title: Factors influencing implementation success of guideline-based clinical decision support systems: A systematic review and gaps analysis.
abstract: To provide an integrated and differentiated understanding of factors influencing guideline-based CDSS implementation and illustrate the gaps in the current literature.
  
  
  
  A systematic literature review and in-depth exploration of factors impeding or facilitating successful implementation of guideline-based CDSS supporting physicians in clinical decision-making was performed. Factors were identified thematically by textual analysis of the included publications and were individually mapped to the human, organization and technology-fit (HOT-fit) framework for evaluating implementations of health information systems.
  
  
  
  A total of 421 factors were found in 35 included publications from a total of 3676 publications. The mapping of factors concerning CDSS implementation on the HOT-fit framework revealed gaps in each domain of the framework and showed that research has mainly focused on human and technology factors and less on organizational factors.
  
  
  
  Future research within the field of guideline-based CDSS should focus on evaluating implementations through the use of socio-technical models to study guideline-based CDSS system implementations from a multidimensional view. Furthermore, research is needed to explore whether use of these models during the planning phases of a CDSS project is useful in anticipating and preventing implementation barriers from occurring and exploiting facilitators to a successful implementation of the system.
authors.affiliation: Centre for Human Factors Engineering of Interactive Health Information Technology (HIT-lab), Department of Medical Informatics, Academic Medical Center, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, The Netherlands. Electronic address: e.kilsdonk@amc.uva.nl.
authors.forename: E
authors.initials: E
authors.lastname: Kilsdonk
authors.affiliation: Centre for Human Factors Engineering of Interactive Health Information Technology (HIT-lab), Department of Medical Informatics, Academic Medical Center, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, The Netherlands. Electronic address: l.w.peute@amc.uva.nl.
authors.forename: L W
authors.initials: LW
authors.lastname: Peute
authors.affiliation: Centre for Human Factors Engineering of Interactive Health Information Technology (HIT-lab), Department of Medical Informatics, Academic Medical Center, University of Amsterdam, PO Box 22660, 1100 DD Amsterdam, The Netherlands. Electronic address: m.w.jaspers@amc.uva.nl.
authors.forename: M W M
authors.initials: MW
authors.lastname: Jaspers
mesh_terms: D020000:Decision Support Systems, Clinical / Q000592:standards*; D006284:Health Plan Implementation; D006801:Humans; D017410:Practice Guidelines as Topic
keywords: Clinical decision support system; Clinical guidelines; Human factors engineering; Implementation success