CARDSS: Development and evaluation of a guideline based decision support system for cardiac rehabilitation

Niels Peek, Rick Goud, Nicolette De Keizer, Mariëtte Van Engen-Verheul, Hareld Kemps, Arie Hasman

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Cardiac rehabilitation is a multidisciplinary therapy aimed at recovery and secondary prevention after hospitalization for cardiac incidents (such as myocardial infarctions) and cardiac interventions (such as heart surgery). To stimulate implementation of the national guidelines, an electronic patient record system with computerised decision support functionalities called CARDSS (cardiac rehabilitation decision support system) was developed, and made available to Dutch rehabilitation clinics. The system was quantitatively evaluated in a cluster randomised trial at 31 clinics, and qualitatively by interviewing 29 users of the system. Computerised decision support was found to improve guideline concordance by increasing professional knowledge of preferred practice, by reducing inertia to previous practice, and by reducing guideline complexity. It was not effective when organizational or procedural changes were required that users considered to be beyond their responsibilities.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings
Pages109-118
Number of pages10
DOIs
Publication statusPublished - 2011
Event13th Conference on Artificial Intelligence in Medicine, AIME 2011 - Bled, Slovenia
Duration: 2 Jul 20116 Jul 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6747 LNAI

Conference

Conference13th Conference on Artificial Intelligence in Medicine, AIME 2011
Country/TerritorySlovenia
CityBled
Period2/07/20116/07/2011

Keywords

  • cardiac rehabilitation
  • clinical decision support systems
  • guideline implementation

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