Are Clinical Decision Support Systems Compatible with Patient-Centred Care?

Vije Kumar Rajput, Jack Dowie, Mette Kjer Kaltoft

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Few, if any, of the Clinical Decision Support Systems developed and reported within the informatics literature incorporate patient preferences in the formal and quantitatively analytic way adopted for evidence. Preferences are assumed to be 'taken into account' by the clinician in the associated clinical encounter. Many CDSS produce management recommendations on the basis of embedded algorithms or expert rules. These are often focused on a single criterion, and the preference trade-offs involved have no empirical basis outside an expert panel. After illustrating these points with the Osteoporosis Adviser CDSS from Iceland, we review an ambitious attempt to address both the monocriterial bias and lack of empirical preference-sensitivity, in the context of Early Rheumatoid Arthritis. It brings together the preference data from a Discrete Choice Experiment and the best available evidence data, to arrive at the percentage of patients who would prefer particular treatments from those in the listed options. It is suggested that these percentages could assist a GRADE panel determine whether to produce a strong or weak recommendation. However, any such group average preference-based recommendations are arguably in breach of both the reasonable patient legal standard for informed consent and simple ethical principles. The answer is not to localise, but personalise, decisions through the use of preference-sensitive multi-criteria decision support tools engaged with at the point of care.

Original languageEnglish
Title of host publicationDigital Personalized Health and Medicine
EditorsLouise B. Pape-Haugaard, Christian Lovis, Inge Cort Madsen, Patrick Weber
PublisherIOS Press
Publication date16. Jun 2020
ISBN (Print)978-1-64368-082-8
ISBN (Electronic)978-1-64368-083-5
Publication statusPublished - 16. Jun 2020
Event30th Medical Informatics Europe conference - Geneva, Geneva, Switzerland
Duration: 28. Apr 20201. May 2020
Conference number: 30


Conference30th Medical Informatics Europe conference
SeriesStudies in Health Technology and Informatics


  • Clinical Decision Support System
  • guidelines
  • multi-criteria decision support
  • osteoporosis
  • rheumatoid arthritis

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