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Supporting multi-center research requires combining data created in different data models; this community coordination project aims to provide an data model adaptor for CTSA hubs.

Common Data Model (CDM) - FHIR Gap Analysis

Harmonization of various Common Data Models and Open Standards for Evidence Generation

Project Summary

The goal of this project is to facilitate the use of Read World Data (RWD) sources (e.g., claims, Electronic Health Records (EHRs), registries, electronic Patient Reported Outcomes (ePRO) to support evidence generation for regulatory and clinical decision making.

Examples of the CDMs, reflecting diverse data sources millions of lives, to be used in this project include:

For this project, we also aim to collaborate with the following Standards Development Organizations (SDOs) and consortia:

Project Background

In order to achieve a sustainable data network infrastructure, promote interoperability and foster the creation of a LHS as laid out in the Connecting Health and Care for the Nation a Shared Nationwide Interoperability Roadmap, there is a need to map and transform data across various Common Data Models (CDMs) and leverage open-source standards. By mapping various CDM data elements and leveaging existing OS PCORTF investments, it is feasible to reuse the data, methods and other resources from each network (e.g. PCORNET, Sentinel, OHDSI, i2b2) thereby providing PCOR researchers with access to larger and more diverse types of RWD (with appropriate data partner permissions).

Why So Many CDMs

Have Clinical Standards Caught Up FHIR Phenomenon

Is FHIR Ready to become Canonical Hub CDM?

Does Anybody Embrace This?

Resources relevant to addressing the CDM FHIR gap:

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