Submitted by tmblweeds t3_zn0juq in MachineLearning
trnka t1_j0hr6zn wrote
Reply to comment by tmblweeds in [P] Medical question-answering without hallucinating by tmblweeds
Yeah our doctors spent a lot of time building and revising clinical guidelines for our practice.
I'm not sure what your background is, but some tips from working with them on clinical guidelines:
- There were some guidelines that were generally-accepted best practices in medicine, but it was more common to have clinic-specific guidelines
- My team ran into some resistance to the idea of ML-created guidelines. Physicians were more receptive to technology that assisted them in creating guidelines
- Many guidelines are aspirational, like when to order lab tests. Many patients just won't get the tests, or the test results will come back after the current condition has resolved. Likewise, if you're worried about a patient taking the antibiotic to term, it may be better to use a 1-dose second-line antibiotic rather than a multi-dose first-line antibiotic. In the long term I expect that clinical guidelines will adapt somewhat to patient adherence; they aren't a one-time thing. Plus research changes too.
- For any evidence, there needs to be vetting of how it's gathered, like whether it's a proper randomized control trial, how the statistics are done, how the study is designed, what population was studied, etc
tmblweeds OP t1_j0ieog3 wrote
Ah yeah I wasn't thinking necessarily about creating guidelines with ML—more like highlighting/synthesizing relevant excerpts from existing guidelines (e.g. NICE, American College of Cardiology, etc.). But I didn't know that individual clinics had their own guidelines in addition to the "official" ones).
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