Latest / Becker’s Healthcare Podcast / Hospital Safety Ratings Under Scrutiny and What Comes Next for AI with Laura Dyrda
Transcript
- 0:00This is Scott Becker with the Becker's Healthcare
- 0:02Podcast.
- 0:03I am thrilled today to be joined by
- 0:05Laura Dierda. Laura is the editor in chief
- 0:08at Becker's Healthcare.
- 0:10And more than that, she is what we
- 0:12call a ride or die colleague.
- 0:14One of the very best colleagues and professionals
- 0:17I've ever had a chance to work with,
- 0:19incredibly,
- 0:21exuberant in her work effort, her intelligence, the
- 0:24way she connects with the audience at Becker's
- 0:26health care and and and talks to leaders,
- 0:29health system leaders, orthopedic leaders, and a lot
- 0:32more. Laura joins us regularly on the podcast
- 0:35to talk about
- 0:36different trends and issues that she's watching closely.
- 0:39Laura, let let me take it away and
- 0:41ask you, what are a couple of stories
- 0:43that you're watching closely currently?
- 0:46Absolutely. Well, thank you so much, Scott. I
- 0:47really appreciate that. And, you know, definitely, Becker's
- 0:50is such an amazing organization. It's been great
- 0:52to work with you and the whole team
- 0:54here, for for so long, so I appreciate
- 0:56it.
- 0:57I think one of the first things that
- 0:59comes to mind when I look at stories
- 1:00that we're covering closely and, you know, are
- 1:02really important for our audience to understand and
- 1:05see,
- 1:06we recently covered news that a a federal
- 1:09judge ruled on March 6 that the LeapFrog
- 1:12Group's hospital safety grades for five hospitals constituted
- 1:15an unfair and deceptive business practice. So
- 1:18we are are following that story pretty closely.
- 1:21It found that LeapFrog,
- 1:22which typically gives, hospitals and organizations
- 1:25grades a through f based on quality data
- 1:28and the methodology that they developed had deliberately
- 1:32punished hospitals that didn't voluntarily participate in their
- 1:35program by assigning them artificially low scores with
- 1:38no scientific basis.
- 1:40So when hospitals,
- 1:43decide to participate, they're able to promote the
- 1:45LeapFrog grades and market them, and it really
- 1:48gives them an opportunity to show, hey. We
- 1:50got a LeapFrog a. We're a great institution.
- 1:52But on the flip side, if hospitals decide
- 1:54not to participate,
- 1:56they aren't able to market the grades into
- 1:58the same way. And so LeapFrog was really,
- 2:01in a position where they were putting out
- 2:03grades no matter what, and the lawsuit alleged
- 2:06that the methodology,
- 2:08which was implemented in 2024, penalized hospitals that
- 2:11didn't participate in their national surveys,
- 2:13claiming that the lower scores, really unfairly damaged
- 2:16those hospitals' reputation.
- 2:18So under this ruling, LeapFrog withdrew
- 2:21the ratings from five hospital safety grades from
- 2:24the 2024,
- 2:252025,
- 2:27as well as the 2025
- 2:29for five hospitals that were part of that
- 2:31lawsuit. And then,
- 2:33they really had corrective disclosures to all those
- 2:35entities that paid licenses to those grades.
- 2:38But then LeapFrog told us recently as well
- 2:40that,
- 2:41on March 16, they pulled several grades from
- 2:43US hospitals across the board that hadn't participated
- 2:46in a survey. So it's just,
- 2:48very interesting to see some of,
- 2:50the response here and how,
- 2:53they're looking at continuing to figure out what
- 2:55they're going to do,
- 2:57in terms of,
- 2:59sharing some of these
- 3:00grades in in safety and patient safety reports.
- 3:03So it's something that has a ripple effect
- 3:04across many hospitals and systems
- 3:06that did participate as they're,
- 3:08looking at those scores and then those who
- 3:10didn't as well.
- 3:12No. That's a fascinating story in the leapfrog
- 3:15thing because if you didn't reply to the
- 3:17survey,
- 3:17you were sort of graded negatively.
- 3:20And and I think that just is fascinating.
- 3:22And, of course, the judge found it to
- 3:23be unfair
- 3:25And but but it did lead to such
- 3:27interesting dialogue because Leapfrog would publish these list
- 3:30of of hospitals with bad grades,
- 3:33and many of those hospitals, it turned out,
- 3:35never turned in a survey, so they were
- 3:37sort of graded badly by default. Is that
- 3:39a fair assessment, Laura, of what what seems
- 3:41to have been going on?
