ArticleJMIR human factors2019
Live Usability Testing of Two Complex Clinical Decision Support Tools: Observational Study.
Article in JMIR human factors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- The implementation challenge of computerised clinical decision support systems for the detection of disease in primary care: systematic review and recommendations.Implementation science : IS · 2025Pooled it
- Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review.JMIR human factors · 2025Pooled it
- Pooled it
- Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review.Annals of family medicinePooled it
- Development and proof-of-concept of a complex intervention to support appropriate imaging for musculoskeletal pain: the Betti programme.Implementation science communications · 2026Article
- Beyond models: a paradigm shift toward human-centered AI system design.Critical care (London, England) · 2025Article
- Clinical decision making and risk appraisal using electronic risk assessment tools for cancer diagnosis: a qualitative study of GP experiences.BJGP open · 2025Article
- Novel Note Templates to Enhance Signal and Reduce Noise in Medical Documentation: Prospective Improvement Study.JMIR formative research · 2023Article
- Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review.BMC primary care · 2023Article
- Real-Time User Feedback to Support Clinical Decision Support System Improvement.Applied clinical informatics · 2022Article
- Usability and Utility of Human Immunodeficiency Virus Pre-exposure Prophylaxis Clinical Decision Support to Increase Knowledge and Pre-exposure Prophylaxis Initiations among Pediatric Providers.Applied clinical informatics · 2022Article
- Implementation of App-Based Diabetes Medication Management: Outpatient and Perioperative Clinical Decision Support.Current diabetes reports · 2021Review
- Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems.Journal of medical Internet research · 2021Article
- Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Human Factors and Organizational Issues.Yearbook of medical informatics · 2020Review
- How to Develop and Implement a Computerized Decision Support System Integrated for Antimicrobial Stewardship? Experiences From Two Swiss Hospital Systems.Frontiers in digital health · 2020Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundPotential of the electronic health records (EHR) and clinical decision support (CDS) systems to improve the practice of medicine has been tempered by poor design and the resulting burden they place on providers. CDS is rarely tested in the real clinical environment. As a result, many tools are hard to use, placing strain on providers and resulting in low adoption rates. The existing CDS usability literature relies primarily on expert opinion and provider feedback via survey. This is the first study to evaluate CDS usability and the provider-computer-patient interaction with complex CDS in the real clinical environment.
objectiveThis study aimed to further understand the barriers and facilitators of meaningful CDS usage within a real clinical context.
methodsThis qualitative observational study was conducted with 3 primary care providers during 6 patient care sessions. In patients with the chief complaint of sore throat, a CDS tool built with the Centor Score was used to stratify the risk of group A Streptococcus pharyngitis. In patients with a chief complaint of cough or upper respiratory tract infection, a CDS tool built with the Heckerling Rule was used to stratify the risk of pneumonia. During usability testing, all human-computer interactions, including audio and continuous screen capture, were recorded using the Camtasia software. Participants' comments and interactions with the tool during clinical sessions and participant comments during a postsession brief interview were placed into coding categories and analyzed for generalizable themes.
resultsIn the 6 encounters observed, primary care providers toggled between addressing either the computer or the patient during the visit. Minimal time was spent listening to the patient without engaging the EHR. Participants mostly used the CDS tool with the patient, asking questions to populate the calculator and discussing the results of the risk assessment; they reported the ability to do this as the major benefit of the tool. All providers were interrupted during their use of the CDS tool by the need to refer to other sections of the chart. In half of the visits, patients' clinical symptoms challenged the applicability of the tool to calculate the risk of bacterial infection. Primary care providers rarely used the incorporated incentives for CDS usage, including progress notes and patient instructions.
conclusionsLive usability testing of these CDS tools generated insights about their role in the patient-provider interaction. CDS may contribute to the interaction by being simultaneously viewed by the provider and patient. CDS can improve usability and lessen the strain it places on providers by being short, flexible, and customizable to unique provider workflow. A useful component of CDS is being as widely applicable as possible and ensuring that its functions represent the fastest way to perform a particular task.
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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.