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Imagine this. You're in the heart of Chicago

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mingling with the brightest minds in health IT.

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You've arrived at the 9th Annual Health IT

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plus Digital Health plus RCM conference

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taking place October 1st through 4th at the

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luxurious Hyatt Regency Chicago.

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Picture the excitement as you collect countless business

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cards forging invaluable connections with over 25 100

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executive level attendees.

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Feel the buzz of ideas flowing as you

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engage in meaningful conversations about the future of

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healthcare technology.

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Envision yourself attending sessions led by over 415

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elite speakers

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gaining insights that could transform your organization.

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From digital transformation and telehealth to clinician burnout

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and cybersecurity,

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each topic is designed to spark new ideas

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and provide actionable takeaways, but it doesn't stop

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there. Imagine sitting in a packed auditorium listening

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to motivating keynotes from some of the biggest

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names in sports. Four time Super Bowl champion,

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Rob Gronkowski,

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WNBA champion, and author, Lisa Leslie, and NFL

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legend and ESPN

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analyst,

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Eli Manning, will be there sharing their stories

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and inspiring you to reach new heights. All

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around you, the future of Health IT unfolds,

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and you're not just a spectator.

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You're an active participant.

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Don't wait. You can find the event website

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and get registered by visiting beckershospitalreview.com

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and clicking on the events page. That's the

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beckershospitalreview.com

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events page.

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This is Laura Dierda with the Becker's Health

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Care podcast.

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I'm thrilled today to be joined by Chuck

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Podesta, chief information officer at Renown Health. Chuck,

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it's a pleasure to have you on the

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podcast today.

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Thank you. Thank you very much. I'm, happy

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to be here.

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Now I know we've got a lot to

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talk about. There's so much happening in health

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care and technology right now and really, you

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know, cool things you're doing at Renown as

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well. But before we dive into our discussion,

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can you tell us a little bit more

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about yourself and your background?

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Sure. Yeah. So I've been here at Renown

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Health for about 3 years now. Started actually,

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I just had my anniversary 3 years in

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July.

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But I've been a CIO now for almost

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30 years

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and,

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and almost 40 a little over 40 years

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in health care, IT,

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in my career, and I used to introduce

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myself and say that just makes me old,

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but somebody stopped me one day and said,

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no. That makes you wise.

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So I'm gonna go with wisdom over age,

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in my introduction from now on. So,

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but the last, I would say, 15 years

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have been in academic medicine, and now at

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Renown Health, for 3 years. We're an integrated

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delivery system

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in, Northern Nevada. Also have a, we have

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2 acute care centers along with, children's hospital,

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all the ambulatory

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clinics that you would imagine that would be

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part of an integrated delivery

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network. We also have a very tight affiliation

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with University of Nevada Reno,

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School of Medicine. So,

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we are rapidly, you know, moving

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academic affiliation,

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you know, with,

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residency programs and and,

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certainly,

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focused on research activities, clinical trials, and things

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like that. So I'm excited about that since

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I I do have a background

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in academic medicine. And, you know, we are

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this is good timing for this because we

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actually are embarked on a a multiyear strategic

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planning effort, and we're actually getting towards the

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end of that, coming down to the actual

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initiatives that will start in 2025.

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So

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happy to talk about those.

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That's fantastic. Well, we can dive right in.

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What are some of the big opportunities and

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headwinds that you have your eye on right

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now? What's top of mind for you, especially

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as you mentioned, some of that strategic planning

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for the future?

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Yeah. I think it you know, it's a

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it definitely is a growth strategy,

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that that we're embarked on in serving our

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our community here in Northern Nevada. And if

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you know anything about, the Reno area, it

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is from a a population

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perspective.

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We have an influx of people from,

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a lot of different states, but, particularly

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California right now.

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So,

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every time I drive around, I see new

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housing units going up,

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and, it's really,

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the population is expanding. So we have to

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expand with that and make sure that we're

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we have facilities available in in the various

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areas of Northern Nevada that serve our patients,

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and community. We also have a a large

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rural population as you can imagine,

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with a lot of critical access hospitals,

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that we,

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work closely with as well. So that needs

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to be part of the strategy. I think

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in in just to name a few areas

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we're focused on, I think this will mirror

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a lot of what's happening with health care,

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you know, across the

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United States

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right now is,

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so in areas of virtual care,

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you know, which a lot of that started

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with COVID

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and kind of petered out a little bit,

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post post COVID. Although, I don't know if

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I can say post COVID because,

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COVID's here to stay.

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But things like, you know, telehealth, telemedicine,

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hospital home,

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virtual nursing, all those things come under kind

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of a virtual care

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umbrella.