- 3:42Yeah. Absolutely. And so when the Leapfrog, somebody
- 3:45did not participate in their surveys, they took,
- 3:48information and data from,
- 3:51what that was available from CMS and other
- 3:53sources to configure their grades for those institutions,
- 3:57which may not have been,
- 3:59the same and incomplete information
- 4:01based on, those who did participate in the
- 4:03surveys. And, of course, for the participating
- 4:06organizations,
- 4:07they had to fill out the surveys, and
- 4:09and there was a fee involved too. So,
- 4:12it's it was prohibitive in some ways for
- 4:14those that did not wanna participate or be
- 4:16part of it. And I think another part
- 4:18of the dialogue that we have heard come
- 4:20out too is some of the institutions that
- 4:22did decide to participate,
- 4:24you know, would
- 4:26sometimes be,
- 4:27also graded poorly, of course, based on the
- 4:29methodology. And so I think it was, in
- 4:32some ways for those institutions,
- 4:35hard to justify
- 4:36going through all of that,
- 4:38and then, you know, really getting a bad
- 4:41score on the other side. So it's just
- 4:42such a a fascinating,
- 4:45dialogue and conversation across the board as especially
- 4:48hospitals in in smaller settings or rural settings
- 4:51are,
- 4:52trying
- 4:53to figure out how they can, continue to
- 4:56function and and operate in a strong and
- 4:58meaningful way in,
- 5:00it's just been fascinating.
- 5:01It
- 5:02it it really is. So we're we're following
- 5:04the leapfrog story closely. Just fascinating.
- 5:07What else are you watching closely currently?
- 5:10Absolutely. So something again that we've really,
- 5:14continued to talk with leaders about across the
- 5:16board is just how they're continuing to evolve
- 5:19with technology and artificial intelligence. It's become a
- 5:22lot more nuanced of the discussion over the
- 5:24last year or so in really thinking through
- 5:27what's gonna be impactful for hospitals and little
- 5:30leaders across the board. So based on some
- 5:32of my recent conversations with CIOs and IT
- 5:35leaders, including chief AI officers, analytics leaders, and
- 5:38more, hospitals are really looking at, have spent
- 5:41the last couple of years in pilot mode.
- 5:43So they've been getting vendors in the door,
- 5:45running proof of concept, generating some of the
- 5:47promising numbers in controlled environments,
- 5:50for things like ambient AI and,
- 5:53technology that can really be beneficial
- 5:55for
- 5:56clinical operations
- 5:57as well as the administrative operations across the
- 5:59board. And many of those that they have
- 6:01decided to continue to move forward with have
- 6:03been, in some ways, slam dunks. Most have
- 6:06gotten reasonably good at seeing what pilots are
- 6:09gonna be, moving forward, develop the governance structures
- 6:12that are helping them make those decisions,
- 6:14and then, you know,
- 6:16scaling off the technologies that can have an
- 6:18impact either on the
- 6:20the,
- 6:21clinician
- 6:22time savings, well-being, or,
- 6:25accuracy on the operational side too. But what
- 6:27the industry hasn't really solved for yet, is
- 6:30what comes next, how they can move AI
- 6:32from that demo phase into
- 6:34becoming really part of the fabric of those
- 6:36operational workflows and,
- 6:39continuing to make more sophisticated governance structures as
- 6:43AI evolves. And one of those big reasons
- 6:45why initiatives,
- 6:47right now are stalling a bit is because
- 6:49some of these hospitals and systems have tried
- 6:51to move too fast with the AI technology
- 6:54and and skip the fundamentals in some ways.
- 6:57Health system CIOs I talked to said basically
- 6:59that the biggest myth in AI right now
- 7:02is that the technology is a solution in
- 7:04and of itself.
- 7:05But they argued you can't really deploy an
- 7:07AI model and expect transformation.
- 7:10You have to really define the problem first,
- 7:12who is being affected, what success looks like,
- 7:15whether your data is even ready to,
- 7:18really take on a larger model or
- 7:22the the large language models and and things
- 7:24that are coming through on the data front.
