Common Data Models Harmonization Implementation Guide (Release 0.1.0 )

Common Data Models Harmonization, published by HL7 International - Biomedical Research and Regulation Work Group. This is not an authorized publication; it is the continuous build for version 0.1.0). This version is based on the current content of https://github.com/HL7/cdmh/ and changes regularly. See the Directory of published versions

Common Data Models Harmonization FHIR Implementation Guide

Introduction

The Common Data Models Harmonization (CDMH) FHIR Implementation Guide (IG) will focus on mapping and translating observational data extracted for Patient Centered Outcome Research (PCOR) purposes into FHIR format. Research data is extracted from the different research networks each of which may use a different data model for their data representation. The project focuses on research networks using the following four Common Data Models (4 CDMs)

  • Patient Centered Outcome Research Network (PCORNet) Common Data Model (CDM)
  • Informatics for Integration Biology and Bedside (i2b2) model
  • Observational Medical Outcomes Partnership (OMOP) model
  • Federal Drug Administration’s Sentinel model

The larger CDMH project led by FDA in collaboration with other Federal Agencies and specific research networks tackles the various aspects such as querying the data and getting the results back from the queries; however, the CDMH FHIR IG only focuses on mapping and translating the results obtained from queries to a FHIR format. The following benefits are expected from translation of research data into a FHIR format

  • The data can be published using FHIR format using well defined RESTful APIs for other authorized researchers
  • Leveraging FHIR tools, techniques and apps being developed using FHIR formats.
  • Provide a roadmap where by the mappings and translations created can be re-used for data extraction from clinical systems which is elaborated as part of Data Access Framework Research (DAF-Research) Implementation Guide.

The capabilities described as part of the CDMH FHIR IG are intended to be leveraged to build US data infrastructure for a Learning Health System (LHS) along with other PCOR Trust Fund (PCORTF) investments such as DAF-Research IG, Structured Data Capture (SDC) IG, Patient Reported Outcomes (PRO) FHIR IG, Women’s Health Technologies Coordinated Registry Network (CRN) FHIR IG.

The CDMH FHIR IG will leverage the US-Core IG and profiles for the resources that overlap with US-Core. The CDMH FHIR IG will leverage DAF-Research IG for future phases where by queries and workflows can be automated using FHIR standard.

The CDMH FHIR IG will create profiles of profiles leveraging US-Core, DAF-Research as necessary and will create new profiles and extensions for Resources based on the four Common Data Model requirements.

The next section provides a road map for the reader to walk through the implementation guide.

Guidance to the readers

The following table will provide a road map to the reader to follow and absorb the content of the implementation guide.

Topic to Read What it Contains and its relationship to CDMH IG Where can I find the content ?
US-Core The set of FHIR profiles mostly commonly implemented by vendors, also contains many of the definitions used for the CDMH IG. (For e.g Definition of“Supported”). US-Core Definitions
CDMH Overview The artifact provides an overview of the CDMH project. Overview
Mappings and Profiles The artifact defines the various mappings, profiles, extensions and resources that make up the CDMH FHIR IG. Mappings and Profiles
Implementation Guidance The artifact contains guidance and examples that will help implementers of CDMH FHIR IG. Implementation Guidance
DAF-Research The PCORTF sponsored IG outlines mechanisms to perform queries in distributed networks which is leveraged by the CDMH IG. DAF-Research