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And as organizations,

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move

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more towards a a value based care

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model versus

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fee for service. These types of

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technologies and initiatives come into play, and that's,

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no different here. But now we also I

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I should have mentioned, we also have,

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an insurance company, Hometown Health.

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So we are in the

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payer space as well, and we do have

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value based care models for some of our

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patients. So we have to look at these

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type of virtual care strategies to help in

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that area. But also from a rural care

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perspective, when you think of telehealth and telemedicine

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expanding out into those areas, it certainly makes

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a lot of sense. So

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I know that's something that's being discussed, you

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know, across the country. A lot of,

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organization already moved in that direction. We're going

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there as well. And I would say the

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next thing is data analytics.

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We hear that

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across all of health care.

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That will be the engine, I think, that

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drives everything. You've gotta have quality data

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to do a lot of different things, you

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know, when it comes to

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looking at personalized medicine,

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certainly disease outbreaks. We learned that from our

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COVID experience.

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Operational efficiencies within the organization

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itself, patient experience,

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and safety.

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You know, data analytics plays a huge role,

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in all of those areas. And, of course,

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with

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the buzzwords now with AI and ML,

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without

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a solid data analytics program,

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you can't really venture into the AI ML

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space without it.

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So that's big. Interoperability,

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again, again, the government's got involved in that

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as well and and requiring a lot of

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interoperability

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between systems.

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Lots of challenges there.

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But from a coordination of care aspect, you

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you really need to be able to move

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information

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in and out of your electronic health records

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in a seamless fashion

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to a variety of other systems,

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both within your organization, but outside of your

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organization as well.

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I mentioned briefly AI machine learning. That's,

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without question,

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probably the biggest thing that's going to impact

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health care in the next 5 years

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around.

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Right now, it's you know, a lot of

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it's focused on administrative processes, which is great,

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saving people time, productivity, things like that.

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But we're also getting into diagnostics and treatment

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plans and things like that, going forward.

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Research will also be big in the space.

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Wearable tech, which,

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has been around for for quite a while,

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but it's getting,

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I think a little more play post COVID

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as well as part of the tide of

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virtual care, hospital or home. Also, the technology,

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I think, has caught up a bit.

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Better technology, better wearables.

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I think the focus,

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for us and and and others from what

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I'm hearing is is that continuous monitoring of

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chronic diseases will be big. If you think

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about, you know, chronic diseases like,

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like diabetes,

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COPD,

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congestive heart failure,

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things like that, those are the highest cost

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diseases that states that are out there.

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And so continuous monitoring of those, I think,

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gives us a

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window into what's happening to those patients, but

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also allows us to intervene

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in lower cost settings,

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for them and hopefully drive the cost down.

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So that will be,

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I think you'll see wearable tech kick off

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more than it has.

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And then certainly cybersecurity,

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you know, that's we every time we turn

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around, we just had a,

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the issue with Change Healthcare. That was the

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biggest thing,

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I would think in the past year, but

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also variety of other ransomware

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attacks that have taken place. I think one

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of the technologies that you're gonna hear more

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about is blockchain.

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It's been around for quite a while,

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and used in, like, claims processing

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and some other types of applications. But I

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think, securing patient data, it's it's gonna have

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a role just

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based on the way it's architected. And I

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know a lot of companies are starting to

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look at that, and I think that that

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will play a role for us. And in

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cloud computing, you've gotta have a strategy around

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that

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as well,

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just to be able to be scalable in

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your technology as you're implementing,

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the different applications.

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But, you know, there's risks associated with that,

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as well as we all know,

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with the, you know, the various cloud type

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systems that have gone down,

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and, you know, with the change health care

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issue and,

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merger and acquisitions

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in in the industry,

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it's very difficult to have

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backup plans. And so,

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you need to have,

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you know, some sort of business continuity

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00:10:09,105 --> 00:10:11,845
tied to, that cloud computing. So,

276
00:10:12,785 --> 00:10:13,684
lots of challenges,

277
00:10:14,465 --> 00:10:15,684
I can touch on,

278
00:10:16,110 --> 00:10:17,889
you know, the data security

279
00:10:18,429 --> 00:10:19,329
and and privacy's,

280
00:10:20,029 --> 00:10:21,329
on everybody's mind.

281
00:10:22,029 --> 00:10:22,690
Right now,

282
00:10:23,470 --> 00:10:24,704
I talked about interoperability

283
00:10:25,245 --> 00:10:27,485
and just, there's just so many diverse systems

284
00:10:27,485 --> 00:10:29,964
out there and moving data around. Again, that's

285
00:10:29,964 --> 00:10:31,985
a data security issue as well.

