HL7 community is profoundly involved in the development of standards in order to exchange, share and retrieve health related in-formation. FHIR is an emerging standard of HL7 that encourages use of JSON as a data serialization approach. Validation of healthcare data is crucial task because errors in data can result serious consequences. Currently there does not exist a validator that can validate and conform data as per FHIR. This paper presents an approach to validate health-care data embodied in JSON documents and to test its conformance with FHIR standard. We first developed Description Logic (DL) based schema of the FHIR. JSON data is then translated to RDF and we ap-ply rule-based reasoning to validate data. As verified by results, design of the validation algorithm ensures that validation step is performed in sub seconds and overall system remains efficient. Further, the rule based reasoning provides aid in identifying incompatibilities in data which should be fixed to bridge the gaps in achieving interoperability.
|Title of host publication
|Health Information Science - 4th International Conference, HIS 2015, Proceedings
|Kendall Ho, Xiaoxia Yin, Rui Zhou, Hua Wang, Uwe Aickelin, Daniel Zeng
|Number of pages
|Published - 2015
|4th International Conference on Health Information Science, HIS 2015 - Melbourne, Australia
Duration: 28 May 2015 → 30 May 2015
|Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|4th International Conference on Health Information Science, HIS 2015
|28/05/15 → 30/05/15
Bibliographical notePublisher Copyright:
© Springer International Publishing Switzerland 2015.
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)