Latest / Becker’s Healthcare Podcast / Reimagining Healthcare Through Health Assurance with Dr. Stephen Klasko

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Reimagining Healthcare Through Health Assurance with Dr. Stephen Klasko · Becker’s Healthcare 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.
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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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- 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,
0:39
- how to protect increasingly complex systems,
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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
- This is Scott Becker with the Becker's Health
1:03
- Care podcast.
1:04
- I am thrilled today to be joined by
1:05
- one of the most innovative
1:07
- minds and people in health care. We're joined
1:09
- today by doctor Steven Klasko.
1:11
- Doctor Klasko's got a long career in health
1:13
- care. He's an obstetrician
1:16
- gynecologist by background. He'll tell us he'll pronounce
1:18
- it correctly. I apologize.
1:20
- But he's also served as the CEO of
1:22
- Jefferson Health. He was the CEO of, I
1:24
- think, one one of the great Florida systems.
1:26
- He's had a fantastic career as a builder.
1:29
- He's also, in the last several years, spent
1:31
- a lot of time both offering books and
1:33
- spending time with the venture capital fund General
1:36
- Catalyst, which is one of the best known
1:39
- venture capital funds in the world and and
1:41
- a very, very busy and successful investor in
1:45
- health care. He he now is taking on
1:47
- a new role. He's had so many interesting
1:49
- roles. And we're gonna talk to him today
1:50
- about this new role with the Health Assurance
1:52
- Foundation,
1:53
- that I think is being sort of sponsor
1:55
- driven between doctor Klasko,
1:58
- Hamant, who's the the leader, the CEO of
2:01
- General Catalyst, and GC. And tell us more
2:03
- about it. Doctor Klasko,
2:05
- take a moment and introduce yourself for anybody
2:07
- who does not know you, which is probably
2:09
- very few people. And then tell us what
2:11
- you're doing, and and what are the goals
2:13
- and what you're looking to do.
2:15
- Yeah. Well, you know, thirty seconds. I'm a
2:17
- DJ, doctor,
2:18
- dean,
2:19
- health system CEO, now,
2:21
- a horse whisperer between the venture capital world
2:24
- and, the traditional health care ecosystem.
2:26
- Scott, it's been great working with you as,
2:29
- as as you start thinking very differently about
2:31
- these things. But it really does become a
2:33
- segue from Jefferson because
2:35
- we became the largest health system in Philadelphia,
2:38
- and it wasn't by trying to compete with
2:40
- the pens and temples on those terms.
2:44
- It was,
2:46
- what if we
2:47
- become a 200 year old academic medical center
2:49
- thinking like a health a a startup company?
2:52
- And what if we are relevant to the
2:54
- 97%
2:55
- of people in Philadelphia that don't wake up
2:57
- in the morning thinking they're patient?
2:59
- They're a person trying to thrive without health
3:01
- care getting away. So
3:02
- that's what led me to my relationship with
3:04
- Hemod. And we wrote a book in 2020
3:07
- called Unhealthcare Manifesto for Health Assurance.
3:10
- For those of you who have followed General
3:11
- Catalyst, every one of our funds since then
3:13
- is a health assurance fund. It's or on
3:15
- health assurance fund 13.
3:17
- So the concept of of the book was
3:20
- we keep calling it a health care system.
3:22
- It's actually a sick care system. It makes
3:24
- money when you walk in already broken. Right?
3:27
- We Hema and I wrote on health care
3:29
- in 2020 to name a different category, health
3:31
- insurance,
3:32
- which back then was a radical idea,
3:34
- you know, that it's not the technology. It's
3:37
- the sign to see people as human beings
3:39
- who wanna thrive, not patients wanting, waiting to
3:42
- get sick. So this is where it comes
3:44
- together.
3:45
- As GC has created amazing companies,
3:49
- a a AI Doc, Hippocratic AI, Lobo,
3:52
- HealthX, you know, literally just around anything you
3:55
- could think of with
3:57
- AI. Hemont's vision was that we'd have sort
4:00
- of
4:01
- we'd be a transformer. So HATCO was developed
4:04
- to be a practical aspect of our theory
4:06
- of health assurance. Called the health assurance transformation
4:08
- company has acquired a health system, Summa in
4:10
- Akron, has several health insurance partners.
