ArticleImplementation science : IS2017
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation.
Article in Implementation science : IS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 168 papers, 11 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Participatory System Dynamics vs Audit and Feedback: A Cluster Randomized Trial of Mechanisms of Implementation Change to Expand Reach of Evidence-based Addiction and Mental Health Care
A Qualitative Study to Explore the Barriers to Adoption of Clinical Decision Support Systems
Who cites it
168 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Barriers and facilitators to the implementation and adoption of computerised clinical decision support systems: an overview of reviews.Systematic reviews · 2026Pooled it
- Magnetic resonance imaging and the evaluation of vestibular schwannomas: a systematic review.Neuroradiology · 2026Pooled it
- Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review.Implementation science : IS · 2024Pooled it
- Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder.The pharmacogenomics journal · 2023Pooled it
- Factors influencing the implementation of decision support systems for antibiotic prescription in hospitals: a systematic review.BMC medical informatics and decision making · 2023Pooled it
- Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.Journal of medical Internet research · 2023Pooled it
- Mapping inspiration in human resources: A systematic review of themes and approaches.F1000Research · 2023Pooled it
- Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake.Implementation science : IS · 2022Pooled it
- Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Decision Support Capabilities of Telemedicine in Emergency Prehospital Care: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification.Critical pathways in cardiology · 2020Pooled it
- Delivery of Lung-protective Ventilation for Acute Respiratory Distress Syndrome: A Hybrid Implementation-Effectiveness Trial.Annals of the American Thoracic Society · 2023Trial
- Effects of a Guideline-Informed Clinical Decision Support System Intervention to Improve Colony-Stimulating Factor Prescribing: A Cluster Randomized Clinical Trial.JAMA network open · 2022Trial
- Improving Antibiotic Stewardship for Diarrheal Disease With Probability-Based Electronic Clinical Decision Support: A Randomized Crossover Trial.JAMA pediatrics · 2022Trial
- Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2022Trial
- Clinical Decision Support Intervention for Rib Fracture Treatment.Journal of the American College of Surgeons · 2020Trial
- Does increased implementation support improve community clinics' guideline-concordant care? Results of a mixed methods, pragmatic comparative effectiveness trial.Implementation science : IS · 2019Trial
- Effectiveness of a Hospital-Based Computerized Decision Support System on Clinician Recommendations and Patient Outcomes: A Randomized Clinical Trial.JAMA network open · 2019Trial
- Barriers and facilitators for intensive care nurses in using clinical decision support systems for intravenous Y-site compatibility in intensive care: A survey study.International journal of nursing studies advances · 2026Article
- Participatory Design of AI-Based Clinical Decision Support Systems: Scoping Review.JMIR medical informatics · 2026Article
108 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
Abstract
backgroundAdvanced Computerized Decision Support Systems (CDSSs) assist clinicians in their decision-making process, generating recommendations based on up-to-date scientific evidence. Although this technology has the potential to improve the quality of patient care, its mere provision does not guarantee uptake: even where CDSSs are available, clinicians often fail to adopt their recommendations. This study examines the barriers and facilitators to the uptake of an evidence-based CDSS as perceived by diverse health professionals in hospitals at different stages of CDSS adoption.
methodsQualitative study conducted as part of a series of randomized controlled trials of CDSSs. The sample includes two hospitals using a CDSS and two hospitals that aim to adopt a CDSS in the future. We interviewed physicians, nurses, information technology staff, and members of the boards of directors (n = 30). We used a constant comparative approach to develop a framework for guiding implementation.
resultsWe identified six clusters of experiences of, and attitudes towards CDSSs, which we label as "positions." The six positions represent a gradient of acquisition of control over CDSSs (from low to high) and are characterized by different types of barriers to CDSS uptake. The most severe barriers (prevalent in the first positions) include clinicians' perception that the CDSSs may reduce their professional autonomy or may be used against them in the event of medical-legal controversies. Moving towards the last positions, these barriers are substituted by technical and usability problems related to the technology interface. When all barriers are overcome, CDSSs are perceived as a working tool at the service of its users, integrating clinicians' reasoning and fostering organizational learning.
conclusionsBarriers and facilitators to the use of CDSSs are dynamic and may exist prior to their introduction in clinical contexts; providing a static list of obstacles and facilitators, irrespective of the specific implementation phase and context, may not be sufficient or useful to facilitate uptake. Factors such as clinicians' attitudes towards scientific evidences and guidelines, the quality of inter-disciplinary relationships, and an organizational ethos of transparency and accountability need to be considered when exploring the readiness of a hospital to adopt CDSSs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.