ArticleClinical medicine (London, England)2014
Decision time for clinical decision support systems.
Article in Clinical medicine (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in anaesthesiology: why don't we have it in our hands after a decade of innovation? A systematic review and perspective.BMC anesthesiology · 2026Pooled it
- Article
- Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review.Journal of medical Internet research · 2023Article
- Adapting a clinical decision support system to improve identification of pediatric hypertension in a rural health system: Design of a pragmatic trial.Contemporary clinical trials · 2023Article
- Article
- Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.PloS one · 2023Article
- Pros and cons of streamlining and use of computerised clinical decision support systems to future-proof oncological multidisciplinary team meetings.Frontiers in oncology · 2023Article
- Previous, current, and future stereotactic EEG techniques for localising epileptic foci.Expert review of medical devices · 2022Review
- Assessing the Performance of a New Artificial Intelligence-Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study.JMIR medical informatics · 2021Article
- Optimizing Clinical Monitoring Tools to Enhance Patient Review by Pharmacists.Applied clinical informatics · 2021Article
- Implementation of a computer-guided consultation in the assessment of suspected obstructive sleep apnoea syndrome.ERJ open research · 2020Article
- EHR-Independent Predictive Decision Support Architecture Based on OMOP.Applied clinical informatics · 2020Article
- The Effect of Higher Level Computerized Clinical Decision Support Systems on Oncology Care: A Systematic Review.Cancers · 2020Review
- Challenges for the evaluation of digital health solutions-A call for innovative evidence generation approaches.NPJ digital medicine · 2020Review
- The Future of Health Care: Protocol for Measuring the Potential of Task Automation Grounded in the National Health Service Primary Care System.JMIR research protocols · 2019Article
- Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers.Applied clinical informatics · 2018Article
- A virtual clinic to improve long-term outcomes in chronic kidney disease.Clinical medicine (London, England) · 2018Article
- Using Demographic Factors and Comorbidities to Develop a Predictive Model for ICU Mortality in Patients with Acute Exacerbation COPD.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Test Case Selection in Pre-Deployment Testing of Complex Clinical Decision Support Systems.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical decision support systems are interactive software systems designed to help clinicians with decision-making tasks, such as determining a diagnosis or recommending a treatment for a patient. Clinical decision support systems are a widely researched topic in the computer science community, but their inner workings are less well understood by, and known to, clinicians. This article provides a brief explanation of clinical decision support systems and some examples of real-world systems. It also describes some of the challenges to implementing these systems in clinical environments and posits some reasons for the limited adoption of decision-support systems in practice. It aims to engage clinicians in the development of decision support systems that can meaningfully help with their decision-making tasks and to open a discussion about the future of automated clinical decision support as a part of healthcare delivery.
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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.