Background Computerised decision support systems (CDSSs) are increasingly used to improve the uptake of guidelines. However, there is large variation in types of decision support provided, types of supported guidelines and recommendations, and types of healthcare settings in which CDSSs are applied. In addition, the effectiveness varies across systems, whereas determinants for success and failure are largely unknown.Objectives To provide opportunities for sharing experiences and discussing lessons learned in the use of CDSSs in different countries.Target Group Guideline developers, guideline implementers, clinicians, researchers, policy makers.Moderator Jako Burgers, Dutch College of General Practitioners (NHG), The Netherlands Invited speakers: Marjolein Lugtenberg, IQ healthcare, Radboud University Nijmegen Medical Centre, The Netherlands. Linn Brandt, Inlandet Hospital Trust/University of Oslo, Norway. Ilkka Kunnamo, Duodecim Medical Publications Ltd./University of Helsinki, Finland. Richard Shiffman, Center for Medical Informatics, Yale University, USA.Description of Session and Speaker Topics In this session initiatives on CDSSs from four different countries (The Netherlands, Norway, Finland, and the USA) will be presented, each taking a different perspective on the use of CDSSs to improve the uptake of guidelines. Issues that will be considered are how to deal with various alerts within multiple disease areas, distinguishing alerts from strong and weak guideline recommendations, and creating composite views of data and recommendations. Finally, conclusions are drawn on the strengths and weaknesses of developing, implementing, and evaluating each system and lessons learned will be discussed with the audience.
CITATION STYLE
Lugtenberg, M., Brandt, L., Kunnamo, I., Shiffman, R., & Burgers, J. (2013). 017PS Using Computerized Decision Support Systems to Improve the Uptake of Guidelines: Perspectives from Different Countries. BMJ Quality & Safety, 22(Suppl 1), A6.3-A7. https://doi.org/10.1136/bmjqs-2013-002293.17
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