Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems: report by an international expert workshop at Karolinska Institutet

Mikael Hoffmann, Robert Vander Stichele, David W. Bates, Johanna Björklund, Steve Alexander, Marine L. Andersson, Ane Auraaen, Marion Bennie, Marja Liisa Dahl, Birgit Eiermann, Werner Hackl, Tora Hammar, Paul Hjemdahl, Sabine Koch, Ilkka Kunnamo, Herve Le Louët, Papapetrou Panagiotis, Lembit Rägo, Michael Spedding, Hanna M. SeidlingDina Demner-Fushman, Lars L. Gustafsson

Research output: Contribution to journalArticlepeer-review

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Introduction: Technical and logical breakthroughs have provided new opportunities in medicine to use knowledge bases and large-scale clinical data (real-world) at point-of-care as part of a learning healthcare system to diminish the knowledge-practice gap. Areas covered: The article is based on presentations, discussions and recommendations from an international scientific workshop. Value, research needs and funding avenues of knowledge bases and access to real-world data as well as transparency and incorporation of patient perspectives are discussed. Expert opinion: Evidence-based, publicly funded, well-structured and curated knowledge bases are of global importance. They ought to be considered as a public responsibility requiring transparency and handling of conflicts of interest. Information has to be made accessible for clinical decision support systems (CDSS) for healthcare staff and patients. Access to rich and real-world data is essential for a learning health care ecosystem and can be augmented by data on patient-reported outcomes and preferences. This field can progress by the establishment of an international policy group for developing a best practice guideline on the development, maintenance, governance, evaluation principles and financing of open-source knowledge bases and handling of real-world data.

Original languageEnglish
Pages (from-to)925-934
Number of pages10
JournalExpert Review of Clinical Pharmacology
Issue number9
Publication statusPublished - 1 Sep 2020


  • clinical
  • Decision Support Systems
  • delivery of Health Care/methods
  • electronic Health Records
  • knowledge Bases
  • rational Use of Medicines
  • real-world Data

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