@inproceedings{a294bb81a88c4b578be2efd0909e3f27,
title = "A consensus-based approach for harmonizing the ohdsi common data model with HL7 FHIR",
abstract = "A variety of data models have been developed to provide a standardized data interface that supports organizing clinical research data into a standard structure for building the integrated data repositories. HL7 Fast Healthcare Interoperability Resources (FHIR) is emerging as a next generation standards framework for facilitating health care and electronic health records-based data exchange. The objective of the study was to design and assess a consensus-based approach for harmonizing the OHDSI CDM with HL7 FHIR. We leverage a FHIR W5 (Who, What, When, Where, and Why) Classification System for designing the harmonization approaches and assess their utility in achieving the consensus among curators using a standard inter-rater agreement measure. Moderate agreement was achieved for the model-level harmonization (kappa=0.50) whereas only fair agreement was achieved for the property-level harmonization (kappa=0.21). FHIR W5 is a useful tool in designing the harmonization approaches between data models and FHIR, and facilitating the consensus achievement.",
keywords = "Controlled, Observational study, Reference standards, Vocabulary",
author = "Guoqian Jiang and Kiefer, {Richard C.} and Sharma, {Deepak K.} and Eric Prud'hommeaux and Solbrig, {Harold R.}",
note = "Funding Information: This study is supported in part by NIH grants U01 HG009450, U01 CA180940, and R01 GM105688. Publisher Copyright: {\textcopyright} 2017 International Medical Informatics Association (IMIA) and IOS Press.; 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",
year = "2017",
doi = "10.3233/978-1-61499-830-3-887",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "887--891",
editor = "Zhao Dongsheng and Gundlapalli, {Adi V.} and Jaulent Marie-Christine",
booktitle = "MEDINFO 2017",
}