ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2026
A Team Approach to Patient-Centered Communication in the Emergency Department.
Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- A Team Approach to Patient-Centered Communication in the Emergency Department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient-centered communication (PCC) underpins high-quality medical care, yet its traditional dyadic, longitudinal models are ill-suited to the emergency department (ED). In the ED, visits are brief, unpredictable, and often involve clinicians and patients with no prior relationship. This mismatch creates a paradox: the fast-paced, high-uncertainty environment heightens the need for PCC while simultaneously impeding its enactment. Drawing on the science of teamwork, we propose conceptualizing PCC as a team process. Our approach reconceptualizes communication as a coordinated, interdisciplinary process. In this model, an ED PCC team-comprising physicians, nurses, ancillary staff, and the patient (and caregivers when appropriate)-functions as a "swift-starting action team," required to achieve high-stakes goals shortly after formation. By integrating teamwork constructs, including the input-process-outcome-input model and the consideration of team cognition, our proposed conceptualization expands the scope of PCC research and creates a pathway to design interventions that facilitate PCC in the fast-paced ED setting. This opens new avenues for research, education, and quality improvement across emergency settings.
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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 Socratic graph.