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by drak0n1c 1385 days ago
Sounds like an application for ML, to determine which codes frequently coincide per-patient at each provider and then assign those groupings to cross-provider "Treatment XYZ" buckets to enable apples-to-apples comparisons.
4 comments

I would think a basic statistical analysis should suffice.
most software billed as having 'ML' capabilities is just basic statistical analysis anyway - but that doesn't make for good marketing-speak.
Great call, many orgs in health tech use billing/procedure code embeddings to group, just like you're suggesting.
Calculating a basic median for those groups would be a non-trivial (indeed, probably quite difficult) exercise at this scale.
Applying ML to health care is a guaranteed path to wealth, and later, insanity.