4:13
- Take a second, if you don't mind, because
4:15
- not everybody's familiar with with what GC has
4:18
- done with Summa health system. I just happened
4:20
- to be in that area of Ohio and
4:22
- sought some of the Summa,
4:25
- system because I I I was there. But
4:27
- tell people for a second what general catalyst
4:29
- did with Summa and ATCOM because that itself
4:32
- is so unusual and groundbreaking and different than
4:35
- what we've seen over the years. Take just
4:36
- thirty seconds on that if you don't mind.
4:37
- Sure. Sure. It started with Jefferson. Jefferson was
4:40
- the first GC health insurance partner after we
4:42
- wrote the book where I had GC people
4:44
- on my cabinet.
4:45
- And so we were bringing those two worlds
4:47
- together, you know, and they were learning from
4:49
- us, and we were learning from them.
4:52
- So, HATCO became
4:54
- the natural extension of what several
4:57
- partners,
4:58
- with health insurance, but then said, we wanna
5:01
- really prove we can do this,
5:03
- and we wanna do it in Middle America.
5:05
- You don't get more Middle America than Akron.
5:07
- So taking over a few billion dollar system
5:11
- that needed help but was a great system
5:13
- or a good system to begin with in
5:15
- Akron, Ohio,
5:17
- and proving
5:18
- that that combination of the traditional mission of
5:20
- nonprofit
5:21
- health care and what GC is doing can
5:24
- come together. That's that's become a company called
5:27
- the Health Assurance Transformation Company that runs both
5:30
- our partnerships
5:31
- and now this this fully owned health system.
5:35
- This is
5:36
- component was policy, and that was the GC
5:38
- Institute.
5:39
- And tell us about that. So GC Institute
5:42
- is led by an amazing person named, Teresa
5:44
- Carlson.
5:45
- And, again, the goal was
5:47
- to be able to advocate
5:50
- for kicking the right field goal as AI
5:53
- and and health come together. And and we're
5:56
- on both sides of of the parties,
5:59
- have done some amazing
6:01
- work.
6:02
- It it it includes things like, you know,
6:04
- one of the companies I'm on the board
6:05
- of called Paradigm, which is democratizing
6:07
- clinical research that the FDA just did a
6:10
- big announcement with Penn and and,
6:13
- MD Anderson
6:14
- that now literally somebody
6:16
- that isn't wealthy in California can have access
6:18
- to phase one b clinical trials without having
6:20
- to fly to, you know, using AI. So
6:23
- it's done a great job of advocating, you
6:26
- know, for
6:27
- for for, you know, where these things you
6:29
- know, when I get around 2035 as the
6:31
- chief digital health officer president Taylor Swift, where
6:33
- health care is tailored in swift. How do
6:35
- how do we make that happen?
6:36
- And then the third leg of stool was
6:39
- was always meant to be separate from GC
6:42
- because it needs to be.
6:44
- You know? We're we're we're we're
6:46
- a a c four
6:48
- that has a no limits approach
6:51
- to literally the thesis
6:54
- of health insurance.
6:57
- So everything from
6:59
- not will AI replace doctors,
7:02
- but literally how how does AI how do
7:04
- we have the moral imperative of AI doing
7:07
- the 80%,
7:09
- the the other 20% that doctors aren't doing?
7:11
- I mean, so AI doc is a is
7:12
- a good example.
7:14
- That's proven that it can
7:16
- hit that 4% of things that radiologists are
7:18
- doing on Dot Smiths.
7:20
- At what point does that become a moral
7:21
- imperative?
7:22
- Right? I in my in my slides, Scott,
7:25
- I use, my I have a 1968 GTO.
7:28
- I have a windbreaker.
7:30
- Seat belts are a
7:32
- are are an option.
7:33
- So the question is gonna be, what part
7:35
- of AI no longer becomes an option, becomes
7:37
- a a moral imperative?
7:39
- So
7:40
- the the the second piece is, how do
7:42
- we how do we reskill and rewire people?
7:45
- There's no question, you know, AI is going
7:47
- to
7:49
- have some layoffs, have some humans
7:51
- basically not be doing what they did, especially
7:53
- in the administrative areas.
7:56
- So if we think about this thirty years
7:58
- ago, what was the number one job of
8:00
- of of folks' operators?
8:02
- Four one one weather. Literally, oh my god.
8:04
- Gonna be out of a job because there's
8:06
- only two operators now, Siri and Alexa. Right.
8:08
- Well, we got trained in the T Mobile's
8:11
- and the Sprints of the world. But probably
8:13
- the biggest thing for me with with with
8:15
- Health Assurance Foundation
8:18
- is every health care revolution so far, and
8:20
- you've been very articulate with this, has made
8:22
- the wealthy healthier.
