Fast healthcare interoperability resources (fhir) as a meta model to integrate common data models: Development of a tool and quantitative validation study

Emily Rose Pfaff, James Champion, Robert Louis Bradford, Marshall Clark, Hao Xu, Karamarie Fecho, Ashok Krishnamurthy, Steven Cox, Christopher G. Chute, Casey Overby Taylor, Stan Ahalt

Research output: Contribution to journalArticlepeer-review

Abstract

Background: In a multisite clinical research collaboration, institutions may or may not use the same common data model (CDM) to store clinical data. To overcome this challenge, we proposed to use Health Level 7's Fast Healthcare Interoperability Resources (FHIR) as a meta-CDM-a single standard to represent clinical data. Objective: In this study, we aimed to create an open-source application termed the Clinical Asset Mapping Program for FHIR (CAMP FHIR) to efficiently transform clinical data to FHIR for supporting source-agnostic CDM-to-FHIR mapping. Methods: Mapping with CAMP FHIR involves (1) mapping each source variable to its corresponding FHIR element and (2) mapping each item in the source data's value sets to the corresponding FHIR value set item for variables with strict value sets. To date, CAMP FHIR has been used to transform 108 variables from the Informatics for Integrating Biology & the Bedside (i2b2) and Patient-Centered Outcomes Research Network data models to fields across 7 FHIR resources. It is designed to allow input from any source data model and will support additional FHIR resources in the future. Results: We have used CAMP FHIR to transform data on approximately 23,000 patients with asthma from our institution's i2b2 database. Data quality and integrity were validated against the origin point of the data, our enterprise clinical data warehouse. Conclusions: We believe that CAMP FHIR can serve as an alternative to implementing new CDMs on a project-by-project basis. Moreover, the use of FHIR as a CDM could support rare data sharing opportunities, such as collaborations between academic medical centers and community hospitals. We anticipate adoption and use of CAMP FHIR to foster sharing of clinical data across institutions for downstream applications in translational research.

Original languageEnglish (US)
Article numbere15199
JournalJMIR Medical Informatics
Volume7
Issue number4
DOIs
StatePublished - Oct 2019

Keywords

  • Controlled vocabularies
  • Data sharing
  • Electronic health records
  • Health information interoperability

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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