I had the opportunity to chat with our OHDSI colleagues (@marciero @BriOlivieriMui) today about health services research projects using the OMOP CDM. Mike’s interests are around predicting individual costs using the Hierarchical Condition Category approach in a Medicare population.
It occurred to me that there’s a LOT of oral history here that isn’t easily findable for a newcomer. I’m starting this discussion on the forum to increase transparency to: 1) create a thread where people can see the state of what’s been done before and the opportunities for future research! AND… 2) help newcomers see there are people who do work outside of causal inference
To do this, I need some help from the community to help with “what’s been done”.
- @Gowtham_Rao @jon_duke @Patrick_Ryan (maybe @bnhamlin) - I have vague memories of some of you applying the idea of HCCs as cohorts in ATLAS. I can’t find it easily but I swear it used to exist. Does this ring any bells? Any ability to comment on what was done and what was learned? (I’m sure it’s not current but that’s OK.)
- CDM Workgroup Friends (@clairblacketer @DTorok @QI_omop @Christian_Reich @MPhilofsky @CRoeder @Vojtech_Huser et al) - What do we know about adoption of the COST table? Do we know of Medicare populations in the CDM that have these data populated?
Going forward, one other ask:
- @RossW - Mike is looking for some help understanding a bit about creating custom features in the PLP framework. Could you or some other PLP expert help orient him to this? (Probably easier to do in the R package than ATLAS.)
I really appreciate the community’s help in this! Would love to see this research come to life.