8:24
- Telehealth, genomics, concierge medicine. And AI will be
8:28
- the biggest revolution. And if we follow that
8:30
- same path, it'll be the most sophisticated inequality
8:33
- inequality machine in human history.
8:36
- So
8:37
- technology potentially gives us the chance to bridge
8:40
- the divides
8:41
- that threaten this our society. Right?
8:44
- The foundation exists because the default trajectory bends
8:47
- the wrong way and somebody has to bend
8:49
- it back. So why does this need to
8:51
- be a foundation and not a company? Because
8:53
- we wanna look at how this can literally
8:56
- democratize health care. I gave I gave, Paradigm
8:59
- example. Another another thing we're working on is
9:01
- the the trust cliff.
9:03
- You know, there's a company called HealthX, which
9:05
- is working with Microsoft and anthropic
9:09
- to basically make sure patients
9:11
- control their data. You know? Those are all
9:14
- kind of things Well well, talk to talk
9:15
- to us for a second. As you mentioned,
9:16
- obviously, we talked about a lot, which is
9:18
- the supply demand imbalance in health care. And
9:21
- as supply and demand gets out of balance,
9:23
- not enough physicians, not enough access,
9:26
- yes, a 100%. This leads to a complete,
9:31
- misbalancing
9:32
- of health equity because
9:34
- the wealthy people could afford concierge medicine, non
9:37
- wealthy people cannot. And when you have supply
9:39
- and demand imbalances, it it does lead to
9:43
- the more and more health inequity.
9:46
- AI, of course, has the ability
9:48
- to democratize health care in certain ways and
9:51
- talk about how that is some of the
9:53
- foundation of what you're doing and and how
9:55
- if we're not careful whether it does exactly
9:56
- what you're talking about, it leads to more
9:58
- imbalance. For example, some of the precision medicine
10:01
- originally developed,
10:03
- it ends up being so expensive that only
10:05
- really rich people can handle it, you know,
10:07
- and and or pay for when it when
10:08
- it's first being developed. Even with the GLP
10:10
- ones, the pricing is coming down, but you
10:13
- still have health and equity piece of this
10:15
- where, you know, many people could afford two
10:18
- to four hours a month out of pocket
10:19
- to do it themselves.
10:21
- A huge amount of people that make
10:23
- average incomes in America cannot. And so you've
10:26
- got, again, this development that leads to health
10:28
- health inequity. Talk about health assurance foundation and
10:31
- the efforts about of AI
10:33
- and how we to democratize health care, are
10:35
- we trying to solve more of the health
10:36
- equity problems? Yeah. So let me give you
10:39
- an example. And, you know, part of health
10:41
- assurance is is bringing health care at any
10:43
- address, bringing health care closer to home.
10:46
- So let's look at caregivers.
10:48
- According to ARP, something like fifty million Americans
10:51
- provide unpaid care, right,
10:54
- for seniors, family members with Alzheimer's. It's the
10:56
- crisis that nobody talks about.
10:59
- Getting to your point, if you're wealthy, you
11:01
- hire, you know, 12 people and you go
11:03
- on your work. If you're not,
11:05
- it's not an economic story. It's a it's
11:08
- it's a it's a it's a it it
11:10
- creates divorces. It creates you know, I can't
11:12
- go to work.
11:15
- So they're the largest health care workforce in
11:17
- the country, and the system gives them nothing.
11:20
- Where can technology
11:21
- come into play there?
11:23
- Where where can we start to work with
11:26
- the other aspects of GC, the GC Institute,
11:29
- and and HATCO
11:31
- to look at caregivers and how they get
11:33
- paid? Where can we reskill
11:35
- some of the folks that might be,
11:38
- getting,
11:39
- laid off, you know, because, you know,
11:42
- Ambien AI is is replacing them. And then
11:44
- one of the concepts that I've worked on
11:46
- through Health Assurance Foundation is concept of rewiring.
11:50
- You know, I'm 72 years old, Scott.
11:52
- I'm not sitting on a rocking chair. Okay?
11:55
- You know? You know, either personally or professionally.
11:58
- That's true of most
12:00
- folks that are in their sixties, and the
12:02
- concept of retiring is very, very different. So
12:05
- one of the things I'm I'm looking to
12:07
- work with in the health insurance foundation is
12:09
- the concept of rewiring.
12:12
- You you know, you're 65. You either voluntarily
12:14
- or involuntarily no longer, you know, are doing
12:17
- what you did. What do you wanna do?
