ArticleJournal of the American Medical Informatics Association : JAMIA2019
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 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.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Operating Room Performance Optimization Metrics: a Systematic Review.Journal of medical systems · 2023Pooled it
- Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Pathways of Patients With Neurological Emergencies at Pediatric Emergency Department: A Process-Based Data Mining Study.European journal of neurology · 2026Article
- Integrated Multidisciplinary and Digital Innovation in Polytrauma: Optimizing Whole-Process Emergency Models for Secondary Hospitals.Open access emergency medicine : OAEM · 2026Review
- Electronic health record activity changes around new decision support implementation: monitoring using audit logs and topic modeling.JAMIA open · 2025Article
- Association of EHR-Integrated Secure Messaging Use with Clinician Workload and Attention Switching.Journal of general internal medicine · 2025Article
- Managing medically refractory elevated intracranial pressure in a pediatric patient on ECMO: illustrative case.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024Article
- Using 42 CFR part 2 revisions to integrate substance use disorder treatment information into electronic health records at a safety net health system.Addiction science & clinical practice · 2024Article
- Workshop on pediatric trauma care: low-cost simulation.Revista brasileira de enfermagem · 2023Article
- Observational
- The Use of Electronic Health Record Metadata to Identify Nurse-Patient Assignments in the Intensive Care Unit: Algorithm Development and Validation.JMIR medical informatics · 2022Article
- Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis.Journal of medical Internet research · 2022Article
- Community Health Centers' Performance in Cancer Screening and Prevention.American journal of preventive medicine · 2022Observational
- Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.BMC health services research · 2021Article
- Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study.JMIR medical informatics · 2021Article
- Outpatient portal use among pregnant individuals: Cross-sectional, temporal, and cluster analysis of use.Digital healthArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectivesThe study sought to identify collaborative electronic health record (EHR) usage patterns for pediatric trauma patients and determine how the usage patterns are related to patient outcomes. MATERIALS AND
methodsA process mining-based network analysis was applied to EHR metadata and trauma registry data for a cohort of pediatric trauma patients with minor injuries at a Level I pediatric trauma center. The EHR metadata were processed into an event log that was segmented based on gaps in the temporal continuity of events. A usage pattern was constructed for each encounter by creating edges among functional roles that were captured within the same event log segment. These patterns were classified into groups using graph kernel and unsupervised spectral clustering methods. Demographics, clinical and network characteristics, and emergency department (ED) length of stay (LOS) of the groups were compared.
resultsThree distinct usage patterns that differed by network density were discovered: fully connected (clique), partially connected, and disconnected (isolated). Compared with the fully connected pattern, encounters with the partially connected pattern had an adjusted median ED LOS that was significantly longer (242.6 [95% confidence interval, 236.9-246.0] minutes vs 295.2 [95% confidence, 289.2-297.8] minutes), more frequently seen among day shift and weekday arrivals, and involved otolaryngology, ophthalmology services, and child life specialists. DISCUSSION: The clique-like usage pattern was associated with decreased ED LOS for the study cohort, suggesting greater degree of collaboration resulted in shorter stay.
conclusionsFurther investigation to understand and address causal factors can lead to improvement in multidisciplinary collaboration.
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