ReviewThe Yale journal of biology and medicine2014
Clinical decision support: effectiveness in improving quality processes and clinical outcomes and factors that may influence success.
Review in The Yale journal of biology and medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03537638 (Effectiveness and Cost-effectiveness of a Multicomponent Strategy to Implement a Clinical Practice Guideline and Improve Health Outcomes in People With Systemic Lupus Erythematosus), which is not on this map. Cited by 54 papers, 5 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.
Effectiveness and Cost-effectiveness of a Multicomponent Strategy to Implement a Clinical Practice Guideline and Improve Health Outcomes in People With Systemic Lupus Erythematosus
Who cites it
54 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Implementation, adoption and impact of clinical decision support system for antibiotic prescribing in primary care: a systematic review.The Journal of antimicrobial chemotherapy · 2026Pooled it
- Alert fatigue measurement in clinical decision support: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2026Pooled it
- Strategies and outcomes of CDSS implementation for antimicrobial stewardship in hospital settings: a systematic review.Antimicrobial resistance and infection control · 2026Pooled it
- Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review.BMC medical research methodology · 2022Pooled it
- A meta-analysis of Watson for Oncology in clinical application.Scientific reports · 2021Pooled it
- Point-of-care tools to support optometric care provision to people with age-related macular degeneration: A randomised, placebo-controlled trial.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022Trial
- Effect of Clinical Decision Support at Community Health Centers on the Risk of Cardiovascular Disease: A Cluster Randomized Clinical Trial.JAMA network open · 2022Trial
- An electronic health record-based interoperable eReferral system to enhance smoking Quitline treatment in primary care.Journal of the American Medical Informatics Association : JAMIA · 2019Trial
- Implementing a digital platform for the oncology unit at Dalal Jamm hospital, Senegal.Frontiers in digital health · 2026Article
- Development and implementation of "BMC digital health · 2026Article
- Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology.Studies in health technology and informatics · 2024Article
- A Discount Approach to Reducing Nursing Alert Burden.Applied clinical informatics · 2024Article
- Suicide Screening, Risk Assessment, and Lethal Means Counseling During Zero Suicide Implementation.Psychiatric services (Washington, D.C.) · 2024Article
- The Fidelity of Artificial Intelligence to Multidisciplinary Tumor Board Recommendations for Patients with Gastric Cancer: A Retrospective Study.Journal of gastrointestinal cancer · 2024Article
- Practice facilitation for scale up of clinical decision support for hypertension management: study protocol for a cluster randomized control trial.Contemporary clinical trials · 2023Article
- Evaluating the costs and consequences of computerized clinical decision support systems in hospitals: a scoping review and recommendations for future practice.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Article
- Refining Clinical Phenotypes to Improve Clinical Decision Support and Reduce Alert Fatigue: A Feasibility Study.Applied clinical informatics · 2023Article
- Partner-developed electronic health record tools to facilitate social risk-informed care planning.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Development and retrospective evaluation of a clinical decision support system for the efficient detection of drug-related problems by clinical pharmacists.International journal of clinical pharmacy · 2023Article
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
The use of electronic health records has skyrocketed following the 2009 HITECH Act, which provides financial incentives to health care providers for the "meaningful use" of electronic medical record systems. An important component of the "Meaningful Use" legislation is the integration of Clinical Decision Support Systems (CDSS) into the computerized record, providing up-to-date medical knowledge and evidence-based guidance to the physician at the point of care. As reimbursement is increasingly tied to process and clinical outcomes, CDSS will be integral to future medical practice. Studies of CDSS indicate improvement in preventive services, appropriate care, and clinical and cost outcomes with strong evidence for CDSS effectiveness in process measures. Increasing provider adherence to CDSS recommendations is essential in improving CDSS effectiveness, and factors that influence adherence are currently under study.
Indexed as
Identifiers
24910564PMC4031792What 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.