're all in.
• 19:53
  - All in in the sense that,
• 19:55
  - we have an organizational
• 19:57
  - goal this year.
• 19:58
  - We call them high impact team goals.
• 20:01
  - And so those span across our organization.
• 20:05
  - We have a firm commitment not only to
• 20:07
  - say,
• 20:10
  - not only everybody can be a developer,
• 20:12
  - but how do we make sure that
• 20:15
  - everybody is a good developer?
• 20:18
  - Giving them the tools and the resources and
• 20:20
  - the support mechanisms where if they have that
• 20:22
  - great idea and they wanna take that first
• 20:25
  - design step and do the vibe coding step,
• 20:27
  - what is the pipeline that we can provide
• 20:29
  - and create
• 20:31
  - where we're protecting data, we're being good stewards,
• 20:34
  - we're designing things so that they have resiliency
• 20:36
  - and they work in the long term.
• 20:39
  - So we're building all those mechanisms. We're going
• 20:41
  - so far as to have our own in
• 20:44
  - house development,
• 20:46
  - and we have, you know, our own customized
• 20:49
  - training program for our workforce.
• 20:51
  - And it's a very, very comprehensive plan and
• 20:54
  - goal.
• 20:55
  - You know, you mentioned the big swing for
• 20:57
  - last year
• 20:59
  - for 2027.
• 21:01
  - We're 100%
• 21:02
  - swinging for the fences,
• 21:04
  - when it comes down to
• 21:06
  - democratizing
• 21:07
  - development across the organization. I would love for
• 21:10
  - a reality where we build it, where
• 21:13
  - all of our providers and nurses
• 21:15
  - can come to the Mammal Innovation Center at
• 21:18
  - Children's Nebraska and create their own apps. And
• 21:20
  - and I think it's a very real possibility.
• 21:24
  - I love it. That is so exciting to
• 21:25
  - hear. And and definitely having that kind of
• 21:27
  - commitment from the institution,
• 21:30
  - it really helps to to,
• 21:32
  - put wind in the sails of making that
• 21:34
  - a reality. So, I love it. Before we
• 21:36
  - wrap up here, I just have one more
• 21:38
  - question. What are you most curious about for
• 21:40
  - the future?
• 21:42
  - Well, I, you know,
• 21:44
  - I think the future
• 21:46
  - right now is is so
• 21:48
  - undefined.
• 21:50
  - What I'm most curious about is
• 21:53
  - how
• 21:54
  - we as as leaders, leaders in health care,
• 21:57
  - are gonna step up to the plate to
• 21:59
  - make sure that
• 22:02
  - we shape the definition of what the future
• 22:04
  - is gonna look like.
• 22:06
  - You know, there there's a great quote out
• 22:08
  - there that, you know, the future isn't a
• 22:10
  - place that you visit. It's something that you
• 22:12
  - build.
• 22:13
  - And I think that's very relevant right now
• 22:15
  - because,
• 22:17
  - you know, data ownership, data rights, privacy,
• 22:21
  - a lot of times it feels like these
• 22:23
  - decisions are being made by people other than
• 22:26
  - the ones who actually have ownership of that
• 22:28
  - data.
• 22:30
  - And, you know, the the most important example
• 22:32
  - I can give you right now is watch
• 22:34
  - the videos
• 22:36
  - of, you know, early career graduates
• 22:38
  - who are watching their keynote speakers outright boo,
• 22:43
  - when they even mention AI.
• 22:46
  - So to me, being a technology super fan,
• 22:49
  - really believing in the the positive
• 22:51
  - aspects of that technology,
• 22:53
  - it's very troubling because it sends a signal
• 22:56
  - to me that we need to make better
• 22:58
  - decisions
• 22:59
  - about
• 23:00
  - governance,
• 23:01
  - about data ownership,
• 23:03
  - about doing things in such a way that,
• 23:06
  - this technology truly can be the best decision
• 23:09
  - that humanity has ever made. But there is
• 23:11
  - an equal risk that it could be one
• 23:13
  - of the worst decisions that we've ever made
• 23:16
  - if we don't get on top of it.
• 23:17
  - So I I think what I'm curious about
• 23:19
  - is what the call to action and response
• 23:21
  - is going to look like
• 23:23
  - from health care leaders. And so, you know,
• 23:25
  - my hope is that others will join with
• 23:28
  - us and we'll continue to be very actively
• 23:30
  - engaged in the conversation,
• 23:32
  - build really great standards.
• 23:34
  - Children's Nebraska is partnering with an organization called
• 23:37
  - DIME,
• 23:38
  - and that includes
• 23:40
  - Boston Children's and Stanford Children's. And and we're
• 23:43
  - collaborating together right now on an AI playbook
• 23:46
  - for organizations to be able to use. And
• 23:48
  - I think that's a perfect example
• 23:51
  - of of how hospitals can really not only
• 23:53
  - be curious about the future, but own it.
• 23:56
  - Fantastic. I love that. Ryan, thank you so
• 23:58
  - much for joining us on the podcast today.
• 24:01
  - This has been such an inspiring conversation.
• 24:03
  - I I really truly
• 24:05
  - appreciate your approach in in being candid with
• 24:08
  - us, and I look forward to connecting with
• 24:10
  - you again soon. And, especially, I know you'll
• 24:11
  - be speaking at our health IT, digital health,
• 24:13
  - and revenue cycle conference coming up here in
• 24:15
  - September,
• 24:16
  - and really, you know, digging deeper into a
• 24:18
  - lot of the things we touched on today,
• 24:20
  - being able to broaden that discussion. So I'm
• 24:22
  - looking forward to see you there in person
• 24:24
  - and continue on the conversation.
• 24:26
  - Always look forward to the backers events. Thanks
• 24:28
  - for having us, and, thanks so much for
• 24:30
  - your support of of Children's Nebraska. We appreciate
• 24:32
  - it.