I’m Clark Evans, technical co-founder at Prometheus Research, LLC. I’ve been working in the field of medical informatics for about 15 years. Outside of our field, I’m best known for YAML, and a few contributions to the Python and PostgreSQL community. My specialty is database query technologies applied to healthcare data. About 5 years ago we finished HTSQL a navigational query language for medical research data stored in PostgreSQL.
Most recently, I’ve been working on a next generation query language, we call DataKnots which is based upon an algebra of queries we call Query Combinators. We’ve shown that this approach is general and extendable, yet, could succinctly cover all CQL use cases to provide an executable definition of eCQMs such as CMS165, access to FHIR resources, and answering medical inquires, among other things. I have a working hypothesis that this approach to querying could have much broader impact in our field, permitting us to create domains specific, and even sub-specialty specific query languages that directly integrate statistical measures.
Starting well over 4 years ago I became aware of OHDSI’s OMOP, and have looked forward to working with you all for sometime. In its first release, as I recall, it was PostgreSQL only, and had a competently constructed schema. I see that this community has grown in laps and bounds since. It’s a pleasure to see this and to join a group getting real, important work done.
Currently, I’m looking for collaborators who have complex data ingestion, cleaning, harmonization, and analysis tasks so that I could further prove this experimental system. Our work is Apache licensed and any efforts towards this direction would be done so that it works tightly within the OMOP data model.