12:19
- And and how how can what you wanna
12:21
- do
12:22
- literally
12:23
- help health care and and help help help
12:26
- equity or whatever. Most people went into health
12:28
- care, whether administrator or doctor, to help people.
12:31
- And now we can start to look at,
12:33
- you know,
12:34
- not only AI, but helping to fit
12:37
- the humans
12:38
- and the robots in the right place.
12:41
- Does that make Yes. And so as you
12:42
- get started with the Health Assurance Foundation,
12:45
- what does it start to look like on
12:47
- day one? What does it start to look
12:49
- like five years from now?
12:51
- So so I think on day one, it's
12:54
- basically looking at
12:56
- some of the things that I've talked about
12:59
- and turning them into action. And, again,
13:01
- the reason this was set up separate from
13:04
- GDC,
13:05
- you know, even though it's Hemont's,
13:06
- you know, you know, Hemont's the chair of
13:08
- the board,
13:10
- is
13:11
- I don't have any limits. I'm not there
13:13
- to, you know, sell a GC product.
13:16
- I'm not,
13:17
- by definition, representing GC as a venture capital
13:20
- firm.
13:22
- So the things that I wanna work on
13:24
- is,
13:25
- to start,
13:26
- is funding all the things that we've said
13:30
- could happen in 2035
13:32
- if we weren't constrained by the sick care
13:34
- system,
13:35
- by how hospitals get paid, by you know,
13:38
- so, you know, I wrote a I wrote
13:40
- a, op ed for for Veterans Health Care
13:43
- about Tilly Norwood can't scrub in. You know,
13:46
- the AI actress, Tilly Norwood. It was interesting.
13:48
- I think I wrote that editorial a year
13:50
- ago.
13:51
- The the headline of the New York Times
13:54
- Magazine this Sunday was about an interview with
13:56
- Tilly Norwood, the AI actress.
13:58
- So Fascinating.
13:59
- Yes. So so how do we how do
14:01
- we so one of the things I will
14:02
- fund is Humanix Institutes.
14:05
- How do we train better humans
14:07
- than robots instead of training, you know, humans
14:10
- to be good robots? Memorize, regurgitate, follow protocol.
14:13
- There's a, Humanics Institute at Fairway Dickinson University.
14:18
- Fairway Dickinson University is one of the largest
14:19
- universities in New Jersey that doesn't have a
14:22
- medical school
14:24
- that literally wants to create a whole curriculum
14:26
- around emerging health professions
14:29
- and train health care providers around empathy, agility,
14:32
- cultural competence, creativity, and cultural thinking.
14:36
- Instead of a curriculum that's, you know, can
14:37
- you memorize the prep cycle?
14:40
- It talk about how
14:42
- that medical education,
14:44
- which was built so much around and and
14:46
- you've talked extensively to one of our children
14:48
- who's in medical school. And so I see
14:51
- it firsthand the amount of, rote memorization,
14:55
- just pure hours and stuff like that that
14:57
- that medical education has not been revamped in
14:59
- a very long time.
15:01
- Will there be applications to medical education?
15:04
- Physicians as well, not just emerging health care
15:06
- professionals.
15:08
- So I am one of the things that
15:09
- we will actually
15:11
- work on,
15:12
- and one of the first things in day
15:13
- one. I'm working with the CEO of a
15:16
- major academic medical center, a top 30 academic
15:19
- medical center that wants to actually go to
15:21
- the ACGME
15:23
- and have one of its slots in three
15:25
- different specialties, DNAI
15:28
- Yeah. And actually work with humans. The three
15:30
- specialties are radiology, pathology, and family medicine.
15:34
- And it's not literally replacing humans.
15:36
- It's literally like, you know, we have 15
15:38
- radiology residents. I want one of 14, and
15:41
- I want one to be an AI. We'll
15:43
- go to the same grand rounds. We'll talk.
15:45
- That's where you start you know, the beautiful
15:47
- thing about the health assurance
15:49
- Foundation is think about all the knowledge I
15:52
- can gain
15:53
- about what robots and humans should be doing
15:57
- through that residency.
15:59
- On the medical school side,
16:01
- about
16:02
- twelve years ago, when I was the CEO
16:04
- and dean at University of South Florida, we
16:06
- started a program called Select, where we took
16:08
- 56 students a year and chose students based
16:10
- on self awareness, empathy, communication skills, and cultural
16:13
- competence. And you're right. I've talked for those
16:15
- twelve years about how asinine it is that
16:17
- we still
16:19
- select all our physicians based on science, GPA,
16:21
- med cats, and organic chemistry grades, and we're
16:23
- amazed doctors can't aren't more empathetic, community driven,
16:26
- and creative. When I got my MBA at
16:28
- Wharton, they had basically
16:30
- segmented the class because because they recognized we
16:32
- don't just wanna create hedge fund finance people.
