Literature DB >> 21893732

Factors known to influence acceptance of clinical decision support systems.

E Kilsdonk1, L W P Peute, S L Knijnenburg, M W M Jaspers.   

Abstract

Clinical Decision Support Systems (CDSS) have been shown to improve clinical performance and patient outcomes, but the failure rate of such systems is still over 50 percent. To contribute to a wider understanding of issues surrounding CDDS acceptance, we performed a systematic review of studies that evaluated CDSS implementations in clinical care to determine the factors that are associated with acceptance of CDSS by physicians. The factors that were found were categorized according to the HOT-fit framework. The mapping of factors concerning CDSS acceptance 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 a lack of research on organizational factors. A potential area of research could thus be studying the organizational factors that may influence CDSS acceptance.

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Year:  2011        PMID: 21893732

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


  10 in total

1.  Using computational modeling to assess the impact of clinical decision support on cancer screening improvement strategies within the community health centers.

Authors:  Timothy Jay Carney; Geoffrey P Morgan; Josette Jones; Anna M McDaniel; Michael Weaver; Bryan Weiner; David A Haggstrom
Journal:  J Biomed Inform       Date:  2014-06-18       Impact factor: 6.317

2.  Clinical Decision Support for Worker Health: A Five-Site Qualitative Needs Assessment in Primary Care Settings.

Authors:  Joan S Ash; Dian Chase; Sherry Baron; Margaret S Filios; Richard N Shiffman; Stacey Marovich; Jane Wiesen; Genevieve B Luensman
Journal:  Appl Clin Inform       Date:  2020-09-30       Impact factor: 2.342

3.  Designing Colorectal Cancer Screening Decision Support: A Cognitive Engineering Enterprise.

Authors:  Laura G Militello; Jason J Saleem; Morgan R Borders; Christen E Sushereba; Donald Haverkamp; Steven P Wolf; Bradley N Doebbeling
Journal:  J Cogn Eng Decis Mak       Date:  2016-03

4.  "A Tool, Not a Crutch": Patient Perspectives About IBM Watson for Oncology Trained by Memorial Sloan Kettering.

Authors:  Jada G Hamilton; Margaux Genoff Garzon; Joy S Westerman; Elyse Shuk; Jennifer L Hay; Chasity Walters; Elena Elkin; Corinna Bertelsen; Jessica Cho; Bobby Daly; Ayca Gucalp; Andrew D Seidman; Marjorie G Zauderer; Andrew S Epstein; Mark G Kris
Journal:  J Oncol Pract       Date:  2019-01-28       Impact factor: 3.840

Review 5.  Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update).

Authors:  Jamie Ross; Fiona Stevenson; Rosa Lau; Elizabeth Murray
Journal:  Implement Sci       Date:  2016-10-26       Impact factor: 7.327

6.  Impact on process results of clinical decision support systems (CDSSs) applied to medication use: overview of systematic reviews.

Authors:  Wálleri C Reis; Aline F Bonetti; Wallace E Bottacin; Alcindo S Reis; Thaís T Souza; Roberto Pontarolo; Cassyano J Correr; Fernando Fernandez-Llimos
Journal:  Pharm Pract (Granada)       Date:  2017-12-18

7.  The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support.

Authors:  Stijn Van de Velde; Ilkka Kunnamo; Pavel Roshanov; Tiina Kortteisto; Bert Aertgeerts; Per Olav Vandvik; Signe Flottorp
Journal:  Implement Sci       Date:  2018-06-25       Impact factor: 7.327

8.  A qualitative framework-based evaluation of radiology clinical decision support initiatives: eliciting key factors to physician adoption in implementation.

Authors:  Laura Haak Marcial; Douglas S Johnston; Michael R Shapiro; Sara R Jacobs; Barry Blumenfeld; Lucia Rojas Smith
Journal:  JAMIA Open       Date:  2019-02-22

9.  Feasibility study of a clinical decision support system for the management of multimorbid seniors in primary care: study protocol.

Authors:  Birgitta Weltermann; Christine Kersting
Journal:  Pilot Feasibility Stud       Date:  2016-03-12

10.  Integrating a Web-Based Self-Management Tool (Managing Joint Pain on the Web and Through Resources) for People With Osteoarthritis-Related Joint Pain With a Web-Based Social Network Support Tool (Generating Engagement in Network Involvement): Design, Development, and Early Evaluation.

Authors:  Paul Clarkson; Ivaylo Vassilev; Anne Rogers; Charlotte Brooks; Nicky Wilson; Jem Lawson; Jo Adams
Journal:  JMIR Form Res       Date:  2020-11-26
  10 in total

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