If the community wants to go this direction, I am happy to help. We built our own data model so we could more easily convert raw data to OMOP and Sentinel. If you want to see how it all fits together, it is publicly available: GitHub - outcomesinsights/generalized_data_model: Outcomes Insights' Data Model for Clinical Research
Purely selfishly, the more similar the data models are, the easier my job is. 
But what we are doing is very specific to our needs and I recognize that OMOP has a fundamentally different goal. That is, OMOP is designed to be an “analysis ready” representation of the data. By definition, decisions related to analyses are baked into the data model. Otherwise it isn’t “analysis ready”.