Preprint
Protective Effects of Increased EHR-Mediated Information Sharing Within- and Between-Healthcare Teams on Patient Outcomes
medRxiv : the preprint server for health sciences
Cold Spring Harbor Laboratory
09/23/2026
DOI: 10.64898/2026.09.22.26362777
PMID: 42818446
Abstract
Electronic Health Records (EHRs) provide a common repository for patient information, and while many challenges persist, EHRs allow asynchronous coordination among healthcare professionals (HCPs). Such coordination is inherently challenging, as large multidisciplinary teams, or teams-of-teams, of HCPs jointly manage complex patient care. These teams-of-teams naturally fit under the Multiteam System (MTS) framework, where evidence suggests that both stronger within- and between-team communication improves overall team performance. Yet little is known how about these patterns of information sharing mediated through the EHR correlate with patient outcomes. We extracted over 53.9 million EHR access logs for 482 patients to construct novel within- and between-team information sharing measures which were then used to predict future emergency department (ED) visits and hospitalizations admitted through the ED. These network measures showed both statistical and practical significance, suggesting that this modifiable dimension of teamwork-information sharing through the EHR-could reduce acute care utilization.
Details
- Title: Subtitle
- Protective Effects of Increased EHR-Mediated Information Sharing Within- and Between-Healthcare Teams on Patient Outcomes
- Creators
- Shin-Ping Tu - University of California, DavisDaniel Sewell - University of IowaBrittany Garcia - University of California, DavisQuinn Stoddard O'NeillMichael Hogarth - University of San DiegoMarissa Shuffler - Clemson UniversityAaron Boussina - University of San DiegoHelen Chew - University of California, DavisDavid Cooke - University of California, DavisPatrick Romano - University of California, DavisJoann Elmore - University of California, Los AngelesAlan Dow - Virginia Commonwealth UniversityXi Zhu - University of California, Los Angeles
- Resource Type
- Preprint
- Publication Details
- medRxiv : the preprint server for health sciences
- DOI
- 10.64898/2026.09.22.26362777
- PMID
- 42818446
- Publisher
- Cold Spring Harbor Laboratory; United States
- Language
- English
- Date posted
- 09/23/2026
- Academic Unit
- Biostatistics
- Record Identifier
- 9985240902802771
Metrics
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