A Consensus-Based Approach for Harmonizing the OHDSI Common Data Model with HL7 FHIR
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 consensusbased 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.
Reference standards Observational study Vocabulary,controlled
Guoqian Jiang Richard C.Kiefer Deepak K.Sharma Eric Prudhommeaux Harold R.Solbrig
Department of Health Sciences Research,Mayo Clinic,Rochester,MN,USA W3C/MIT,Boston,MA,USA
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
887-891
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）