SynthesisThe European journal of general practice2015
Reducing diagnostic errors in primary care. A systematic meta-review of computerized diagnostic decision support systems by the LINNEAUS collaboration on patient safety in primary care.
Synthesis in The European journal of general practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses 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
35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 70 citations in OpenAlex.
- Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation.BMJ health & care informatics · 2026Pooled it
- Strategies to reduce diagnostic errors: a systematic review.BMC medical informatics and decision making · 2019Pooled 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
- Computer-Based Driving in Dementia Decision Tool With Mail Support: Cluster Randomized Controlled Trial.Journal of medical Internet research · 2018Trial
- Scoping review of patient and family engagement interventions in diagnosis: a paradox of too much, yet so little.BMJ quality & safety · 2026Article
- Acceptability, Usability, and Perceived Quality of Care of a Digital Decision Support System in Tele-Primary Health Care in Sindh, Pakistan: Sequential Explanatory Mixed Methods Pilot Study.JMIR formative research · 2026Article
- Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors.Diagnostics (Basel, Switzerland) · 2026Review
- Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards.BMC medical informatics and decision making · 2025Article
- Sources of diagnostic delay for people with Crohn's disease and ulcerative colitis: Qualitative research study.PloS one · 2024Article
- Requirements analysis for an AI-based clinical decision support system for general practitioners: a user-centered design process.BMC medical informatics and decision making · 2023Article
- Evaluating the Diagnostic Accuracy of a Novel Bayesian Decision-Making Algorithm for Vision Loss.Vision (Basel, Switzerland) · 2022Article
- Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.JMIR human factors · 2022Review
- General Practitioners' Attitudes Toward Artificial Intelligence-Enabled Systems: Interview Study.Journal of medical Internet research · 2022Article
- Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review.International journal of environmental research and public health · 2021Article
- General practitioner and nurse practitioner attitudes towards electronic reminders in primary care: a qualitative analysis.BMJ open · 2021Article
- Clinical features in primary care electronic records before diagnosis of ankylosing spondylitis: a nested case-control study.BMC family practice · 2020Article
- Patient and provider perspectives on reducing risk of harm in primary health care: a qualitative questionnaire study in Sweden.Scandinavian journal of primary health care · 2020Article
- Review
- Understanding the roles of three academic communities in a prospective learning health ecosystem for diagnostic excellence.Learning health systems · 2020Article
- Merits, features, and desiderata to be considered when developing electronic health records with embedded clinical decision support systems in Palestinian hospitals: a consensus study.BMC medical informatics and decision making · 2019Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputerized diagnostic decision support systems (CDDSS) have the potential to support the cognitive task of diagnosis, which is one of the areas where general practitioners have greatest difficulty and which accounts for a significant proportion of adverse events recorded in the primary care setting.
objectiveTo determine the extent to which CDDSS may meet the requirements of supporting the cognitive task of diagnosis, and the currently perceived barriers that prevent the integration of CDDSS with electronic health record (EHR) systems.
methodsWe conducted a meta-review of existing systematic reviews published in English, searching MEDLINE, Embase, PsycINFO and Web of Knowledge for articles on the features and effectiveness of CDDSS for medical diagnosis published since 2004. Eligibility criteria included systematic reviews where individual clinicians were primary end users. Outcomes we were interested in were the effectiveness and identification of specific features of CDDSS on diagnostic performance.
resultsWe identified 1970 studies and excluded 1938 because they did not fit our inclusion criteria. A total of 45 articles were identified and 12 were found suitable for meta-review. Extraction of high-level requirements identified that a more standardized computable approach is needed to knowledge representation, one that can be readily updated as new knowledge is gained. In addition, a deep integration with the EHR is needed in order to trigger at appropriate points in cognitive workflow.
conclusionDeveloping a CDDSS that is able to utilize dynamic vocabulary tools to quickly capture and code relevant diagnostic findings, and coupling these with individualized diagnostic suggestions based on the best-available evidence has the potential to improve diagnostic accuracy, but requires evaluation.
Indexed as
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What OpenQuestion holds
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.