def compare_state_dict(dict1, dict2): # compare keys for key in dict1: if key not in dict2: return False for key in dict2: if key not in dict1: return False for (k,v) in dict1.items(): if not torch.all(torch.isclose(v, dict2[k])) return False return True

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Common Data Model Harmonization (CDMH) and Open Standards for Evidence Generation

4The solution, using the Adapter AnalogySentineli2b2/ACTOMOPPCORNET▪Different countries use different “outlets”.▪There is a need for travel adapters.The Solution: ▪Use a converter between various adapters.▪Allow researchers to ask a question once and receive results from many different sources using a common agreed-upon standard structure, or a Common Data Model.

Sentinel, PCORnet versions 3.1 and 4.0, OMOP and i2b2/ACT

RWD leveraging Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) via the FDA Gateway