Generative AI in Healthcare: Current and Future Applications
Summary
TLDRDr. Eric Bricker's video discusses the current applications of generative AI in healthcare, emphasizing its utility in documentation, reducing physician workload by creating notes through ambient listening devices. He also highlights AI's role in streamlining prior authorizations with automated letters to health insurance companies and its potential in searching and summarizing complex insurance documents and medical records, with tools like Unriddle AI and Google's partnership with Mayo Clinic, enhancing efficiency in patient care.
Takeaways
- 😀 Generative AI is currently being used in healthcare to improve efficiency and support professionals in documentation and other tasks.
- 📝 Documentation is a significant burden for healthcare professionals, with 62% of doctors' time spent on electronic medical records rather than patient care.
- 🎤 Ambient listening devices combined with AI can transcribe doctor-patient conversations into medical notes, saving doctors time and improving workflow.
- 🏥 Companies like Deep Scribe are already implementing AI for medical note transcription, saving up to three hours a day for doctors.
- 📄 Prior authorizations for medical procedures can be streamlined using AI to generate letters to insurance companies, saving time and effort.
- 💡 AI can be used to search through dense documents like insurance plans and medical policies, making information more accessible and understandable.
- 🔍 Unriddle AI is a tool that can read and summarize PDFs or answer specific queries about documents, useful for understanding insurance coverage.
- 🤖 AI's ability to search medical records can assist clinicians in quickly understanding patient histories, especially in complex cases or emergency situations.
- 🤝 Partnerships like the one between the Mayo Clinic and Google are exploring how AI can analyze and summarize vast amounts of patient data.
- 🚑 In emergency rooms, AI could potentially provide quick summaries of patient medical records, aiding in faster and more accurate diagnoses.
- ⚠️ While AI offers many benefits, it's important to note its limitations, such as the potential for inaccuracies and the need for fact-checking, especially with information post-2021.
Q & A
What is the main topic of Dr. Eric Bricker's training video?
-The main topic of Dr. Eric Bricker's training video is the application of generative AI in healthcare, focusing on current uses rather than theoretical future applications.
What percentage of doctors' time is spent on electronic medical records according to the video?
-According to the video, 62 percent of doctors' time is spent on electronic medical records rather than with patients.
How does generative AI assist with documentation in healthcare as mentioned by Dr. Bricker?
-Generative AI assists with documentation by using ambient listening devices that listen to the conversation between healthcare professionals and patients, then create notes in the style and format that physicians use, which can save doctors significant time.
Which company is mentioned in the video that is currently using AI for documentation in healthcare?
-DeepScribe is the company mentioned in the video that is currently using AI for documentation in healthcare.
What is the potential time saved for doctors by using AI for documentation as stated in the video?
-The video states that using AI for documentation can save doctors three hours a day, which is a significant improvement over traditional documentation methods.
What is the role of AI in prior authorizations as described in the video?
-AI can assist in prior authorizations by generating letters to health insurance companies, justifying the need for specific medical procedures, and referencing supporting scientific literature, which can save doctors time and effort.
What limitations does Dr. Bricker mention regarding the use of AI for prior authorizations?
-Dr. Bricker mentions that AI's knowledge is limited to pre-2021 data, and it may not include newer studies or articles. Additionally, there have been instances where AI generated incorrect references, so human verification is necessary.
What is Unriddle AI, and how can it be used in healthcare?
-Unriddle AI is a software tool that can read and interpret PDF documents, such as insurance policies and medical policies. Users can ask it questions or request summaries, making it easier to understand complex documents and find specific information quickly.
What is the significance of the partnership between the Mayo Clinic and Google mentioned in the video?
-The partnership between the Mayo Clinic and Google is significant because it involves using Google's generative AI to analyze de-identified patient data, which could greatly improve the efficiency and effectiveness of searching through medical records.
How can AI improve the process of searching medical records, as discussed in the video?
-AI can improve the process by quickly summarizing patient states, finding specific events or conditions within medical records, and providing answers to queries, which can be particularly helpful in emergency situations where time is critical.
What is the slang term used by clinicians for reviewing complex patient medical records, as mentioned in the video?
-The slang term used by clinicians for reviewing complex patient medical records is 'chart biopsy'.
Outlines
🚀 Generative AI in Healthcare: Applications and Benefits
Dr. Eric Bricker introduces the topic of generative AI in healthcare, emphasizing current applications rather than theoretical possibilities. He highlights the significant time doctors spend on documentation and how AI can alleviate this burden. Ambient listening devices with voice recognition and natural language processing can generate medical notes in real-time, saving doctors hours daily. Companies like Deep Scribe are already implementing this technology, which not only improves efficiency but also reduces costs compared to human scribes.