286
00:10:32,570 --> 00:10:35,389
Regulatory compliance, I think that just will increase

287
00:10:35,610 --> 00:10:37,070
and become more complex,

288
00:10:38,170 --> 00:10:40,570
as we go forward, especially with AI and

289
00:10:40,570 --> 00:10:41,070
ML.

290
00:10:42,705 --> 00:10:45,105
That that will add cost certainly to an

291
00:10:45,105 --> 00:10:45,605
organization,

292
00:10:46,065 --> 00:10:47,125
especially to IT.

293
00:10:48,065 --> 00:10:49,960
The implementation costs as well, I think are

294
00:10:49,960 --> 00:10:51,080
gonna be a challenge to a lot of

295
00:10:51,080 --> 00:10:52,059
these new technologies.

296
00:10:52,600 --> 00:10:53,980
When you think about cybersecurity,

297
00:10:55,240 --> 00:10:57,559
I'm seeing some statistics around, you know, the

298
00:10:57,559 --> 00:10:58,059
average

299
00:10:59,184 --> 00:11:01,105
budget for cyber is 4 to 6 percent

300
00:11:01,105 --> 00:11:03,365
of the total IT spend in an organization.

301
00:11:04,544 --> 00:11:07,264
That's going up to a 7 7 to

302
00:11:07,264 --> 00:11:08,404
10% spend.

303
00:11:09,570 --> 00:11:10,070
So,

304
00:11:10,450 --> 00:11:12,289
you know, does your IT budget go up

305
00:11:12,289 --> 00:11:13,889
to account for that, or do you have

306
00:11:13,889 --> 00:11:15,990
to make cuts in other areas?

307
00:11:16,625 --> 00:11:17,924
So that's gonna be interesting.

308
00:11:18,384 --> 00:11:20,485
And also the impact on smaller providers,

309
00:11:21,105 --> 00:11:22,164
they can't afford

310
00:11:22,784 --> 00:11:24,919
a lot of these technologies. So, you know,

311
00:11:24,919 --> 00:11:26,440
what are we gonna do in in those

312
00:11:26,440 --> 00:11:28,379
spaces as well, and how can we help?

313
00:11:29,240 --> 00:11:31,720
Training challenges, you know, the user adoption of

314
00:11:31,720 --> 00:11:34,120
these new technologies, I think, are is gonna

315
00:11:34,120 --> 00:11:34,620
be

316
00:11:35,225 --> 00:11:36,845
interesting. And how do we train,

317
00:11:37,945 --> 00:11:40,924
especially our clinician clinicians to use these technologies

318
00:11:43,600 --> 00:11:45,539
in in a patient care settings.

319
00:11:46,320 --> 00:11:48,559
Data management and the quality of that data,

320
00:11:48,559 --> 00:11:50,820
that's key. As I said, that's gonna drive,

321
00:11:52,295 --> 00:11:53,995
especially the AI and ML

322
00:11:54,774 --> 00:11:56,554
aspects of of what we do.

323
00:11:58,295 --> 00:12:00,215
Just AI if we just touch on AI

324
00:12:00,215 --> 00:12:02,279
and ML just a bit too. You know,

325
00:12:02,279 --> 00:12:03,660
you're hearing a lot about

326
00:12:05,320 --> 00:12:07,899
security around that as well, but also

327
00:12:08,415 --> 00:12:10,995
the ethical use of of that technology

328
00:12:12,095 --> 00:12:14,975
and things like algorithm bias. And and, so

329
00:12:14,975 --> 00:12:16,254
those are the things we're gonna have to

330
00:12:16,254 --> 00:12:16,915
be really

331
00:12:17,389 --> 00:12:18,670
careful and watch over,

332
00:12:19,070 --> 00:12:21,550
as you implement those types of technologies as

333
00:12:21,550 --> 00:12:22,050
well.

334
00:12:22,509 --> 00:12:24,110
And then we've got a bunch of legacy

335
00:12:24,110 --> 00:12:25,245
systems sitting out there.

336
00:12:26,044 --> 00:12:27,164
We gotta figure out what to do with

337
00:12:27,164 --> 00:12:28,445
those. A lot of them fit. A lot

338
00:12:28,445 --> 00:12:28,924
of them don't.

339
00:12:29,804 --> 00:12:32,225
Again, costs associated with doing that. So,

340
00:12:32,960 --> 00:12:34,720
I would say that, you know, from my

341
00:12:34,720 --> 00:12:36,960
standpoint, when we look at the initiatives here,

342
00:12:36,960 --> 00:12:38,639
right now, and I think across the country

343
00:12:38,639 --> 00:12:39,139
that,

344
00:12:39,600 --> 00:12:41,779
probably gives you a pretty good summary of

345
00:12:42,264 --> 00:12:44,585
where we're heading, but also, you know, some

346
00:12:44,585 --> 00:12:46,664
of the challenges involved in it. So I'll

347
00:12:46,664 --> 00:12:47,884
stop there for a minute.

