The Future of Digital Health: AI, Data, and Telemedicine Innovations — Transcript
Full transcript
- 0:00Well, first of all, thanks very much
- 0:02indeed for chatting to us today.
- 0:04Delighted to be here. Thanks.
- 0:05So, we're all we're all digital health
- 0:07people these days, aren't we? We're all
- 0:08wearing our watches, we've all got our
- 0:10devices, but what is digital health?
- 0:12I mean, digital health is using digital
- 0:14tools to deliver health care, and you
- 0:16know, it started with electronic health
- 0:17record, now it's AI tools and digital
- 0:19apps and all sorts of things, and
- 0:21there's a lot of promise, certainly for
- 0:23digital health, and I think we're going
- 0:24to see more and more promising tools
- 0:26coming in the marketplace.
- 0:27What are some of the biggest
- 0:28innovations? What are some of the
- 0:29biggest changes that we've seen in
- 0:31health care and particularly in
- 0:33psychiatric health care?
- 0:35Well, certainly as digital health
- 0:37changes the landscape, you know,
- 0:39telemedicine has exploded, and because
- 0:43of the pandemic, we probably had 10
- 0:44years of progress in 6 months through
- 0:46the adoption and use of telehealth in
- 0:48particular, and that has been a
- 0:50game-changer for psychiatry. It's
- 0:52improved access, it's improved
- 0:53accessibility. In the US, we've got
- 0:56pandemic flexibility extensions through
- 0:58the end of calendar 2024, and in my role
- 1:00as president of the AMA, we're
- 1:01continuing to push for those
- 1:02flexibilities to be permanently extended
- 1:05so that patients can have access to
- 1:06telepsychiatry and other telehealth
- 1:08platforms, hopefully for the long run.
- 1:11So, what about data? I mean, we must be
- 1:13pretty good now at using data, storing
- 1:16data. So, so how could this data come
- 1:18into this?
- 1:19We've gotten better. We're not there
- 1:20yet. Obviously, a lot of the algorithms,
- 1:23the promising AI tools, are all fed and
- 1:25rely on data, and having data standards,
- 1:29making sure the data is interoperable,
- 1:31is a core piece of the AMA's digital
- 1:33strategy to make sure that these tools
- 1:35actually work for patients and
- 1:36physicians. But even if you look at an
- 1:38important space like the social
- 1:40determinants of health, we talk about it
- 1:42all the time, but the data standards
- 1:44around how do you know if a patient has
- 1:46housing insecurity? How do you know if
- 1:48this a patient has access to
- 1:50refrigeration for medications that they
- 1:51might need at home. Right now, we still
- 1:53don't have clear, consistent
- 1:55documentation fields in our electronic
- 1:57health records. So, we're working with
- 1:59the Gravity Project as one way to try to
- 2:01bring the standards forward to improve
- 2:03how we collect data and then ultimately
- 2:04how we can use it.
- 2:06Well, the other issues with data though
- 2:07isn't it safeguarding data? Is that a
- 2:09big issue?
- 2:10You know, there's a lot of concern
- 2:11particularly with the huge cyber attack
- 2:13on United Healthcare Change Healthcare
- 2:15which probably a third of all Americans
- 2:17healthcare data has been exposed about
- 2:20how do we truly keep patient privacy and
- 2:23how do we make sure that we protect from
- 2:24cybersecurity? There is no answer to
- 2:26that and I think we all have a lot of
- 2:27anxiety to make sure that we protect
- 2:29particularly sensitive details from a
- 2:31patient's health record.
- 2:33What about AI? Everybody every
- 2:34conference every meeting I go to
- 2:36everybody wants to talk about AI. So,
- 2:38how does AI affect digital health?
- 2:40We are at the peak of the hype curve. We
- 2:43are in an AI era. It is everywhere. I
- 2:45can't go an hour without asking about
- 2:47ChatGPT or large language models. Um AI
- 2:51is going to be helpful. It is used in
- 2:5340% of practices in the US today, but
- 2:56it's not the sexy stuff. It's supply
- 2:58chain management. It's billing. It's
- 2:59scheduling. It's those back end office
- 3:01operations where if there is a mistake,
- 3:04it's not the end of the world. The
- 3:05clinical applications, the therapy
- 3:08chatbots, uh the prescribing decision
- 3:11support tools, those things are coming.
- 3:13What they will mean for practice, I
- 3:14don't know, but I do know one thing. AI
- 3:16will not replace psychiatrists, but
- 3:18psychiatrists who use AI will replace
- 3:20those who don't.
- 3:21It's a pretty bold statement though to
- 3:22say that AI won't replace psychiatrists.
- 3:25How do we know that?
- 3:26So, it's clear to me that when I'm sick,
- 3:29when I'm hurting, I want a person
- 3:32to be able to touch my shoulder, to be
- 3:34on the other end of directing my care.
- 3:38And computers will never replace that.
- 3:40We know that there's something so
- 3:41foundational about the profession and
- 3:43the practice of medicine, it's about the
- 3:45humanity that we bring in the care that
- 3:48we deliver.
- 3:49A last question is I Now, I to encourage
- 3:50you to look into a crystal ball, Jesse,
- 3:53and I want you to tell me what do you
- 3:54see are the biggest innovations
- 3:55happening over maybe the next 5 years?
- 3:57Scalability. So, we have a healthcare
- 4:00workforce crisis. There's a crisis in
- 4:02psychiatry, there's a crisis in
- 4:04behavioral health, there's a crisis in
- 4:06all of healthcare. 83 million Americans
- 4:08do not have access to primary care. 125
- 4:11million Americans do not have access to
- 4:13behavioral health services. The only way
- 4:16we're going to solve this is not by
- 4:17opening a thousand new medical schools.
- 4:19That will never happen. It's only by
- 4:21leaning into technology to scale the
- 4:23capacity of our existing care teams by
- 4:25augmenting and boosting our
- 4:27capabilities.
- 4:28Well, thank you very much for joining us
- 4:29today. Fascinating stuff. Thank you.
- 4:31Thanks.
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