📄 AI Assistance in Prior Authorizations and Document Search
The second paragraph discusses the utility of AI in streamlining the prior authorization process, which can be time-consuming for doctors. AI can draft letters to healthcare providers, referencing scientific literature to support requests for procedures. However, Bricker notes the limitations of AI, such as the inability to access information post-2021 and the potential for inaccuracies, as seen in a case where AI generated non-existent sources. He also introduces Unriddle AI, a tool that can search and summarize PDF documents, which is particularly useful for understanding complex insurance policies and medical records, as demonstrated by its application in the Mayo Clinic's partnership with Google.
🔍 Enhancing Medical Record Review with AI
In the final paragraph, Bricker focuses on the potential of AI to improve the review of medical records, especially for complex cases with extensive documentation. AI can quickly summarize patient histories or locate specific events within medical records, which is invaluable in time-sensitive situations like emergency rooms. This capability can significantly enhance the efficiency and accuracy of medical professionals in understanding patient backgrounds and making informed decisions.
Mindmap
Keywords
💡Generative AI
💡Healthcare Documentation
💡Electronic Medical Record (EMR)
💡Ambient Listening Devices
💡Natural Language Processing (NLP)
💡Deep Scribe
💡Prior Authorizations
💡Doximity
💡Unriddle AI
💡Medical Policy
💡Chart Biopsy
Highlights
Introduction to generative AI in healthcare by Dr. Eric Bricker.
Focus on current applications of AI in healthcare rather than theoretical possibilities.
AI's role in reducing documentation time for healthcare professionals.
62% of doctors' time spent on electronic medical records instead of patient care.
Ambient listening devices and generative AI for creating medical notes in real-time.
DeepScribe's implementation of AI in medical note creation at Stanford and Texas Medical Center.
AI's potential to save doctors three hours a day by automating note-taking.
The use of AI for prior authorizations in healthcare.
AI's ability to write clinical justification letters for medical procedures.
Doximity's beta version for AI-assisted prior authorizations.
Limitations of AI in accessing post-2021 medical literature and standards of care.
The importance of fact-checking AI-generated references and clinical justifications.
AI's application in searching and summarizing insurance policy documents.
Unriddle AI's capability to read and answer queries from PDF documents.
Free and premium tiers of Unriddle AI for document analysis and query responses.
AI's potential in improving medical record search efficiency in complex cases.
Partnership between Mayo Clinic and Google to utilize AI for analyzing de-identified patient data.
AI's role in enhancing the speed and accuracy of medical chart reviews in emergency situations.
Transcripts
hello good morning everyone this is Dr
Eric Bricker and thank you for watching
a healthcare Z today's training topic is
generative AI in healthcare so
so let's spend the rest of this
conversation talking about Healthcare
applications for AI and I wanted to
focus on applications that are literally
being done like right now or starting to
be done right now I mean you could
probably think of all sorts of Pie in
the Sky things that you can do so this
is not meant to be an exhaustive list
but these are things that are being done
right now that in my opinion are
incredibly helpful uh in healthcare so
one is documentation okay so there is
gods and gobs of documentation that
Healthcare professionals have to do in
the doctor's office in the hospital you
name it so the doctors says the
occupational therapist the respiratory
therapist amen it's like you just spent
so much time
reputation it's like
unreal so with that
62 percent of doctors time is spent with
the electronic medical record not with
the patient Okay so
there actually is today a way for the
generative AI so like you've got the
note right the note has to communicate
you know it's a legal record it has to
communicate to other Healthcare
professionals or other doctors like
what's actually transpired during the
office visit
um it can be shared with the patient so
that the patient can see it's used for
billing purposes to justify the billing
that's performed now
today like literally
We compare ambient listening devices so
like I can just I Dr Bricker can have a
a visit with Joe and Jane and that you
can have just a microphone
sort of like an Amazon Echo in the room
and it can just like listen to the
conversation and then has voice
recognition and natural language
processing so it knows that like my
voices the doctor's voice and that the
patient's voices the patient and then it
can use generative AI because that has
learned how to create a note in the
style and the format that Physicians
create notes it has to have like a
history has to have a chief complaint it
has to have a history it has different
sections his chief complaint history of
present illness past medical history
family history social history
Etc and it can just listen to the office
visit and it can create the note so you
don't have to spend all this all this
time writing the note how incredibly
helpful is that that is like the coolest
thing ever now
this is done today deep scribe is a
company that literally does this today
they're doing it at Stanford and at the
Texas Medical Center down in Houston now
I have no connection with deep scribe
but it literally saves
three hours a day day and it only cost 1
6 the cost of a human scribe I mean
there are some Physicians that use
scribes like literally a person all they
do is is come with a laptop and they
just sit there and type the note so that
the doctor doesn't have to do that and
so
you can you can save three hours a day
for a doctor I mean that is unreal okay
next up prior authorizations this is one
of the first things that came out
um when
Chan gbt came out is that a doctor in
Florida who's a rheumatologist said huh
what if I'd put in a prompt of write a
letter to United Healthcare asking them
to approve an echocardiogram on a
patient with systemic sclerosis which is
a aromatic disease that causes your skin
and your soft tissues to harden
