Latest / Becker’s Healthcare Podcast / Building a Consumer-Centered Future for Healthcare with Deb Muro
Transcript
- 0:02- There's a version of AI in health care
- 0:04- that lives mostly in press releases,
- 0:06- pilot programs, partnership announcements,
- 0:09- theoretical
- 0:10- use cases.
- 0:11- And then there's the version that lives in
- 0:13- the work, the CIO trying to get a
- 0:15- model into production without breaking a dozen workflows,
- 0:19- the revenue cycle leader weighing automation against accuracy,
- 0:22- the CISO who knows that every new integration
- 0:25- is a new attack surface.
- 0:28- Becker's eleventh annual IT and revenue cycle conference
- 0:31- is built for the people doing that work.
- 0:33- More than 2,500
- 0:35- executive level attendees,
- 0:37- 600 plus speakers,
- 0:39- and four days of sessions designed around the
- 0:41- real operational questions behind
- 0:44- AI, cybersecurity,
- 0:45- revenue cycle performance, and digital health.
- 0:48- Join us September 14 through the seventeenth.
- 0:51- For the agenda and event details, visit beckershospitalreview.com
- 0:55- and click on the events tab in the
- 0:57- upper right.
- 0:59- This is Laura Dirda with the Becker's Healthcare
- 1:01- podcast.
- 1:02- I'm thrilled today to be joined by Deb
- 1:04- Murrow, chief information officer at El Camino Health.
- 1:07- Deb, it's a pleasure to have you on
- 1:08- the podcast today.
- 1:09- Thank you. I'm looking forward to the discussion.
- 1:12- Absolutely. Now I'm excited to talk to you
- 1:15- because I know there's so much happening in
- 1:16- health care right now, and you said really
- 1:18- in a strong position to be talking about
- 1:20- technology space being
- 1:22- so close and in Silicon Valley. But before
- 1:24- we dive in, can you tell us a
- 1:25- little bit more about yourself and El Camino
- 1:27- Health?
- 1:28- Absolutely.
- 1:29- El Camino Health is
- 1:32- been in the community. It was derived from
- 1:34- the community. It was it was really established
- 1:38- in in the late nineteen fifties.
- 1:40- We were actually one of the first organizations
- 1:42- in 1969
- 1:44- that formed a partnership with Lockheed Martin and
- 1:48- developed the first medical information system. So we
- 1:51- are very,
- 1:53- enthralled with innovation
- 1:54- and continuing to be innovative today.
- 1:58- We do serve the community of high-tech,
- 2:01- individuals, and so it really is a a
- 2:04- is a fun challenge and opportunity for us
- 2:06- to deliver high health care in a in
- 2:09- a new and innovative way.
- 2:11- I am actually a nurse. I started my
- 2:13- career,
- 2:15- taking care of patients and have evolved into,
- 2:19- the synergy between the clinician and technology
- 2:22- and how we can make the clinician and
- 2:25- the patient's lives better with technology, and it's
- 2:28- a career that I've really enjoyed over the
- 2:29- last several years.
- 2:32- I love that. I think it's so cool
- 2:33- to have that opportunity and ability to be
- 2:35- on technology side and understand
- 2:37- how all of that works, but then also
- 2:39- to use that as a superpower within the
- 2:40- health care space, which is all about serving
- 2:43- patients and in communities and and keeping people
- 2:45- healthy.
- 2:46- Now, I'm curious. What are the most powerful
- 2:48- forces that you're seeing shape the digital health
- 2:51- and IT landscape for your organization right now,
- 2:53- and how do you see them evolving in
- 2:55- the next year or so?
- 2:57- You know, I love the word that you
- 2:58- use, superpower. Maybe that's two words, but I
- 3:01- love the fact that, you know, you you
- 3:03- coined that phrase. That's a that's a good
- 3:05- one that I'll use in the future.
- 3:07- You know, what I'm seeing in in the
- 3:09- industry
- 3:10- is really a move
- 3:12- for health care to become more retail like
- 3:15- in the way that we approach
- 3:18- those that we serve.