348
00:12:48,664 --> 00:12:50,764
Yeah. Yeah. No. That was a fascinating overview.

349
00:12:50,960 --> 00:12:53,519
Think especially you mentioning just so many different

350
00:12:53,519 --> 00:12:54,419
areas, whether

351
00:12:54,799 --> 00:12:56,639
it's virtual care and looking at how, you

352
00:12:56,639 --> 00:12:59,299
know, that strategy will continue to evolve as,

353
00:12:59,924 --> 00:13:02,424
value based care becomes more prominent and then

354
00:13:02,565 --> 00:13:06,264
talking through artificial intelligence, machine learning, and data

355
00:13:06,539 --> 00:13:09,279
analytics infrastructure that health systems need. I know

356
00:13:09,340 --> 00:13:11,340
a lot of organizations across the country are

357
00:13:11,340 --> 00:13:13,455
in various stages of trying to figure out

358
00:13:13,535 --> 00:13:15,375
what makes the most sense for them, what

359
00:13:15,375 --> 00:13:18,195
investments are are gonna be primary. And,

360
00:13:18,654 --> 00:13:21,389
the most important is they're evolving their organizations,

361
00:13:21,870 --> 00:13:24,029
to really incorporate those tools in a meaningful

362
00:13:24,029 --> 00:13:26,429
way. And then the security piece of it

363
00:13:26,429 --> 00:13:28,850
too. Yeah. I think it's just so fascinating,

364
00:13:29,309 --> 00:13:31,735
to try to pin down, you know, how

365
00:13:31,735 --> 00:13:32,394
you can

366
00:13:33,335 --> 00:13:35,514
continue to build out and create these systems,

367
00:13:36,215 --> 00:13:38,554
that are also then secure and the partnerships

368
00:13:38,615 --> 00:13:41,190
that are going to be most beneficial while

369
00:13:41,190 --> 00:13:41,690
also

370
00:13:42,070 --> 00:13:43,210
understanding the risks,

371
00:13:43,669 --> 00:13:45,509
that are are clearly out there no matter

372
00:13:45,509 --> 00:13:46,764
who your partner is or,

373
00:13:47,725 --> 00:13:48,524
how, you know,

374
00:13:49,004 --> 00:13:50,845
secure it seems at the moment. So I

375
00:13:50,845 --> 00:13:52,285
think it's just been fascinating to hear you

376
00:13:52,285 --> 00:13:54,065
talk about some of those different areas,

377
00:13:55,089 --> 00:13:56,070
in really highlighting

378
00:13:56,529 --> 00:13:57,889
what's top of mind for you.

379
00:13:58,929 --> 00:14:01,250
So that's been really interesting to hear. When

380
00:14:01,250 --> 00:14:03,565
you think about just, you know, that continued

381
00:14:03,565 --> 00:14:06,445
growth, talking about wanting to grow both in

382
00:14:06,445 --> 00:14:08,065
the urban as well as rural setting,

383
00:14:08,445 --> 00:14:11,264
and then obviously add value to Renown overall,

384
00:14:12,410 --> 00:14:14,170
How do you think about that? What's really,

385
00:14:14,649 --> 00:14:16,410
how do those things play together? And then

386
00:14:16,410 --> 00:14:18,009
I I know every helped your dollar is

387
00:14:18,009 --> 00:14:19,384
precious. So how do you,

388
00:14:20,024 --> 00:14:22,665
make sure that as you're growing and making

389
00:14:22,665 --> 00:14:25,065
the right IT investments, you can really show

390
00:14:25,065 --> 00:14:25,804
that return?

391
00:14:27,040 --> 00:14:28,879
Yeah. So I it's a great question. I

392
00:14:28,879 --> 00:14:30,879
mean, you have to be careful because, you

393
00:14:30,879 --> 00:14:32,480
know, you depending on the size of the

394
00:14:32,480 --> 00:14:34,340
organization, you know, you

395
00:14:35,835 --> 00:14:37,615
you can only do so much. Right?

396
00:14:38,875 --> 00:14:41,835
You from a financing standpoint, depending on what

397
00:14:41,835 --> 00:14:44,394
your, you know, your bottom line is, what

398
00:14:44,394 --> 00:14:46,350
you look like s and p, if you're

399
00:14:46,350 --> 00:14:49,149
gonna do debt financing, and what your capital

400
00:14:49,149 --> 00:14:50,750
spends can be. And and, of course, you

401
00:14:50,750 --> 00:14:52,269
have your, you know, your keep the lights

402
00:14:52,269 --> 00:14:53,490
on types of spend.

