GPT-4 will hunt for trends in medical records thanks to Microsoft and Epic
arstechnica.com
arstechnica.com
And it will be like shooting fish in a barrel.
It is said that doctors spend a lot of their time on bullshit computer procedures, involving garbage software, when they should be seeing patients or learning something.
Why do you think so?
I see a huge thorny ball of legal issues that needs to be resolved before gpt-like services can really become useful...
I personally feel very held back by legal (and infosec) uncertainty. I would use chatgpt a lot more of it didn't feel so legally sticky (?).
To everyone else it's turning data over to a 3rd party but for them it's like running scapy.
They can't train on one customer's data and use it on another but that's less of an issue than you'd think.
1) privacy and other laws have high demand of "structured" and "secure" information keeping ("it's a law that I must fill this information into this BS table and it's 100 BS fields");
2) governments love to spend the money on "standalone" software that has 1000 BS requirements... And contact companies do love to make that software as BS as they can because the worse system it is, the more additional contracts do they get to solve the problems they made.
Basically, I am sceptical that anything could help medical staff. (I am pessimistic because of what I see in my country of Lithuania. Barely working proprietary systems ("e-sveikata" and "e-receptai") that costs tax payers hundreds of millions Euros.)
if not /s then my response is 'wow so naive!'
I donno WTF are people smoking here but go read responses for the same story on other sites like slashdot and reddit for some balance.
How did I “opt in”? My healthcare provider migrated to Epic for all medical records. I had the “choice” of… not receiving healthcare, I guess? But even then, all my past records were imported to Epic anyway.
And before you “market choice” folks start squawking: your provider changing their records system is not a “qualifying event,” so you don’t get to shop for another provider until the next enrollment period. Also, ALL of the providers available to me use Epic.
But now that you're talking drawing inferences from medical data...... it's making me pause to think.
I think it could be done in the EU at least. If we up the it competence level of our decision makers a couple of notches.
It's time we start finding cures for illnesses like mine which doesn't has medication.
It's time to use big data and ml on as much data possible to start helping much more people faster.
Every CRT every diagnosis helps.
Feel free to advocate for proper anonmysation if the data but not for the use of it.
My thought was that if we could just deal with privacy concerns in a comprehensive way we could open floodgates for research.
But then again it might just as well add another layer of technocratic stagnation.
I think the problem is not with using a GPT for this purpose, but with the risk of privacy violations. But there is a way to do this ethically.
E.g. "TDAP Tetanus vaccine = 42% lower risk of dementia in older adults"... more findings like this would be great.
Doesn't this make it sound like there's a confounding factor? Such as: vaccines are more common in people that are wealthier or people that choose to align their lifestyles with recommendations from doctors?
Pages and pages of text that can't be read by any one person can be parsed in seconds by a machine with enough knowledge and understanding to make something meaningful of it.
The same idea is already being applied for law - https://twitter.com/ai__pub/status/1644735555752853504
What you described sounds like a way to search documents not mine for trends.
How is ChatGPT going to infer connections here without supervision? Are you saying the process is to paste every medical record into the context window and then prompt GPT to “find common patterns in the above?”
That doesn’t sound likely to come up with useful results on its own… Maybe I’m wrong though.
It’s seems more likely that GPT is being used to interpret the text into a standardised form that can then be mined using other techniques.
It'll be more implicit than that. For a toy example, paste some fake but detailed stats about certain treatments. then try to ask gpt to recommend a particular procedure for a certain patient. Those stats will undoubtedly influence gpt's recommendations...and in ways that make sense.
Searching documents is powerful here because searching documents influences GPT's response in much the same way it would an equivalent human.
Can't wait for more people getting help.
Alone a system which knows all patients with my sickness (RLS) could potentially show something when clustering 100ktens of diagnosises