ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2006
Diagnostic decision support systems: why aren't they used more and what can we do about it?
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- 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
- [Short paths to diagnosis with artificial intelligence: systematic literature review on diagnostic decision support systems].Schmerz (Berlin, Germany) · 2024Pooled it
- Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings.Scientific reports · 2024Article
- "What brought you in today?": Modeling patient-provider clinic visits to characterize rural providers' antibiotic treatment decisions.Research in social & administrative pharmacy : RSAP · 2023Article
- A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2D.Orphanet journal of rare diseases · 2023Article
- Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence-Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation.JMIR formative research · 2022Article
- Assessing the Performance of a New Artificial Intelligence-Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study.JMIR medical informatics · 2021Article
- Evaluation of a clinical decision support system for rare diseases: a qualitative study.BMC medical informatics and decision making · 2021Article
- Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study.BMC medical informatics and decision making · 2020Article
- An overview of clinical decision support systems: benefits, risks, and strategies for success.NPJ digital medicine · 2020Review
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
- Reducing risk with clinical decision support: a study of closed malpractice claims.Applied clinical informatics · 2014Article
- Beyond the threshold: real-time use of evidence in practice.BMC medical informatics and decision making · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
17238783PMC1839633What 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.