16:35
- We also wanna create leaders in in nonprofits,
16:38
- etcetera. That's what we need to do, Scott.
16:41
- And that's where I think we can bring
16:42
- the AI and the humans together and make
16:45
- sure that
16:46
- technological literacy, data literacy, and human literacy
16:51
- are core to to to medical education curriculum.
16:55
- Take a moment, doctor Clesco.
16:57
- If you don't mind, one of the things
16:59
- that's fascinating is
17:00
- Hemant and Asia
17:02
- and your partnership,
17:04
- and Hemant generally
17:06
- and maybe talk because because some of the
17:08
- things that you're doing
17:10
- with HATCO, with General Catalyst Institute, with the
17:13
- Health Insurance Foundation,
17:15
- outside of the incredible
17:17
- business success, investment success, and sort
17:20
- of incubator pioneering success that Hemant has had,
17:23
- are just so
17:25
- broad thinking and and so fantastic.
17:28
- Talk about a Hemant and you and how
17:30
- you got to this spot, because it it
17:32
- seems like just an incredibly, like, sort of
17:34
- you look at Marc Andreessen and Andreessen Horowitz
17:37
- did this incredible job of developing the Internet
17:40
- and Netscape before it was a thing. So
17:42
- he brings a certain vision to so many
17:44
- technological things.
17:46
- It it tricks that Hamant brings this this
17:48
- vision in health care to so many of
17:50
- the things that he looks at and does.
17:52
- How does that happen? And talk about
17:55
- the import of a catalyst like that, a
17:57
- person like that with yourself
17:59
- in driving towards these new ideas.
18:02
- Yeah. So I I think look. I think
18:04
- it starts with and it's really an important
18:06
- conversation for for health system
18:08
- leaders that are that are listening to this.
18:10
- It starts with the board, the CEO, and
18:13
- the mission.
18:14
- Right? I mean, when we changed our mission
18:17
- at Jefferson
18:18
- from being the premier academic medical center of
18:20
- Philadelphia, which really nobody cares about other than
18:22
- me and my mother, And we're we're sitting
18:24
- in a city with Penn and Tempo and
18:25
- others, so, like, you know, probably an unattainable
18:27
- goal depending on who we're gonna be a,
18:29
- you know, a a a 200 year old
18:32
- academic medical center thinking like a start up.
18:34
- That changed everything. How we pay people, that
18:37
- changed by board. And when you think about
18:39
- the 40% or so of health systems are
18:41
- losing money, I have a cartoon in my
18:43
- talks. It's got a board that says, instead
18:45
- of trying anything new, let's continue our slow
18:47
- decline to obsolescence.
18:49
- So the the the Hemont in Asia story
18:52
- starts with a board that is led by
18:53
- Ken Chen, who,
18:55
- you know, was was, you know, the the
18:57
- CEO
18:58
- of American Express that turned American Express from
19:01
- a credit card to a lifestyle that made
19:03
- sure everybody, you know, regards to their ability
19:05
- to pay, you know, could could start to
19:08
- live that lifestyle. That was his his thing.
19:11
- Bring Hemont becomes the CEO,
19:14
- does what he did with Jefferson. And Hemont's
19:17
- thing
19:18
- is literally, we don't wanna be a VC
19:21
- just creating companies.
19:22
- You know, we call it venture beyond. We
19:25
- wanna create a flywheel
19:27
- that is literally transforming health care and transforming
19:29
- health care in a way so much of
19:31
- health care, Scott, was built for insurers,
19:35
- hospitals,
19:37
- PBMs,
19:38
- pharma,
19:39
- not for not for people.
19:42
- You know, a a 100%. I mean, you've
19:44
- got you've got let me ask some subsidies
19:46
- running through the system that have caused tremendous
19:48
- inflation
19:49
- that that are very hard to change because
19:51
- we're so reliant on them, but we all
19:53
- know they've caused crazy amounts of inflation as
19:55
- well in health care. And it's really designed
19:58
- for not it it's it's it's if it's
20:00
- designed for the patient, it's designed very poorly
20:03
- for the patient. It it's designed So we've
20:05
- never moved through the patient. Just like Right.
