ArticleEGEMS (Washington, DC)2019
Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN.
Article in EGEMS (Washington, DC), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Effect of Clinical Decision Support on Diagnostic Imaging for Pediatric Appendicitis: A Cluster Randomized Trial.JAMA network open · 2021Trial
- Risk Factors for False-Positive Ultrasound in Pediatric Acute Appendicitis: A Prospective Cohort Study.Indian journal of pediatrics · 2026Article
- Article
- Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study.Frontiers in pediatrics · 2022Article
- Graded Coronary Risk Stratification for Emergency Department Patients With Chest Pain: A Controlled Cohort Study.Journal of the American Heart Association · 2021Article
- Electronic clinical decision support for children with minor head trauma and intracranial injuries: a sociotechnical analysis.BMC medical informatics and decision making · 2021Article
- Prospective Validation and Comparative Analysis of Coronary Risk Stratification Strategies Among Emergency Department Patients With Chest Pain.Journal of the American Heart Association · 2021Article
- Article
- Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review.Informatics (MDPI) · 2020Article
- Diagnostic Performance of Emergency Physician Gestalt for Predicting Acute Appendicitis in Patients Age 5 to 20 Years.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2020Article
- Text message alerts to emergency physicians identifying potential study candidates increase clinical trial enrollment.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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundAppendicitis is a common surgical emergency in children, yet diagnosis can be challenging. An electronic health record (EHR) based, clinical decision support (CDS) system called Appy CDS was designed to help guide management of pediatric patients with acute abdominal pain within the Health Care Systems Research Network (HCSRN).
objectivesTo describe the development and implementation of a clinical decision support tool (Appy CDS) built independently but synergistically at two large HCSRN affiliated health systems using well-established platforms, and to assess the tool's Triage component, aiming to identify pediatric patients at increased risk for appendicitis.
resultsDespite differences by site in design and implementation, such as the use of alerts, incorporating gestalt, and other workflow variations across sites, using simple screening questions and automated exclusions, both systems were able to identify a population with similar appendicitis rates (11.8 percent and 10.6 percent), where use of the full Appy CDS would be indicated. DISCUSSION: These 2 HCSRN sites designed Appy CDS to capture a population at risk for appendicitis and deliver CDS to that population while remaining locally relevant and adhering to organizational preferences. Despite different approaches to point-of-care CDS, the sites have identified similar cohorts with nearly identical background rates of appendicitis. NEXT STEPS: The full Appy CDS tool, providing personalized risk assessment and tailored recommendations, is undergoing evaluation as part of a pragmatic cluster randomized trial aiming to reduce reliance on advanced diagnostic imaging. The novel approaches to CDS we present could serve as the basis for future ED interventions.
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.