ArticleJournal of the American Medical Informatics Association : JAMIA
Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 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
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Clinical Decision Support and Natural Language Processing in Medicine: Systematic Literature Review.Journal of medical Internet research · 2024Pooled it
- Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018Pooled it
- The application of crowdsourcing approaches to cancer research: a systematic review.Cancer medicine · 2017Pooled it
- Evaluation of the effect of decision support on the efficiency of primary care providers in the outpatient practice.Journal of primary care & community health · 2015Trial
- Identifying Patients with Heart Failure Eligible for Guideline-Directed Medical Therapy.Population health management · 2024Article
- Benefits of Clinical Decision Support Systems for the Management of Noncommunicable Chronic Diseases: Targeted Literature Review.Interactive journal of medical research · 2024Review
- Combining text mining with clinical decision support in clinical practice: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The Application of Knowledge-Based Clinical Decision Support Systems to Enhance Adherence to Evidence-Based Medicine in Chronic Disease.Journal of healthcare engineering · 2023Review
- Crowd-Sourced Reliability of an Assessment of Lower Facial Aging Using a Validated Visual Scale.Plastic and reconstructive surgery. Global open · 2021Article
- Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance.Medical physics · 2020Review
- Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Development of a Tailored Intervention With Computerized Clinical Decision Support to Improve Quality of Care for Patients With Knee Osteoarthritis: Multi-Method Study.JMIR research protocols · 2018Article
- Impact of Patient Reminders on Papanicolaou Test Completion for High-Risk Patients Identified by a Clinical Decision Support System.Journal of women's health (2002) · 2018Article
- Improving the Accuracy of a Clinical Decision Support System for Cervical Cancer Screening and Surveillance.Applied clinical informatics · 2018Article
- Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention.JMIR medical informatics · 2016Article
- Crowdsourcing in biomedicine: challenges and opportunities.Briefings in bioinformatics · 2016Review
- 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
- Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.Applied clinical informatics · 2015Article
- Granular Quality Reporting for Cervical Cytology Testing.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- "Big data" and the electronic health record.Yearbook of medical informatics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectivesWe previously developed and reported on a prototype clinical decision support system (CDSS) for cervical cancer screening. However, the system is complex as it is based on multiple guidelines and free-text processing. Therefore, the system is susceptible to failures. This report describes a formative evaluation of the system, which is a necessary step to ensure deployment readiness of the system. MATERIALS AND
methodsCare providers who are potential end-users of the CDSS were invited to provide their recommendations for a random set of patients that represented diverse decision scenarios. The recommendations of the care providers and those generated by the CDSS were compared. Mismatched recommendations were reviewed by two independent experts.
resultsA total of 25 users participated in this study and provided recommendations for 175 cases. The CDSS had an accuracy of 87% and 12 types of CDSS errors were identified, which were mainly due to deficiencies in the system's guideline rules. When the deficiencies were rectified, the CDSS generated optimal recommendations for all failure cases, except one with incomplete documentation. DISCUSSION AND
conclusionsThe crowd-sourcing approach for construction of the reference set, coupled with the expert review of mismatched recommendations, facilitated an effective evaluation and enhancement of the system, by identifying decision scenarios that were missed by the system's developers. The described methodology will be useful for other researchers who seek rapidly to evaluate and enhance the deployment readiness of complex decision support systems.
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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.