and make reference to supporting
scientific literature and list the
appropriate articles and guess what it
did it in like a second
so doctors today have to do this by hand
they've got to write a letter dear
United Healthcare I would like to have
an echocardiogram for John or Jane Doe
they've got systemic sclerosis this is
why I wanted to be done here's why
echocardiograms are clinically Justified
here's some references I mean it takes a
ton of time and
he just said hey could you just do this
for me and then of course everything in
healthcare has to be done by facts so we
take this amazing new technology and
then we have to transmit it to the
health insurance company via fax machine
but the point is is that it can do it in
fact doximity has a beta version of this
that they are using right now uh and
again I have no connection to doximity
now
it's important to note that there are
certain limitations here so like chat
GPT is not actively connected to the
internet in fact chat GPT was
pre-trained on the internet
pre-2021 so there's a lot of like
standards of care and a lot of things in
the medical literature and a lot of
things that can be justified for prior
authorization where information as of
pre-2021 is totally okay but just note
that if there are like newer studies
that come out or newer articles or what
have you if it's from 2021 or later it's
not going to show up because chat gbt
was not trained on that now
um the rheumatologist in Florida also
said look when you see those references
you also need to double check them as
well
um so that
um there was actually a case of an
attorney
um that used chat GPT and apparently the
um AI actually even made up this made up
the sources uh it made up the cases
um these cases did not exist so
certainly it's not perfect so you're
going to want to um but but when he read
the clinical justification for like why
it should be done he's like oh that's
totally right
now another thing that AI can be used
for
is to search and this is a personal
favorite of mine is to search
and plan Dot
so
everybody so a lot of people here work
in health and
and like the planned documents I mean it
I mean it's obviously all in PDFs these
days but you know back when they used to
print them out I mean they're like this
thick and then also
um and that describes like what your
insurance covers and what it doesn't
cover and how it covers it like what's
your deductible what's your coinsurance
like how does it cover durable medical
uh equipment and it's got gobs and gobs
of fine print in there now there's also
medical policy which is even more layers
of fine print which is hey your health
insurance plan will pay for this medical
procedure in this situation but it won't
pay for the same medical procedure in a
different situation and I've uh I have a
whole nother uh training session on
medical policy and its source of denials
and it's incredibly long and complicated
me as a physician I have a super hard
time understanding this so like your
typical like a lay person or plan member
they would have no clue how to read and
interpret this plus you'd have to go
through these pages and pages and pages
that are not easily searchable to find
the information that you need but
you can have ai
you can just ask AI a question about a
document and it'll go through the
document and it'll answer that question
for you and there is a software tool
that's called Unriddle AI that reads
PDFs and you can just type in queries or
you can just ask it to summarize it for
you and you can use it for free for a
document up to 120 pages and you can do
four queries a month for free now if you
want to upgrade it you can do up to four
thousand page documents and you can do
250 queries a month for fifty dollars a
month again I have no connection to
under Unriddle AI but if you were
working as a let's say an account
manager as a brokerage firm and let's
say your client is like hey all right
you know I've got or even if you work in
benefits in HR and you've got an
employee that's like hey you know
can I do you know my out my health
insurance is saying it doesn't cover
this or whatever you're like I don't
even know if our plan does or does not
cover that instead of you having to
Rifle through the planned document to
the medical policy you could just use
Unriddle AI to be like hey for our Blue
Cross United policy does it cover you
know echocardiograms for 17 year olds
who had one episode of palpitations
while playing soccer and like it'll
shoot out an answer for you
um now interestingly
um it can also search medical records
and so there's actually a partnership
between the Mayo Clinic and Google that
was just announced on June 7th of this
year 2023 where uh Mayo is going to take
you know de-identified patient data and
they're going to allow Google's
um generative AI to then look through
those medical records and that would be
extremely helpful as well because
doctors and you know clinicians we have
to do what's we call it um sort of um
the slang term for it is a chart biopsy
where you know you've got these complex
patients that have gobs of gobs of
previous visits or their Hospital stay
might already be a month long and you're
just coming on to be consulted as the
cardiologist or what have you and you're
like oh man I gotta spend all this time
looking through their medical record
whereas literally you could just use the
AI to be like hey could you summarize
their state for me or could you tell me
specifically what happened with this
particular like I know the guy had had a
cardiac calf but can you just find that
in there and let me know what happened
in the cardiac half so the effectiveness
and the accuracy of the chart biopsy of
actually looking through those charts
could be tremendously better especially
in the ER right because in the ER you
don't have time to look through all this
stuff right so the patients would come
into the ER and the ER doctor would look
at their medical record that I was
already in the system and they're like
oh man I can't keep this straight
there's no way I can figure all this out
it's an emergency whereas they could
actually just use the AI to like very
quickly answer like what they would need
to know from the huge medical record I
mean that would be unbelievable
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