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.
| Original language | English (US) |
|---|---|
| Title of host publication | MEDINFO 2017 |
| Subtitle of host publication | Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics |
| Publisher | IOS Press |
| Pages | 887-891 |
| Number of pages | 5 |
| Volume | 245 |
| ISBN (Electronic) | 9781614998297 |
| DOIs | |
| State | Published - Jan 1 2017 |
| Event | 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China Duration: Aug 21 2017 → Aug 25 2017 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Volume | 245 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Other
| Other | 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 |
|---|---|
| Country | China |
| City | Hangzhou |
| Period | 8/21/17 → 8/25/17 |
Fingerprint
Keywords
- Controlled
- Observational study
- Reference standards
- Vocabulary
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management
Cite this
A consensus-based approach for harmonizing the ohdsi common data model with HL7 FHIR. / Jiang, Guoqian D; Kiefer, Richard C.; Sharma, Deepak K.; Prud'hommeaux, Eric; Solbrig, Harold R.
MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Vol. 245 IOS Press, 2017. p. 887-891 (Studies in Health Technology and Informatics; Vol. 245).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A consensus-based approach for harmonizing the ohdsi common data model with HL7 FHIR
AU - Jiang, Guoqian D
AU - Kiefer, Richard C.
AU - Sharma, Deepak K.
AU - Prud'hommeaux, Eric
AU - Solbrig, Harold R.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Controlled
KW - Observational study
KW - Reference standards
KW - Vocabulary
UR - http://www.scopus.com/inward/record.url?scp=85040520924&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040520924&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-830-3-887
DO - 10.3233/978-1-61499-830-3-887
M3 - Conference contribution
VL - 245
T3 - Studies in Health Technology and Informatics
SP - 887
EP - 891
BT - MEDINFO 2017
PB - IOS Press
ER -