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How Hospitals are Harnessing AI, Tech for Pediatric Care
Bloomberg
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2 months ago
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00:00
I'm sitting in this space. Tell us where we are, because I know when kids have to deal with things,
00:04
it's tough, and it sounds like this is a place that just makes it maybe a little easier.
00:09
That's exactly what this place is designed for. We're in the Hale roof garden on the 10th floor
00:15
of the Hale building. The cardiac ICU that I work in is two and three floors below us,
00:21
because we cover two floors, our cardiac ICU. And we need spaces like this for families to be able to
00:29
step away and really, you know, think and decompress. And for staff, you know, these are very
00:37
challenging, complex patients that we're taking care of in this building. Our neonatal intensive
00:42
care unit is here. Our cardiac ICU is here. We have operating rooms in this building. You know,
00:49
there's a lot of the cath labs are here. So it's wonderful that we can have these magical spaces
00:55
where you can just feel that you're in a pediatric hospital and there's a place to relax and think.
01:02
Can I just say it's like you're sitting on a tree, like a tree bench. There's like, I don't know,
01:07
is this a rainbow? It feels like above us. It's pretty, it's pretty cool.
01:11
You know, Carol mentioned the energy that we feel when we walk into a space such as Boston Children's.
01:17
And we're reminded that it's not just a teaching hospital, a research hospital. It's also a place
01:23
that treats kids from really all over the world. I'm wondering how you prioritize where resources go,
01:31
whether it goes to treating patients right now versus thinking about research, thinking about
01:37
development, thinking about ways to actually help patients in the future versus working with them
01:42
right now. How do you allocate those resources? Well, that has always been part of the DNA of
01:49
Boston Children's Hospital. It's been our mission. We deliver the highest, best quality clinical care.
01:57
Really, that is the foundation of it all. And you see that, you know, the motto of where the world
02:04
comes for answers. There's a lot of complex patients from the Boston area, Massachusetts, New England.
02:10
Obviously, we provide primary services for all levels of care for children in this community.
02:18
However, there are many from across the United States and across the world who really seek that type of care
02:24
and come to us, usually the most complex cases. And I think that's really where we thrive.
02:31
And the other piece of our DNA is the science. We, as you talked in the beginning.
02:37
That makes a difference, right? When there's science involved, I feel like it's, it's practitioner.
02:42
Yes, you're dealing with patients, but it's people who are like, I want to understand how this works.
02:46
That's everybody here. Yeah. That's the doctors. That's the nurses. That's the social workers.
02:52
That's the physical therapists. That's the respiratory therapists. It's the pharmacists.
02:58
Yes. I just could keep going. So I think that's what's, what draws people to work here and to stay
03:04
here. Because that purpose, that we're going to actually change things and we're going to be able
03:09
to find newer ways of doing things. We're going to help more children survive, but also thrive.
03:15
And that takes a real concerted effort. And you need the science here with the clinical.
03:20
One of the things I think when you joined Tim and I back in New York, and listen, everybody's
03:24
talking about AI and I know that. Like, but I think we all are thinking about what it could do
03:30
for medicine and R and D and innovation. And I guess what we're trying to understand too is
03:36
what's the reality of what AI is used within the medical community or R and D specifically?
03:42
Like, where is it today? And you as someone who understands this space so well, and I'm curious
03:48
the conversations you guys have, where do you think it could go?
03:50
Well, AI has been a very important part of Boston Children's Hospital for a long time.
03:57
This isn't something new. We have incredible research groups and an incredible innovation
04:04
team here who've been really standing up AI initiatives for a very long time. We talked
04:10
about some of the work I personally have done in terms of, you know, Virtue Foundation and
04:14
the global health AI mapping and being able to match resources in need.
04:18
You work with firms that are like specifically in AI.
04:22
Yes, with Databricks and Data Robocard, you're building those real platforms that people can
04:27
use. But I think about, for example, when ChatGPT first came out, we had Boston GPT. Immediately
04:34
we were looking to get that behind our firewalls. How can we integrate that? How can we use that
04:38
for real purpose and improving both the care that we can get to patients, but how can we use
04:44
AI to also discover new things? I think the levels of data that we have, and I think you
04:50
talked upon in the beginning in terms of rare diseases, genetic diseases, we are the epicenter of
04:57
that. And we've already been extremely successful in bringing new therapies to market for children.
05:05
But when I look at the infrastructure that we're building, and I think you've had Dr.
05:10
Wendy Chung come and speak, and she's heading up a lot of that work, I think our best days
05:15
are ahead of us. And AI is unlocking that type of potential.
05:20
I like hearing that, the optimism about our best days being ahead of us. And I think about
05:23
just even during your career, how much treatments have changed in a pretty short time. I'm curious
05:29
about the connection between kids and adults and treating children. And of course, if kids are
05:36
healthy, then they turn into healthy adults. But this is a children's hospital that does a lot
05:40
of research. It does a lot of teaching also. Are there learnings that can be taken from what works
05:46
with kids and even applied to a larger population as not just those kids grow up, but as adults also
05:53
need treatment? I think there's two points that strike me there. One is the decisions they were making
05:59
early in life have long-term impact. It's something I've thought about my entire career in the cardiac
06:06
space and in cardiac intensive care. The decisions to have surgery on day two or day four, the decisions
06:13
to use this drug or that drug, all of those things are shaping your long-term self. But it was very hard
06:20
to be able to look at and analyze that type of data until you've opened up big data AI. So I think,
06:26
again, along the lines of our best days are ahead of us, that we're going to be able to see so much
06:32
more through that. And then you said the innovations. Now, many patients that I took care of are adults,
06:40
right? We have this huge growing adult population that we provide care for. Science that's discovered
06:48
here, it's in a pediatric hospital, but it's bringing forth therapies that are actually treating adults.
06:54
So I think it's incredible to see how this innovation engine drives so much.
07:00
If you could change one thing, just got about 30 seconds, if you could change one thing in terms of
07:04
the work that you guys are doing and the R&D that would maybe make it easier, what would it be?
07:12
Make it easier?
07:13
Okay, bad work.
07:16
If you could change one thing, though, that would help you guys in what you're working on. It sounds
07:21
like you don't need, it sounds like you've got a great team. We have a great team, but we're always
07:25
needing support and engagement, and we're just trying to drive the next level and partnerships
07:36
to move in that direction. We are the leading children's hospital, so we're doing well, but
07:42
we're always trying to push the envelope of what we can do.
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