403
00:14:54,784 --> 00:14:56,705
Every year, you've got to keep your medical

404
00:14:56,705 --> 00:14:59,264
equipment up, new medical equipment coming in certainly

405
00:14:59,264 --> 00:15:02,404
in the IT space around networks and infrastructure.

406
00:15:02,784 --> 00:15:04,519
So you've got all these other costs that

407
00:15:04,519 --> 00:15:06,039
you have to make sure that you account

408
00:15:06,039 --> 00:15:07,980
for before you can do the growth strategies.

409
00:15:08,839 --> 00:15:10,940
So you really gotta focus in on,

410
00:15:11,504 --> 00:15:13,664
you know, what what can you what, you

411
00:15:13,664 --> 00:15:14,944
know, what do you wanna be when you

412
00:15:14,944 --> 00:15:17,904
grow up, but also what what can you

413
00:15:17,904 --> 00:15:19,745
be and what you can't be, right, you

414
00:15:19,745 --> 00:15:20,804
know, based on

415
00:15:21,110 --> 00:15:23,529
where you are from a financial perspective. So

416
00:15:23,670 --> 00:15:25,430
you gotta take that all that into account,

417
00:15:25,430 --> 00:15:27,269
and and we're doing that that here as

418
00:15:27,269 --> 00:15:28,970
well. But you can there's some medication

419
00:15:29,875 --> 00:15:31,815
strategies around some of this that

420
00:15:32,195 --> 00:15:34,215
can help you make the right investments,

421
00:15:35,154 --> 00:15:35,975
going forward

422
00:15:36,514 --> 00:15:38,115
and not try to be all things to

423
00:15:38,115 --> 00:15:38,615
everybody.

424
00:15:40,610 --> 00:15:42,129
And and one of them is is around

425
00:15:42,129 --> 00:15:43,889
if you think about the IT, some of

426
00:15:43,889 --> 00:15:44,389
these,

427
00:15:44,929 --> 00:15:47,284
technologies I talked about is is to really

428
00:15:47,284 --> 00:15:48,664
have a pilot mentality

429
00:15:49,365 --> 00:15:51,784
on everything that you do. So, you know,

430
00:15:51,845 --> 00:15:53,144
don't go all in and

431
00:15:53,580 --> 00:15:55,019
and and really look at the size of

432
00:15:55,019 --> 00:15:57,659
your organization. You know? Most of health care

433
00:15:57,659 --> 00:16:00,299
is not Mayo and Cleveland Clinic and and

434
00:16:00,299 --> 00:16:02,675
Stanford's of the world. Right? Most of health

435
00:16:02,675 --> 00:16:05,575
care is is renowned and smaller. And so

436
00:16:05,795 --> 00:16:07,715
you have to be very careful. You know,

437
00:16:07,715 --> 00:16:09,955
you hear the term chasing, you know, shiny

438
00:16:09,955 --> 00:16:12,379
bright objects all the time. And I I

439
00:16:12,379 --> 00:16:13,160
think CIOs,

440
00:16:13,700 --> 00:16:15,480
a lot of ways, fall into that trap,

441
00:16:15,700 --> 00:16:18,100
especially younger CIOs trying to build up their

442
00:16:18,100 --> 00:16:21,105
their careers and resumes and and

443
00:16:22,044 --> 00:16:22,544
and

444
00:16:23,565 --> 00:16:25,084
and and going for that, you know, kind

445
00:16:25,084 --> 00:16:27,024
of bleeding edge next best thing.

446
00:16:28,204 --> 00:16:30,384
And you gotta be very careful about that

447
00:16:30,670 --> 00:16:32,690
because you can make a break, an organization,

448
00:16:33,710 --> 00:16:36,430
by making the wrong decision on some of

449
00:16:36,430 --> 00:16:39,074
these newer technologies. So I I urge a

450
00:16:39,074 --> 00:16:40,434
lot of CIOs. I do a lot of

451
00:16:40,434 --> 00:16:40,934
mentoring,

452
00:16:41,315 --> 00:16:44,355
that, you know, be very careful about chasing

453
00:16:44,355 --> 00:16:46,454
those shiny bright objects to build your resume

454
00:16:46,659 --> 00:16:48,600
on the backs of the of the organization

455
00:16:49,220 --> 00:16:50,279
that you work for

456
00:16:51,299 --> 00:16:53,139
and really focus on doing the right thing

457
00:16:53,139 --> 00:16:54,980
for the organization. And that will build your

458
00:16:54,980 --> 00:16:57,565
career, not the shiny bright objects. So

459
00:16:57,945 --> 00:16:58,605
the piloting,

460
00:16:58,985 --> 00:17:00,585
and the and the strategy we have here

461
00:17:00,585 --> 00:17:02,585
at Renown is really to see what the

462
00:17:02,585 --> 00:17:04,880
mayos of the world are doing in the

463
00:17:04,880 --> 00:17:07,360
Stanford. I want them to be chasing those

464
00:17:07,360 --> 00:17:07,860
objects.