- 3:19- And so as as, you know, the industry
- 3:22- and and I would say the world has
- 3:24- gotten to be much more,
- 3:26- immediate with getting needs met. You know, you
- 3:28- think about now today, we don't go shopping
- 3:31- in stores as much. We have things delivered
- 3:33- to our door that day we order the
- 3:35- the item.
- 3:37- Individuals now are thinking about health care. How
- 3:39- can health care meet the needs
- 3:41- similarly?
- 3:43- So a patient has a need. How can
- 3:45- we address that need today?
- 3:47- And so it and how can we meet
- 3:49- it according to their preferences and what they
- 3:51- would like to see? There's so much multigenerational,
- 3:55- I would say preferences that we need to
- 3:58- address as we're
- 3:59- approaching our patients and and taking care of
- 4:01- their their health care journey. So it's been,
- 4:05- you know, really an opportunity and a challenge
- 4:07- to say, how can we move faster?
- 4:09- How can we meet the needs of our
- 4:11- patients more effectively?
- 4:12- And how can we be very proactive in
- 4:14- the way that we address their care?
- 4:17- This is a great observation. I think especially
- 4:20- within health care, it's so often been, just
- 4:23- a given that, you know, the the,
- 4:26- hospital within the community is a place where
- 4:29- people know and understand what they want and
- 4:32- will go visit. But now it seems more
- 4:34- than ever having patients be treated as consumers
- 4:37- and really folks that you want to,
- 4:40- tailor that experience for is so important. So
- 4:42- what are some of the trends that you're
- 4:43- seeing within that multigenerational
- 4:45- preferences? How do you see different people,
- 4:48- emerging with different ways they wanna experience the
- 4:50- health care system?
- 4:52- So a great example of this is how
- 4:54- a patient will
- 4:55- reach out to schedule care. And, you know,
- 4:59- it there's been this thinking that, well, patients
- 5:01- really
- 5:02- want to see the same provider or the
- 5:04- same physician, and they will wait, you know,
- 5:06- a matter of weeks
- 5:08- for appointment to be scheduled according to the
- 5:10- physician's availability.
- 5:12- And, you know, that may work for a
- 5:14- certain generation or a certain type of patient,
- 5:16- but what we're seeing is as we're seeing
- 5:19- different generations
- 5:21- evolving that
- 5:22- really individuals
- 5:23- don't care as much often if they see
- 5:26- the same physician,
- 5:28- but they do care about being seen today,
- 5:30- sometimes at their lunch break.
- 5:32- And so with our new scheduling platform, we've
- 5:35- we've really tried to tailor that to the
- 5:37- to identify the patient preferences and provide those
- 5:40- for the patient.
- 5:42- For instance, if a patient has a problem,
- 5:45- they can type in the problem,
- 5:47- and then we will present to them various
- 5:49- options. You could,
- 5:51- you know, you could see a a physician
- 5:53- right now over your lunch break in a
- 5:55- virtual visit type of scenario,
- 5:58- or you could go this afternoon to an
- 6:00- urgent care and actually see one someone in
- 6:02- person, and we could schedule that appointment for
- 6:04- you, or you could schedule that appointment online.
- 6:08- Or we could then schedule an on, you
- 6:10- know, an on demand visit, as I mentioned,
- 6:12- during your lunch break.
- 6:14- And then, you know, you could schedule an
- 6:16- appointment with your physician,
- 6:18- and it could be, you know, this week
- 6:20- or next week. So we try to present
- 6:22- these opportunities
- 6:23- for for the patient or the consumer
- 6:26- so that they can choose what works best
- 6:29- for them.
- 6:31- That's a really great example, and thank you
- 6:33- so much for outlining,
- 6:34- that kind of multigenerational
- 6:36- divide and integrate example of, what you can
- 6:39- do with technology to tailor it more towards
- 6:41- those preferences. Now
- 6:43- I'm curious. Can you tell us about a
- 6:46- big chance or a big swing that you
- 6:47- took in the last year that paid off?
- 6:49- What did you do, and what were the
- 6:50- results?
