I want to report recent ours experience related with phenotyping in ATLAS.
I’m working on developing cohort definition for cancer patients for claim data with @Jaehyeong_Cho .
Kim et al., reported that the most accurate way to define cancer patients in Korean claim data is using two constraints, hospitalization and primary diagnosis.
So we’ve made several cohort definitions in ATLAS
First definition and Second definition.
(Because SynPUF data doesn’t seem to have information for primary diagnosis, you cannot see the result in the public ATLAS.)
In our experience, the number of cohort was almost doubled in second definition, which I didn’t expected. The first definition was much more similar to the known numbers than the second definition.
The reason might be the ‘first time’ constraint in the first cohort definition.
Anyway, this demonstrates again why we need golden standard phenotype library in OHDSI.