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

Arturo González-Ferrer, Mor Peleg

Research output: Contribution to journalArticlepeer-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). Our evaluation identifies their main advantages and disadvantages to support the development of interoperable, data-integrated KB-DSSs

Original languageEnglish
Pages (from-to)125-136
Number of pages12
JournalComputer Standards and Interfaces
Volume42
DOIs
StatePublished - 1 Nov 2015

Bibliographical note

Funding Information:
This study was carried out as part of the MobiGuide project partially funded by the European Commission under the 7th Framework Program, grant # 287811 . We appreciate the cooperation of our colleagues in MobiGuide, Bert Verhees and Jan-Marc Verlinden (MEDvision360) and Carlos Marcos (Atos Spain).

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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