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

Hira Jawaid; Khalid Latif; Hamid Mukhtar; Farooq Ahmad; Syed Ali Raza

doi:10.1007/978-3-319-19156-0_25

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Health Information Science - 4th International Conference, HIS 2015, Proceedings
Editors	Kendall Ho, Xiaoxia Yin, Rui Zhou, Hua Wang, Uwe Aickelin, Daniel Zeng
Publisher	Springer Verlag
Pages	241-246
Number of pages	6
ISBN (Print)	3540625984, 9783319191553
DOIs	https://doi.org/10.1007/978-3-319-19156-0_25
Publication status	Published - 2015
Event	4th International Conference on Health Information Science, HIS 2015 - Melbourne, Australia Duration: 28 May 2015 → 30 May 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9085
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Health Information Science, HIS 2015
Country/Territory	Australia
City	Melbourne
Period	28/05/15 → 30/05/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Keywords

Conformance
FHIR
HL7
Ontology
Reasoning
Validation

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-19156-0_25

Cite this

Jawaid, H., Latif, K., Mukhtar, H., Ahmad, F., & Raza, S. A. (2015). Healthcare data validation and conformance testing approach using rule-based reasoning. In K. Ho, X. Yin, R. Zhou, H. Wang, U. Aickelin, & D. Zeng (Eds.), Health Information Science - 4th International Conference, HIS 2015, Proceedings (pp. 241-246). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9085). Springer Verlag. https://doi.org/10.1007/978-3-319-19156-0_25

Jawaid, Hira ; Latif, Khalid ; Mukhtar, Hamid et al. / Healthcare data validation and conformance testing approach using rule-based reasoning. Health Information Science - 4th International Conference, HIS 2015, Proceedings. editor / Kendall Ho ; Xiaoxia Yin ; Rui Zhou ; Hua Wang ; Uwe Aickelin ; Daniel Zeng. Springer Verlag, 2015. pp. 241-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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.",

keywords = "Conformance, FHIR, HL7, Ontology, Reasoning, Validation",

author = "Hira Jawaid and Khalid Latif and Hamid Mukhtar and Farooq Ahmad and Raza, {Syed Ali}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 4th International Conference on Health Information Science, HIS 2015 ; Conference date: 28-05-2015 Through 30-05-2015",

year = "2015",

doi = "10.1007/978-3-319-19156-0_25",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Jawaid, H, Latif, K, Mukhtar, H, Ahmad, F & Raza, SA 2015, Healthcare data validation and conformance testing approach using rule-based reasoning. in K Ho, X Yin, R Zhou, H Wang, U Aickelin & D Zeng (eds), Health Information Science - 4th International Conference, HIS 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9085, Springer Verlag, pp. 241-246, 4th International Conference on Health Information Science, HIS 2015, Melbourne, Australia, 28/05/15. https://doi.org/10.1007/978-3-319-19156-0_25

Healthcare data validation and conformance testing approach using rule-based reasoning. / Jawaid, Hira; Latif, Khalid; Mukhtar, Hamid et al.
Health Information Science - 4th International Conference, HIS 2015, Proceedings. ed. / Kendall Ho; Xiaoxia Yin; Rui Zhou; Hua Wang; Uwe Aickelin; Daniel Zeng. Springer Verlag, 2015. p. 241-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9085).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Healthcare data validation and conformance testing approach using rule-based reasoning

AU - Jawaid, Hira

AU - Latif, Khalid

AU - Mukhtar, Hamid

AU - Ahmad, Farooq

AU - Raza, Syed Ali

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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SN - 9783319191553

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Yin, Xiaoxia

A2 - Zhou, Rui

A2 - Wang, Hua

A2 - Aickelin, Uwe

A2 - Zeng, Daniel

PB - Springer Verlag

T2 - 4th International Conference on Health Information Science, HIS 2015

Y2 - 28 May 2015 through 30 May 2015

ER -

Jawaid H, Latif K, Mukhtar H, Ahmad F, Raza SA. Healthcare data validation and conformance testing approach using rule-based reasoning. In Ho K, Yin X, Zhou R, Wang H, Aickelin U, Zeng D, editors, Health Information Science - 4th International Conference, HIS 2015, Proceedings. Springer Verlag. 2015. p. 241-246. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-19156-0_25

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this