- 7:26So,
- 7:27without that foundation, organizations typically then will generate
- 7:30impressive demos, but they can't bring it to
- 7:32meaningful results on a large scale because there's
- 7:35too much going on, and and,
- 7:37they they aren't able
- 7:39to meaningfully affect that change. And so,
- 7:42the a lot of the leaders today are
- 7:44now looking at what they call kind of
- 7:46an invisible graveyard of AI where they've implemented
- 7:49something that looked like a great idea and
- 7:51on a small scale, and then they bring
- 7:52it to everybody. And, you know, the organization
- 7:55wasn't ready. The data wasn't ready. And,
- 7:58really, the the change never takes off, and
- 8:00it doesn't get implemented into the clinical workflows.
- 8:02And so it's almost never because the algorithm
- 8:05doesn't work. It's just simply that,
- 8:07it didn't fit as well into the broader,
- 8:11workflows of the broader organization. And so the
- 8:14the team largely abandons it. And, obviously, that's
- 8:17not the outcome that anybody wants, whether it's
- 8:19organization investing in it or the companies that
- 8:22are working closely,
- 8:23with that. And so,
- 8:25really, in in 2026,
- 8:27large health systems are trying to move past
- 8:29these pilots and and having lots of different
- 8:31pilots going on and really,
- 8:33focusing in on the things that have the
- 8:35best opportunities to
- 8:37build the infrastructure where they can manage AI
- 8:39at scale, monitor that AI model drift, and
- 8:42then exercise real discipline about what gets deployed
- 8:45and when.
- 8:46So it's just
- 8:48a really interesting time right now for AI
- 8:49and health care. In some ways, more restrained,
- 8:51but in other ways,
- 8:53still, you know, building towards more opportunities as
- 8:56the technology evolves in the future.
- 8:58Thank you so much. And so it's a
- 9:00constant evolution into the technology space and and
- 9:03how is this how systems are using it.
- 9:05Laura, you've been really involved in reading the
- 9:08agenda
- 9:09for the Microsoft Healthcare annual meeting coming up.
- 9:12I know we've got speakers, celebrity speakers like
- 9:16Mark Cuban and president Bush and Troy Aikman
- 9:19and quarterback Fernando Mendoza.
- 9:21But what are you most excited about, and
- 9:24and and what are some of the themes
- 9:25you're most interested in hearing about at the
- 9:27annual meeting this year?
- 9:29Oh, gosh. That's such a great question. And
- 9:31there's a lot I'm excited about, for the
- 9:33annual meeting. I think we've got some really,
- 9:36really dynamic sessions with leaders who,
- 9:38are are at the forefront of of strategy
- 9:41trying to figure out how they're gonna manage
- 9:43a lot of the changes upcoming,
- 9:46in in really truly transforming health care, whether
- 9:49they're looking at,
- 9:50some of the ways that they're bringing more
- 9:52value for their teams as well as their
- 9:54patients,
- 9:55different types of partnerships and collaborations.
- 9:58And, really, I I think it it might
- 10:00be feel overstated,
- 10:02but, making health care more of a team
- 10:04sport and and how they're building a strategy
- 10:07around, you know, the dynamic times we're in,
- 10:09the uncertainty, but teams that could really, you
- 10:12know, be more dynamic, be more nimble, and
- 10:15really make the patient experience better. And so
- 10:18those are the things that I'm really interested
- 10:19and excited about and hearing from leaders, CEOs,
- 10:23and CFOs of the top health systems as
- 10:25well as, you know, kind of boots on
- 10:27the ground with the rural health care too
- 10:29is just such a fascinating time right now.
- 10:31There's a lot of transformation happening in that
- 10:33space, and it'll be just so cool to
- 10:36hear from those leaders of, you know, how
- 10:38they're really meeting the challenges of the day,
- 10:40thinking about the next year, the next five
- 10:41years, and,
- 10:43putting themselves in a position
- 10:45to be successful in that space. So that's
- 10:47what I'm most excited about.
- 10:50Fantastic. No. It's it's fascinating to watch how
- 10:52systems are sort of transforming themselves to to
- 10:55sort of figure out how to mix technology
- 10:57and physicians and nurses to deliver the best
- 11:00care possible and and really take care of
- 11:02our population.
- 11:04Laura, as always, you do a remarkable job.
- 11:06I'm so thankful for you joining us today
- 11:08on the Becker Healthcare podcast and more importantly
- 11:10for your amazing leadership. Thank you to where
- 11:12it teared up for being with us today.
- 11:14Thank you, Scott. It's such a pleasure.