Literature DB >> 28883185

Factors Influencing the Implementation and Distribution of Clinical Decision Support Systems (CDSS).

Benjamin R Kux1, Raphael W Majeed1, Janko Ahlbrandt1, Rainer Röhrig1.   

Abstract

Clinical Decision Support Systems (CDSS) can have positive effects on quality of care measures, yet have not gained widespread traction in healthcare. This study sought to determine and evaluate barriers and facilitators to CDSS implementation and distribution. Based on 768 systems identified in a literature review we conducted semi-structured telephone interviews with 54 system developers in 16 countries. Qualitative analysis led to the identification of 66 key factors influencing implementation. Central issues evolved around CDSS properties, quality and integration, as well as usability, user related factors, internal marketing, resource issues and collaborations with emphasis partly on topics differing from existing research. Additionally, evidence pointed to regional differences regarding implementation hurdles. Recent regulatory requirements were deemed less of a barrier to system adoption than expected, even though lacking expertise in this area was surprisingly common among interview partners.

Keywords:  Barrier; Clinical Decision Support Systems; Health Information Systems; Medical Device Legislations; Medical Devices

Mesh:

Year:  2017        PMID: 28883185

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  The development and evaluation of a computerized decision aid for the treatment of psychotic disorders.

Authors:  Magda Tasma; Lukas O Roebroek; Edith J Liemburg; Henderikus Knegtering; Philippe A Delespaul; Albert Boonstra; Marte Swart; Stynke Castelein
Journal:  BMC Psychiatry       Date:  2018-06-01       Impact factor: 3.630

2.  Qualitative analysis of clinicians' perspectives on the use of a computerized decision aid in the treatment of psychotic disorders.

Authors:  Lukas O Roebroek; Jojanneke Bruins; Philippe Delespaul; Albert Boonstra; Stynke Castelein
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-17       Impact factor: 2.796

3.  Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.

Authors:  Huixian Zha; Kouying Liu; Ting Tang; Yue-Heng Yin; Bei Dou; Ling Jiang; Hongyun Yan; Xingyue Tian; Rong Wang; Weiping Xie
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-19       Impact factor: 3.298

  3 in total

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