20:07
- We could do an amazing job, but it
20:09
- was designed originally to be a billing and
20:11
- compliance
20:12
- thing. So we can't complain that it's a
20:14
- billing and compliance thing. Now Judy's done an
20:17
- amazing job of having to be beyond that.
20:18
- So Hemont, you know, Hemont has that sort
20:21
- of combination of sort of Steve Jobs of
20:23
- thinking about what's gonna be obvious ten years
20:24
- from now and doing it today, but really
20:26
- a very almost
20:28
- nonprofity
20:29
- mission of improving lives.
20:31
- You know, part of the the Jefferson
20:34
- vision was we'll reimagine health care education and
20:37
- discovery to improve lives. And I think he's
20:39
- really looked at GC that same way, which
20:42
- leads to why I think he asked me
20:44
- to be the CEO
20:45
- of this nonprofit that's not an arms length
20:47
- firm because, you know, you know, there's only
20:50
- so much you can do under the pressure.
20:52
- It's just like there's only so much I
20:53
- could do as 100%.
20:55
- There's only so much you can do. You
20:56
- know, you have all these Portcos. You have
20:58
- all these LPs that you know? But now
21:02
- the person that cowrote the book with them
21:05
- has this greenfield
21:07
- that's funded to be able to, you know,
21:11
- literally take what we we dreamed of in
21:13
- the book and think of how do we
21:15
- get from 2026 to 2035, whether it's about
21:18
- equity or how AI and humans work together
21:20
- or how it's the the the kind of
21:22
- jobs we don't think about, like community health
21:24
- workers and and and and caregivers, or whether
21:27
- it's how do we do the right kind
21:29
- of longevity and health span and not the,
21:32
- you know, spend $30,000 in a hyperbaric chamber,
21:35
- but have people, you know, live a better
21:37
- life longer. I'm working with, Nir Barzila, who
21:40
- wrote the book Age Later,
21:41
- is the head of the American Academy of
21:43
- Gerontology.
21:44
- You know, how do we look how do
21:46
- we learn from global systems, which we don't
21:48
- do enough in in health care? You know,
21:50
- what's Singh Health doing, for example? And that's
21:52
- where my future of health and and Sheba
21:54
- stuff comes in. So I'm gonna be able
21:56
- to really
21:57
- provide grants and and bring in dollars of
22:00
- people that really wanna
22:02
- prove that it can be done and create
22:04
- proof points. That's the Yeah. The health and
22:06
- shortest foundation point.
22:08
- Doing proof I I I'm a huge fan
22:10
- of what you're doing and what Hemant is
22:12
- doing, and you're absolutely right. In running GC,
22:16
- certain responsibilities to investors there to make sure
22:18
- he gets the returns for those investors so
22:20
- they keep on
22:22
- making GC successful.
22:24
- But then, also,
22:25
- there there's a certain need to solve problems
22:28
- outside of the for profit sector
22:30
- for for longer term thinking, for for for
22:33
- trying to look at things. And I and
22:34
- I I love the I I love the
22:36
- commitment of yourself, GC, Hamant,
22:39
- towards these different initiatives, which are so
22:43
- different
22:44
- and so exciting. Like, I I love the
22:46
- opportunity at Summa to use that as almost
22:49
- a laboratory for all these different ways to
22:50
- improve health care in a way that most
22:53
- people wouldn't have thought of that or or
22:55
- look to do that. And that's hard work
22:56
- to get from point a to point b
22:58
- for all kinds of reasons, but but really
23:00
- a phenomenal laboratory. And I love what you
23:02
- do at GC Institute, and and I'm I'm
23:04
- so excited about what you're doing here. But
23:06
- when you think about this, doctor Glasgow,
23:09
- is you get started with this new opportunity
23:12
- that I love this concept of rewiring and
23:14
- you're you've constantly
23:15
- one of the things that's been beautiful about
23:17
- watching yourself is you've been a very steady
23:19
- hand in leadership for a long period of
23:22
- time in a lot of places.
23:23
- We're constantly
23:24
- also
23:25
- looking at opportunities
23:28
- to have an impact and to rewire as
23:30
- you go forward. I think it's a remarkable
23:32
- set of qualities.
23:34
- As you get started here,
23:36
- what are you most focused on, most excited
23:38
- about it as you get going here? Because
23:40
- this is a huge undertaking and very exciting.
23:44
- What are you most focused on and excited
23:46
- about as you get started?
