STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care

Michiel C. Meulendijk, Marco R. Spruit, Paul A. F. Jansen, Mattijs E. Numans, Sjaak Brinkkemper

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


    The chronic use of multiple medicinal drugs is growing, partly because individual patients’ drugs have not been adequately prescribed by primary care physicians. In order to reduce these polypharmacy problems, the Systematic Tool to Reduce Inappropriate Prescribing (STRIP) has been created. To facilitate physicians’ use of the STRIP method, the STRIP Assistant (STRIPA) has been developed. STRIPA is a stand-alone web-based decision support system that advices physicians during the pharmacotherapeutic analysis of patients’ health records. In this paper the application’s architecture and rule engine, and the design decisions relating to the user interface and semantic interoperability, are described. An experimental validation of the prototype by general practitioners and pharmacists showed that users perform significantly better when optimizing medication with STRIPA than without. This leads the authors to believe that one process-oriented decision support system, built around a context-aware rule engine, operated through an intuitive user interface, is able to contribute to improving drug prescription practices.
    Original languageEnglish
    Title of host publication23rd European Conference on Information Systems, ECIS 2015, Münster, Germany, May 26-29, 2015
    Publication statusPublished - 2015


    Dive into the research topics of 'STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care'. Together they form a unique fingerprint.

    Cite this