[R-CDM] Thanks for the link to your draft of this, I see two files but I don’t understand their contents. Is there any documentation describing this?
[Annotation/Report in Radiology]
Since AIM already has a data model for describing the key semantic information in radiology images, I’d encourage that R-CDM describe similar information entities that AIM does, so that interoperability between AIM instances and R-CDM/OMOP will be facilitated. In particular, including AnatomicEntity, AnatomicEntityCharacteristic, ImagingObservation, GeometricShape, ImagingObservationCharacteristic, and Calculation entities would be helpful. Then images that have been annotated using AIM (and soon the AIM/DICOM-SR) compatible tools can interoperate.
[Imaging for stroke and standardization of DICOM headers]
If you are primarily pursuing the stroke use case, it would be good to focus on brain MRI for now. As to standardizing MRI procedure, I agree it’s fine to start with T1, T2 and FLAIR for the pilot study, and put those into the R-CDM model. Then each site would need to map their ad-hoc series names to the equivalent entities in R-CDM.
For this particular use case, I think you’ll get a lot of signal for prediction by using the radiology report, since that has already been synthesized/summarized by a human. Looking directly at the image data and doing feature extraction from that could be helpful in different use cases, like generating the report (very hard problem), so you might make the problem easier on yourself by using the report text and integrating that with other clinical EMR data as a first pass at this problem.