465
00:17:08,480 --> 00:17:10,640
I want them to be innovative and doing

466
00:17:10,640 --> 00:17:12,454
all that work, And then I wanna stay

467
00:17:12,454 --> 00:17:14,315
close to what they're doing and and

468
00:17:14,615 --> 00:17:16,554
see and and see what works

469
00:17:16,855 --> 00:17:18,855
and what and more importantly, what doesn't work

470
00:17:18,855 --> 00:17:20,839
so I don't fall into that trap. And

471
00:17:20,839 --> 00:17:23,339
then pilot the things that that do work,

472
00:17:23,960 --> 00:17:25,720
or look like they work. And and that's

473
00:17:25,720 --> 00:17:27,410
what we're doing here. We're not afraid of,

474
00:17:28,264 --> 00:17:30,264
some of the newer technologies. We're doing some

475
00:17:30,264 --> 00:17:31,244
things in ambient

476
00:17:31,704 --> 00:17:34,024
listening with our providers that's,

477
00:17:34,744 --> 00:17:36,990
that has a lot of promise rolling that

478
00:17:36,990 --> 00:17:38,210
out right now on,

479
00:17:39,150 --> 00:17:42,369
around clinical content and and productivity for our

480
00:17:42,509 --> 00:17:44,210
our providers and and also,

481
00:17:45,365 --> 00:17:46,404
some virtual nursing,

482
00:17:46,805 --> 00:17:48,644
piloting that we have. But, again, these are

483
00:17:48,644 --> 00:17:49,144
not,

484
00:17:49,845 --> 00:17:50,345
companies

485
00:17:50,724 --> 00:17:51,224
that

486
00:17:52,140 --> 00:17:52,640
are,

487
00:17:53,019 --> 00:17:55,500
just on the market. They've been working with

488
00:17:55,500 --> 00:17:56,320
other organizations,

489
00:17:56,779 --> 00:17:59,599
so we're following that lead. That's okay,

490
00:18:00,059 --> 00:18:00,720
to do.

491
00:18:01,855 --> 00:18:03,455
As a CIO, you don't need to be

492
00:18:03,455 --> 00:18:05,234
on that that leading edge,

493
00:18:06,174 --> 00:18:07,615
unless you do work for,

494
00:18:07,934 --> 00:18:10,130
Aimeo or a Cleveland Clinic or those types

495
00:18:10,210 --> 00:18:10,789
of organizations.

496
00:18:11,170 --> 00:18:11,670
So

497
00:18:12,210 --> 00:18:13,829
so, again, following others,

498
00:18:14,210 --> 00:18:16,710
focus on data quality and security in everything

499
00:18:16,769 --> 00:18:19,734
that you do. Right? So whatever these pilots

500
00:18:19,734 --> 00:18:22,134
are, whether this new technology is, you've gotta

501
00:18:22,134 --> 00:18:24,234
have a data quality program around that,

502
00:18:24,535 --> 00:18:26,535
and you've gotta have a security program around

503
00:18:26,535 --> 00:18:27,670
that as well.

504
00:18:27,990 --> 00:18:29,509
You also have to be able to train.

505
00:18:29,509 --> 00:18:31,910
Right? You've got all these, for example, using

506
00:18:31,910 --> 00:18:33,509
a you've got physicians using,

507
00:18:33,910 --> 00:18:34,410
ambient

508
00:18:34,924 --> 00:18:36,765
listening technology with their patients. How do you

509
00:18:36,765 --> 00:18:38,924
train for that? How do you train IT

510
00:18:38,924 --> 00:18:40,605
to support it? What kind of staff do

511
00:18:40,605 --> 00:18:42,625
you need? So your workforce evaluation

512
00:18:42,924 --> 00:18:45,759
involved in that is super important. And then

513
00:18:45,759 --> 00:18:48,799
the continuous monitoring and evaluation, you know, auditing

514
00:18:48,799 --> 00:18:49,539
your programs,

515
00:18:50,240 --> 00:18:51,539
monitoring your programs,

516
00:18:52,105 --> 00:18:54,424
things that are working continue, things that are

517
00:18:54,424 --> 00:18:55,325
not stop

518
00:18:55,704 --> 00:18:58,105
before they do get too expensive, and just

519
00:18:58,105 --> 00:19:00,904
the evaluation, the constant evaluation of that going

520
00:19:00,904 --> 00:19:02,670
forward. So I think if you put those

521
00:19:02,670 --> 00:19:03,890
kind of mitigation

522
00:19:04,590 --> 00:19:07,390
strategies together around all the you know, whether

523
00:19:07,390 --> 00:19:09,764
it's virtual care, whether data analytics, whether it's

524
00:19:09,764 --> 00:19:10,264
interoperability,

525
00:19:10,724 --> 00:19:12,724
AI, you know, wearable tech. We talked about

526
00:19:12,724 --> 00:19:13,865
all these things, cyber.

