Understanding requirements of clinical data standards for developing interoperable knowledge-based DSS: A case study

Arturo González-Ferrer; Mor Peleg

doi:10.1016/j.csi.2015.06.002

Understanding requirements of clinical data standards for developing interoperable knowledge-based DSS: A case study

Arturo González-Ferrer, Mor Peleg

Department of Information Systems

Research output: Contribution to journal › Article › peer-review

Abstract

Knowledge-based Clinical Decision Support Systems (KB-DSSs) promise to provide patient-specific recommendations, generated by matching the KB with electronic patient data from various sources. The challenge of making KB-DSSs interoperable can be simplified by including those data sources into an integrated Personal Health Record (PHR). This paper aims to identify relevant criteria to support the evaluation of data standards for the PHR, following a case-study approach. 15 functional and non- functional criteria were identified and used to evaluate selected standards (HL7 CDA, HL7 vMR and openEHR).

Original language	English
Pages (from-to)	125-136
Number of pages	12
Journal	Computer Standards and Interfaces
Volume	42
DOIs	https://doi.org/10.1016/j.csi.2015.06.002
State	Published - 1 Nov 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.

Keywords

Data standards
Decision Support Systems
Interoperability
Knowledge representation
Personal Health Record

ASJC Scopus subject areas

Software
Hardware and Architecture
Law

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10.1016/j.csi.2015.06.002

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abstract = "Knowledge-based Clinical Decision Support Systems (KB-DSSs) promise to provide patient-specific recommendations, generated by matching the KB with electronic patient data from various sources. The challenge of making KB-DSSs interoperable can be simplified by including those data sources into an integrated Personal Health Record (PHR). This paper aims to identify relevant criteria to support the evaluation of data standards for the PHR, following a case-study approach. 15 functional and non- functional criteria were identified and used to evaluate selected standards (HL7 CDA, HL7 vMR and openEHR).",

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Understanding requirements of clinical data standards for developing interoperable knowledge-based DSS: A case study

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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