23:47
- Yeah. I I think, you know, this is
23:49
- the first show I've had a while where
23:50
- I have sort of butterflies in my stomach
23:52
- because, you know, the the, you know, the
23:54
- key is what I'm most excited about is
23:59
- whether it's
24:01
- in the New York Times or whether it's
24:03
- in Becker's Healthcare or whether it's at every
24:06
- conference,
24:07
- we're talking about how we get care
24:10
- closer to patients
24:11
- regardless of their language, regardless of their socioeconomic
24:15
- piece, you know, where that that makes things
24:18
- easier like we have had for every other
24:21
- sector
24:21
- and doing that in a way that's that's
24:23
- equitable, that's more efficient, etcetera.
24:26
- And then every article is about is AI
24:29
- gonna be the solution,
24:30
- or is that gonna just, you know, lay
24:32
- off people?
24:34
- The ability to take everything I've learned,
24:37
- you know, in forty years as a health
24:39
- care leader and somebody who's delivered 1,200 babies
24:42
- in a community hospital
24:44
- that's worked with literally the top venture capital
24:47
- firm and say, let's answer some of those
24:50
- questions.
24:50
- Let's answer some of those questions with real
24:53
- proof points, not philosophy,
24:55
- not op eds,
24:56
- you know, real proof points, and see what's
24:59
- working and what isn't working
25:00
- in a way
25:02
- that literally looks at how humans use AI
25:05
- instead of AI using humans,
25:08
- about what the moral imperative is, whether it's
25:10
- a GC company or another company of, one
25:13
- of the things I'm gonna work on is
25:14
- a revised Hippocratic oath.
25:17
- You know, if if some of this stuff
25:19
- exists,
25:20
- how can we not be using it? You
25:22
- know, I I recite Hippocratic Oath every year
25:24
- and it's you know, that I won't inappropriately
25:26
- touch a patient, which is a pretty low
25:27
- bar.
25:28
- You know, how do we how do we
25:29
- how do we start to think about what
25:31
- do we need to do in an era
25:33
- of technology?
25:34
- What you've brought up is how do we
25:36
- start to select
25:37
- medical students and and and other health care
25:40
- professionals to be better humans than the robots?
25:42
- What are the new jobs
25:44
- that'll be needed ten years from now that
25:46
- don't exist today? And how can I work
25:47
- with, you know, universities and health systems to
25:49
- create those jobs? So if you think about
25:51
- it, you'd have to create the curriculum. You'd
25:53
- have to get people through. That's gonna be
25:55
- ten years before those sort of people will
25:57
- get out. Those are all things. So so
25:59
- but I'm what I'm gonna start out with
26:00
- with is
26:02
- is so that it isn't too greenfield. It's
26:04
- just two or three things
26:06
- around,
26:07
- you know, caregivers,
26:09
- you know, around things that are home that
26:11
- that matter and who we can work with,
26:13
- whether it's the ARP or whatever,
26:15
- around sort of Humanix institutes,
26:18
- and around some of that rewiring
26:21
- and reskilling
26:22
- that that will be necessary for health assurance.
26:25
- Well, we we we love it. I mean,
26:26
- we obviously watch I mean, not obviously, but
26:29
- my mother
26:30
- who's in her late eighties does a huge
26:32
- amount of the caregiving for my father who's
26:34
- 92, 93,
26:36
- you know, who's got dementia and Alzheimer's issues,
26:38
- stuff like that. And it is, as you
26:40
- say,
26:41
- a a full, full time job for her
26:43
- and, you know, and and really challenging. And,
26:46
- you know, when you extrapolate that
26:48
- across the rest of the country and how
26:50
- many different situations there are like that,
26:52
- where a caregiver,
26:54
- it could be a middle aged person, it
26:55
- could be a young person, it could be
26:56
- an old person taking care of another person
26:57
- or people.
26:59
- And there's just an amazing amount of and
27:01
- that causes so much disruption in life and
27:03
- other things that people could do or make
27:04
- a living and so forth. I look at
27:06
- things you talk about. We're we're, you know,
27:08
- obviously,
27:09
- we're in Ubers a lot, and and so
27:11
- many people in our nation make their living
27:13
- driving cars. And you look at the automation
27:16
- of of driving,
27:18
- and, clearly, there may be some improvements in
27:20
- the long run for sure in the safety
27:21
- of driving. No question. But you have to
27:23
- look at the human impact of taking millions
27:25
- of people out of how they partially make
27:27
- a living. And and what does that mean
27:29
- for them, and what are they gonna do?