- 6:52- Yeah. Yes. One that came to mind at
- 6:54- this, was the fact that we were
- 6:57- trying to make sure that we were
- 6:59- having surgeries occur as soon as as they
- 7:02- were needed.
- 7:03- And so we've,
- 7:05- we've provided a platform that
- 7:07- will really assess
- 7:09- which surgery,
- 7:11- blocks of time are going to be used
- 7:13- or not used.
- 7:14- We reach out to the surgeon or their
- 7:16- office, and we say, using AI, it's telling
- 7:19- us that we don't think this
- 7:22- block of time is going to be used
- 7:23- for surgeries. Would you like to release that
- 7:26- time?
- 7:27- And then we're able to then shop that
- 7:29- out to other surgeons so that they could
- 7:30- get surgeries scheduled in a faster, more quicker
- 7:34- fashion. This helps patients that may be having
- 7:36- a really urgent need. It's it's not a
- 7:39- critical need, but it's something that,
- 7:41- they want to have done as soon as
- 7:42- possible. And this helps us meet the the
- 7:44- need for the patient and also for the
- 7:46- surgeon
- 7:47- to make them more efficient. And we've seen
- 7:49- that we've brought in a tremendous amount of
- 7:52- of benefit to the organization, not only to
- 7:54- the patient, obviously,
- 7:56- but to the to the organization and the
- 7:58- fact that we keep kept our ORs full,
- 8:01- and it has helped us with some revenue,
- 8:04- that we have, been able to realize.
- 8:07- That's so interesting to hear. And, definitely, I
- 8:10- can imagine complicated trying to arrange those schedules
- 8:13- and and making use of all our time,
- 8:15- which is so so precious. I'm curious for
- 8:18- the physicians as you're implementing this technology,
- 8:21- what was the change management like? I know
- 8:23- in the past,
- 8:24- in some organizations, physicians can be very protective
- 8:27- of their block time. So what did it
- 8:29- look like for you to,
- 8:31- be able to change this process because you
- 8:33- have the technology in place to actually be
- 8:35- more efficient for the patients and organizations overall?
- 8:39- Great question. You know, as we
- 8:41- really talked with our surgeons and our physicians
- 8:44- about this, you know, explaining the why, why
- 8:46- this is important. And and one of the
- 8:48- real benefits that we shared with the physicians
- 8:51- and surgeons is that if we release
- 8:54- a a reserved block of time that won't
- 8:56- be used,
- 8:57- it frees up time,
- 8:59- for surgeons to be able to schedule in
- 9:01- a block of time they normally might not
- 9:03- have used. So the same surgeon that released
- 9:05- a block of time
- 9:06- might be able to find some time that
- 9:08- they needed for a surgery
- 9:10- that was not within their block. So it
- 9:12- really helps them to, you know, we kind
- 9:14- of match the time with the surgeon and
- 9:16- with the patient need so that it's a
- 9:19- win win for all. You know, but we
- 9:21- we really did talk with our, physicians. We
- 9:24- spent time with them explaining. We have a
- 9:26- really strong,
- 9:28- leadership in our surgery area that helped us
- 9:31- advocate with the physicians. And then really the
- 9:34- physician
- 9:34- practices, the clinics themselves,
- 9:37- they're the real individuals that we interact with
- 9:39- on releasing these blocks of time. So we
- 9:41- spent quite a bit of time working with
- 9:43- them. And I think at the end of
- 9:44- the day,
- 9:45- we built the trust and the confidence that
- 9:48- this was gonna actually improve their lives
- 9:50- and their schedules,
- 9:52- when we're all working together to to make
- 9:54- the time effective for all.
- 9:57- That's great to hear, and and thank you
- 9:59- for digging a little bit deeper there. I
- 10:00- know with any project, it takes not only
- 10:02- the technology, but
- 10:04- the, buy in for the adoption of the
- 10:06- teams in, really having that
- 10:09- line explaining
- 10:10- what the benefits are for the clinicians can
- 10:12- be really, really beneficial.
- 10:15- I'm curious now if we're looking ahead a
- 10:16- bit, what's the next most important problem that
- 10:19- you're trying to solve with AI and technology
- 10:21- right now?