527
00:19:14,565 --> 00:19:16,264
If you add in, you know, the piloting,

528
00:19:17,289 --> 00:19:19,529
focus on data quality and security, train, train,

529
00:19:19,529 --> 00:19:20,190
train, train,

530
00:19:20,650 --> 00:19:23,529
continuous monitoring evaluation of every single one of

531
00:19:23,529 --> 00:19:24,029
those,

532
00:19:24,875 --> 00:19:26,634
then you have a, you know, a high

533
00:19:26,634 --> 00:19:27,934
likelihood of success,

534
00:19:28,634 --> 00:19:29,695
in those areas.

535
00:19:30,154 --> 00:19:32,795
If you don't put those mitigation strategies in

536
00:19:32,795 --> 00:19:33,295
place,

537
00:19:34,119 --> 00:19:35,880
then there's a lot of risk involved with

538
00:19:35,880 --> 00:19:37,799
a lot of these newer technologies that are

539
00:19:37,799 --> 00:19:39,559
coming out, and you could end up in

540
00:19:39,559 --> 00:19:41,500
a situation of, you know, spending

541
00:19:42,174 --> 00:19:44,174
money that, you know, you don't have in

542
00:19:44,174 --> 00:19:45,795
an organization on things

543
00:19:46,335 --> 00:19:47,555
that don't actually work.

544
00:19:48,335 --> 00:19:50,515
So so that's that's super important.

545
00:19:51,710 --> 00:19:53,069
That makes a lot of sense. You know,

546
00:19:53,069 --> 00:19:55,230
it's great advice. I think with our last

547
00:19:55,230 --> 00:19:56,829
minute or 2 here, I was wondering if

548
00:19:56,829 --> 00:19:58,269
you could talk about where you see some

549
00:19:58,269 --> 00:20:00,269
of the best opportunities to grow in the

550
00:20:00,269 --> 00:20:01,154
future. What's,

551
00:20:01,634 --> 00:20:03,234
do you see as being really the space

552
00:20:03,234 --> 00:20:03,734
where,

553
00:20:04,195 --> 00:20:06,595
leaders, CIOs, and other health care executives should

554
00:20:06,595 --> 00:20:07,335
lean in?

555
00:20:08,339 --> 00:20:11,140
Mhmm. I I think the biggest the biggest

556
00:20:11,140 --> 00:20:12,820
thing, and we we've already talked about it,

557
00:20:12,820 --> 00:20:13,559
is AI,

558
00:20:14,259 --> 00:20:14,759
AIML

559
00:20:15,140 --> 00:20:16,980
and everything that goes with it, whether you're

560
00:20:16,980 --> 00:20:17,799
talking about

561
00:20:18,244 --> 00:20:20,325
ambient technologies and the things that are kind

562
00:20:20,325 --> 00:20:21,704
of offshoots from that,

563
00:20:22,325 --> 00:20:24,325
along with the, you know, certainly the data

564
00:20:24,325 --> 00:20:26,880
analytics play that goes with that. Because if

565
00:20:26,880 --> 00:20:28,640
you think about it in the next 5

566
00:20:28,640 --> 00:20:29,140
years,

567
00:20:29,839 --> 00:20:31,759
you know, you think about 5 years ago,

568
00:20:31,759 --> 00:20:34,559
what we were doing with AIML even maybe

569
00:20:34,559 --> 00:20:35,539
3 years ago,

570
00:20:36,025 --> 00:20:38,585
and and where what we've done just in

571
00:20:38,585 --> 00:20:40,345
the past couple of years and and where

572
00:20:40,345 --> 00:20:42,904
that whole technology is going. And I know

573
00:20:42,904 --> 00:20:45,070
there's there's certainly a lot of challenges with

574
00:20:45,070 --> 00:20:47,549
it. We talked about the the ethical aspects

575
00:20:47,549 --> 00:20:48,610
of it, safety,

576
00:20:50,964 --> 00:20:52,804
algorithm bias, and things like that that all

577
00:20:52,804 --> 00:20:54,004
need to be worked out. And there's a

578
00:20:54,004 --> 00:20:56,964
lot of organizations, you know, IEEE and some

579
00:20:56,964 --> 00:20:59,329
others that are and even government organizations that

580
00:20:59,329 --> 00:21:00,950
are focusing on that. So

581
00:21:01,329 --> 00:21:01,990
I'm hopeful,

582
00:21:02,609 --> 00:21:04,630
that we, you know, put

583
00:21:05,025 --> 00:21:06,865
a fence around this thing so that we

584
00:21:06,944 --> 00:21:08,565
we're using it in the right way.

