Healthcare data validation and conformance testing approach using rule-based reasoning

Hira Jawaid*, Khalid Latif, Hamid Mukhtar, Farooq Ahmad, Syed Ali Raza

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationHealth Information Science - 4th International Conference, HIS 2015, Proceedings
EditorsKendall Ho, Xiaoxia Yin, Rui Zhou, Hua Wang, Uwe Aickelin, Daniel Zeng
PublisherSpringer Verlag
Number of pages6
ISBN (Print)3540625984, 9783319191553
Publication statusPublished - 2015
Event4th International Conference on Health Information Science, HIS 2015 - Melbourne, Australia
Duration: 28 May 201530 May 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Health Information Science, HIS 2015

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.


  • Conformance
  • FHIR
  • HL7
  • Ontology
  • Reasoning
  • Validation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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