ArticleJournal of general internal medicine2008
Performance of a web-based clinical diagnosis support system for internists.
Article in Journal of general internal medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care.Journal of clinical monitoring and computing · 2017Pooled it
- The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis.PloS one · 2016Pooled it
- Appropriate semantic qualifiers increase diagnostic accuracy when using a clinical decision support system: a randomized controlled trial.BMC medical education · 2025Trial
- Can clinical decision support systems be an asset in medical education? An experimental approach.BMC medical education · 2023Trial
- Improving decision accuracy using a clinical decision support system for medical students during history-taking: a randomized clinical trial.BMC medical education · 2023Trial
- Should electronic differential diagnosis support be used early or late in the diagnostic process? A multicentre experimental study of Isabel.BMJ quality & safety · 2022Trial
- Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students.Arthritis research & therapy · 2021Trial
- Nurse Practitioner Students' Perceptions of an Artificial Intelligence Differential Diagnosis Tool: A Pilot Study.Journal of clinical nursing · 2026Article
- Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases.Orphanet journal of rare diseases · 2025Article
- [Retrospective analysis of a patient cohort with suspicion of systemic amyloidosis, finally not confirmed].Deutsche medizinische Wochenschrift (1946) · 2025Article
- Relationship between diagnostic accuracy and self-confidence among medical students when using Google search: A mixed-method study.PloS one · 2025Article
- Comparative Analysis of Diagnostic Performance: Differential Diagnosis Lists by LLaMA3 Versus LLaMA2 for Case Reports.JMIR formative research · 2024Article
- Comparative Study to Evaluate the Accuracy of Differential Diagnosis Lists Generated by Gemini Advanced, Gemini, and Bard for a Case Report Series Analysis: Cross-Sectional Study.JMIR medical informatics · 2024Article
- Evaluating ChatGPT-4's Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases.JMIR formative research · 2024Article
- Evaluating ChatGPT-4's Diagnostic Accuracy: Impact of Visual Data Integration.JMIR medical informatics · 2024Article
- Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice: Survey Study.JMIR human factors · 2024Article
- Rare diseases: why is a rapid referral to an expert center so important?BMC health services research · 2023Article
- Article
- Electronic Diagnostic Support in Emergency Physician Triage: Qualitative Study With Thematic Analysis of Interviews.JMIR human factors · 2022Article
- Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin.BMC medical informatics and decision making · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical decision support systems can improve medical diagnosis and reduce diagnostic errors. Older systems, however, were cumbersome to use and had limited success in identifying the correct diagnosis in complicated cases.
objectiveTo measure the sensitivity and speed of "Isabel" (Isabel Healthcare Inc., USA), a new web-based clinical decision support system designed to suggest the correct diagnosis in complex medical cases involving adults.
methodsWe tested 50 consecutive Internal Medicine case records published in the New England Journal of Medicine. We first either manually entered 3 to 6 key clinical findings from the case (recommended approach) or pasted in the entire case history. The investigator entering key words was aware of the correct diagnosis. We then determined how often the correct diagnosis was suggested in the list of 30 differential diagnoses generated by the clinical decision support system. We also evaluated the speed of data entry and results recovery.
resultsThe clinical decision support system suggested the correct diagnosis in 48 of 50 cases (96%) with key findings entry, and in 37 of the 50 cases (74%) if the entire case history was pasted in. Pasting took seconds, manual entry less than a minute, and results were provided within 2-3 seconds with either approach.
conclusionsThe Isabel clinical decision support system quickly suggested the correct diagnosis in almost all of these complex cases, particularly with key finding entry. The system performed well in this experimental setting and merits evaluation in more natural settings and clinical practice.
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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.