585
00:21:08,865 --> 00:21:11,265
But when you think about it, gosh, it

586
00:21:11,265 --> 00:21:12,304
it has the biggest,

587
00:21:12,704 --> 00:21:14,549
impact, I think. You know, when you think

588
00:21:14,549 --> 00:21:16,490
about personalized medicine, right,

589
00:21:16,950 --> 00:21:19,909
and AI and ML impact on personalized medicine,

590
00:21:19,909 --> 00:21:20,809
predictive analytics

591
00:21:21,284 --> 00:21:23,704
and helping clinicians do the right thing for

592
00:21:23,845 --> 00:21:24,904
for their patients,

593
00:21:25,204 --> 00:21:27,384
a huge impact in that area as well.

594
00:21:27,444 --> 00:21:29,065
And you can't forget about research.

595
00:21:30,679 --> 00:21:33,819
AI and ML will play in accelerating research

596
00:21:34,200 --> 00:21:36,059
and getting, you know, pharmaceuticals,

597
00:21:36,440 --> 00:21:38,059
you know, to the market faster,

598
00:21:38,474 --> 00:21:40,575
getting different types of procedures and care

599
00:21:40,954 --> 00:21:43,375
to the market faster back into health care

600
00:21:43,595 --> 00:21:45,775
in a translational way that can be used

601
00:21:46,369 --> 00:21:47,829
a lot faster than,

602
00:21:48,210 --> 00:21:50,150
you know, when you think about the timelines

603
00:21:50,210 --> 00:21:51,349
for research from

604
00:21:51,650 --> 00:21:54,069
beginning basic research to be able to use

605
00:21:54,355 --> 00:21:55,955
whatever comes out of that is like 13

606
00:21:55,955 --> 00:21:57,974
to 15 years same with drugs

607
00:21:58,515 --> 00:22:01,555
and imagine shortening that down to 3 or

608
00:22:01,555 --> 00:22:03,819
4 or 5 years what the impact of

609
00:22:03,819 --> 00:22:05,339
that is gonna be to health care,

610
00:22:06,299 --> 00:22:07,279
you know, across

611
00:22:07,740 --> 00:22:10,139
the across the United States. So to me

612
00:22:10,139 --> 00:22:11,875
that that is where

613
00:22:12,575 --> 00:22:13,234
the focus,

614
00:22:14,255 --> 00:22:16,654
needs to be. And, again, all these other

615
00:22:16,654 --> 00:22:17,795
things I've talked about

616
00:22:18,575 --> 00:22:20,434
aren't of less importance, but

617
00:22:21,279 --> 00:22:23,519
need to, you know, be shored up so

618
00:22:23,519 --> 00:22:24,900
that we can focus on,

619
00:22:25,519 --> 00:22:27,779
some of these other, you know, bigger technologies.

620
00:22:27,839 --> 00:22:28,579
And, again,

621
00:22:29,365 --> 00:22:31,684
again, when we think about AIML too, it's

622
00:22:31,684 --> 00:22:32,585
around cybersecurity.

623
00:22:32,964 --> 00:22:34,404
I think it'll have a big impact in

624
00:22:34,404 --> 00:22:36,325
that area, both good and bad because the

625
00:22:36,325 --> 00:22:38,025
bad actors will use it as well.

626
00:22:38,330 --> 00:22:38,990
And then,

627
00:22:39,769 --> 00:22:41,690
you know, we'll have to respond using these

628
00:22:41,690 --> 00:22:42,670
tools as well.

629
00:22:42,970 --> 00:22:44,890
And so that that'll be interesting to see

630
00:22:44,890 --> 00:22:47,204
how that plays out, but yeah, but that's

631
00:22:47,204 --> 00:22:48,345
why I think it's going.

632
00:22:49,764 --> 00:22:51,764
That's fascinating to hear. Chuck, thank you so

633
00:22:51,764 --> 00:22:53,524
much for joining us on the podcast today.

634
00:22:53,524 --> 00:22:55,369
This has been a really interesting discussion, and

635
00:22:55,369 --> 00:22:56,970
I look forward to connecting with you again

636
00:22:56,970 --> 00:22:57,470
soon.

637
00:22:58,410 --> 00:23:01,456
Absolutely. Thank you. And, I I appreciate it.