ReviewJournal of the American Medical Informatics Association : JAMIA2017
The use of computerized clinical decision support systems in emergency care: a substantive review of the literature.
Review in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- Scope and Influence of Electronic Health Record-Integrated Clinical Decision Support in the Emergency Department: A Systematic Review.Annals of emergency medicine · 2019Pooled it
- User-Centered Redesign of a Clinical Decision Support System for Pneumonia in the Emergency Department.Applied clinical informatics · 2026Article
- Physicians' perceptions of how digital-intelligent medical technology reshapes job characteristics: a qualitative study.BMC health services research · 2025Article
- Study protocol for the design, implementation, and evaluation of the STRATIFY clinical decision support tool for emergency department disposition of patients with heart failure.Implementation science communications · 2025Article
- Review
- Usability of a Human Factors-based Clinical Decision Support in the Emergency Department: Lessons Learned for Design and Implementation.Human factors · 2024Article
- 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
- The Priorities of End Users of Emergency Department Electronic Health Records: Modified Delphi Study.JMIR human factors · 2023Article
- Handheld Computer Devices to Support Clinical Decision-making in Acute Nursing Practice: Systematic Scoping Review.Journal of medical Internet research · 2023Article
- Effects of Hospital Digitization on Clinical Outcomes and Patient Satisfaction: Nationwide Multiple Regression Analysis Across German Hospitals.Journal of medical Internet research · 2022Article
- Decision Support to Improve Critical Care Services Documentation in an Academic Emergency Department.Applied clinical informatics · 2022Article
- Usability barriers and facilitators of a human factors engineering-based clinical decision support technology for diagnosing pulmonary embolism.International journal of medical informatics · 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
- Use of machine learning to predict clinical decision support compliance, reduce alert burden, and evaluate duplicate laboratory test ordering alerts.JAMIA open · 2021Article
- Strategies to measure and improve emergency department performance: a scoping review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2020Article
- Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.BMJ quality & safety · 2020Article
- Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Validation of the Pediatric Appendicitis Risk Calculator (pARC) in a Community Emergency Department Setting.Annals of emergency medicine · 2019Observational
- Clinical Information Systems and Artificial Intelligence: Recent Research Trends.Yearbook of medical informatics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectives: This paper provides a substantive review of international literature evaluating the impact of computerized clinical decision support systems (CCDSSs) on the care of emergency department (ED) patients. MATERIAL AND
methods: A literature search was conducted using Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), Embase electronic resources, and gray literature. Studies were selected if they compared the use of a CCDSS with usual care in a face-to-face clinical interaction in an ED.
results: Of the 23 studies included, approximately half demonstrated a statistically significant positive impact on aspects of clinical care with the use of CCDSSs. The remaining studies showed small improvements, mainly around documentation. However, the methodological quality of the studies was poor, with few or no controls to mitigate against confounding variables. The risk of bias was high in all but 6 studies. DISCUSSION: : The ED environment is complex and does not lend itself to robust quantitative designs such as randomized controlled trials. The quality of the research in ∼75% of the studies was poor, and therefore conclusions cannot be drawn from these results. However, the studies with a more robust design show evidence of the positive impact of CCDSSs on ED patient care.
conclusionThis is the first review to consider the role of CCDSSs in emergency care and expose the research in this area. The role of CCDSSs in emergency care may provide some solutions to the current challenges in EDs, but further high-quality research is needed to better understand what technological solutions can offer clinicians and patients.
Indexed as
Identifiers
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.