27:30
- You know? You know? And it's it's fascinating
27:32
- to watch, and it's scary as heck.
27:34
- Scott, the story of your mom
27:36
- is the trifecta
27:38
- of health insurance. This is what I mean.
27:39
- It's how do we make sure the caregivers
27:42
- are compensated?
27:43
- Because that's a big part you know, that
27:44
- falls into,
27:45
- you know, the good parts of Make America
27:47
- Health Healthy Again. You know? Like, literally, that
27:49
- falls into,
27:50
- you know, why are we waiting till people
27:53
- come to the emergency room when we could
27:54
- take care of them at home? That's part
27:55
- of the health story. So that's one piece
27:56
- of the trifecta.
27:58
- The second piece of of the trifecta
28:01
- is literally,
28:02
- well, we need people to do this in
28:04
- a more sophisticated way and work with AI.
28:07
- Oh, okay. So some of these people that
28:08
- are getting laid laid off can now go
28:11
- and in a very positive way impact people
28:14
- like your your your your mom who are
28:16
- caregiving.
28:17
- And then the third piece of it, of
28:19
- the trifecta, is the AI.
28:21
- Because, you know, my view of the world
28:24
- is that you'll have a robot next to
28:26
- that caregiver that will be checking the wearable
28:28
- and checking a lot of the things better
28:30
- than any human could. The example I give
28:32
- is as an obstetrician,
28:34
- the whole memorization piece is s nine because
28:37
- it used to be that if I knew,
28:39
- you know, every genetic problem could have when
28:41
- I deliver a baby,
28:42
- then I was a better obstetrician than than
28:44
- you were. But, literally, if I deliver an
28:46
- unscheduled down syndrome baby, the first question that
28:48
- patient's gonna ask is, you know, what does
28:50
- it mean?
28:52
- The robot or the or the very
28:54
- good doctor can say about the twenty first
28:56
- chromosome or the medical complications. But what does
28:58
- it mean means what does it mean in
29:00
- my image of a perfect baby?
29:02
- And the robot will be better than any
29:04
- human at taking a picture of that baby
29:06
- and saying, here's what's wrong. Right. And here's
29:08
- what you can do about it. Say, this
29:09
- is a beautiful baby, and I'll get you
29:11
- together with other people who have beautiful babies
29:12
- like this. You know? And that thirty seconds
29:14
- out of that mom and dad imprints. So
29:16
- that's what that's what I wanna
29:18
- really start to create proof points around,
29:20
- you know,
29:22
- your mom and other and the the literally,
29:25
- probably millions and millions and millions and millions
29:27
- of Americans
29:29
- that said, boy, if we could solve that,
29:32
- that's AI and humans working together. And so
29:34
- that that's an example of what we will
29:36
- do,
29:37
- you know,
29:38
- going in and raising money for and giving
29:40
- grants for and, you know, and, you know,
29:42
- because it's a two way street. We'll be
29:44
- raising money. We'll be giving grants and, you
29:46
- know, we'll be we'll be, you know, doing
29:47
- what you know?
29:49
- We're tremendously excited
29:51
- about what you're doing and to watch how
29:53
- this goes. We know it'll go great. We're
29:55
- we're we're so thrilled
29:57
- that you, Hemant, GC,
29:59
- that you're leading this in in just a
30:01
- fantastic
30:02
- effort.
30:03
- Doctor Klasko,
30:04
- I want to thank you for joining us
30:06
- today on the Becker's Healthcare podcast. I'm hoping
30:08
- this is the first of many conversations about
30:10
- the Health Assurance Foundation,
30:12
- and watch us grow and develop and have
30:14
- the impact it needs to have. Scott, thanks.
30:16
- And I think one of the things I'd
30:18
- like to do, like I did with Jefferson,
30:19
- is do creative partnerships. So, you know, things
30:21
- like the Gates Foundation, the McKinsey Institute, you
30:24
- know, literally, the goal, just like we said,
30:26
- you know, hey. We need to work with
30:27
- our competitors. We work with Penn or Philadelphia
30:29
- Cloud Equity. I'm excited
30:31
- about working with you and working with other
30:34
- other nonprofits,
30:36
- you know, that are that are looking at
30:37
- some of the same things maybe from a
30:39
- different angle.
30:41
- We we would love to. We're we're very
30:42
- excited about it, and we're thrilled about what
30:44
- you're doing. Doctor Glasgow, thank you so much
30:46
- for joining us today. I'm looking forward to
30:48
- visit with you again shortly. Thank you.