- 10:23- You know, I think we're all being asked
- 10:24- to do things faster,
- 10:27- more effectively,
- 10:28- and and to really bring benefit to the
- 10:30- organization. And we know that
- 10:32- there is not enough resources
- 10:34- to do the work that we need to
- 10:36- do for patients. So what we're thinking is,
- 10:39- how do we free up
- 10:40- individuals
- 10:41- to to from the menial task, the things
- 10:44- that could be performed
- 10:45- by an an agent
- 10:48- or artificial intelligence
- 10:50- and really free up the individual, the resource,
- 10:53- the human so that they can provide a
- 10:55- higher level of care for the patient. So
- 10:57- in other words, for our call centers, if
- 10:59- we can implement a GenicAI to
- 11:02- answer the phones, to schedule appointments, to meet,
- 11:05- you know,
- 11:07- questions such as prescription refills,
- 11:10- answer, you know, as I mentioned, answer questions,
- 11:12- and then take the individuals that used to
- 11:15- do that and and maybe,
- 11:17- have them move into care navigation roles
- 11:20- or roles where we reach out to patients
- 11:22- when they've had a new diagnosis and they're
- 11:24- worried and they're anxious to have that human
- 11:26- touch.
- 11:27- We're really wanting to have humans meet with
- 11:30- humans
- 11:31- and and really make a difference in,
- 11:34- how they're impacted by their health care journey,
- 11:36- and we feel like that's going to be
- 11:38- of real value for the future. We're seeing
- 11:41- a big uptick in our community and concierge
- 11:43- medicine, which is very similar that a human
- 11:46- is available for for a patient when they
- 11:48- need help, and we want to provide that
- 11:51- same level of service to our patients in
- 11:53- our community.
- 11:55- Fantastic.
- 11:56- I I love that because there's so much
- 11:58- there.
- 11:59- I know agentic AI is something that is
- 12:02- truly on the cutting edge of what health
- 12:04- care is doing today and trying to figure
- 12:06- out how to make the most of them
- 12:08- and really harness them, for that more of
- 12:11- a workforce that is powered by AI and
- 12:15- can get more done. And interesting too about
- 12:17- the concierge medicine
- 12:19- trend,
- 12:20- is that something you expect to continue?
- 12:22- You know, I think, it will continue because
- 12:25- individuals really need
- 12:27- to reach out and and talk to someone
- 12:29- when they have a problem. And if they
- 12:31- need to be seen
- 12:32- quickly, it's always great to have, you know,
- 12:35- a, a relationship that can help make that
- 12:38- happen.
- 12:39- So I do see that there'll be more
- 12:40- and more trending towards concierge medicine. It will
- 12:44- it is a challenge to buy reimbursement. We
- 12:47- have to make sure that
- 12:48- it is something that is available and available
- 12:51- for a wide swath of patients. We don't
- 12:53- wanna just have it
- 12:54- available for a a set of patients, but
- 12:57- for for the wider community as well.
- 13:01- Absolutely. That's so important. Now,
- 13:04- one more question for you. What are you
- 13:06- most curious about for the future? What are
- 13:08- you hoping to learn more about or interested
- 13:10- and excited to see unfold?
- 13:12- I'm so intrigued by what health care is
- 13:14- going to be like in five to ten
- 13:16- years and and especially
- 13:18- ten years out. As we're thinking about new
- 13:20- facilities and and new ways of
- 13:23- performing health care, I'm thinking about smart rooms,
- 13:26- smart rooms in the patient areas in our
- 13:29- hospitals,
- 13:30- smart clinics,
- 13:31- thinking about how patients can evolve into
- 13:35- a lot of self care and, self scheduling
- 13:38- for appointments. It's gonna be an exciting
- 13:40- time,
- 13:41- and I'm really excited about how we can
- 13:43- be more intelligent with the data and intervene
- 13:46- at the right moments for our patients.
- 13:49- That's amazing. Deb, thank you so much for
- 13:51- joining us on the podcast today. This has
- 13:52- been a really fun and inspiring conversation, and
- 13:55- I look forward to connecting with you again
- 13:57- soon.
- 13:58- Thank you.