ArticleInternal and emergency medicine2018
Efficiency of electronic signout for ED-to-inpatient admission at a non-teaching hospital.
Article in Internal and emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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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
4 citing papers in PubMed.
- Generative Artificial Intelligence Summaries to Facilitate Emergency Department Handoff.Applied clinical informatics · 2025Article
- Developing and Evaluating Large Language Model-Generated Emergency Medicine Handoff Notes.JAMA network open · 2024Article
- Interruptions During Sign-out Between Emergency Medicine Residents Before and After Implementation of Group Sign-out Process.The western journal of emergency medicine · 2024Article
- Efficiency of electronic signout for ED-to-inpatient admission at a non-teaching hospital commentary.Internal and emergency medicine · 2018Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Admission handoff is a high-risk component of patient care. Previous studies have shown that a standardized physician electronic signout ("eSignout") may improve ED-to-inpatient handoff safety and efficiency in teaching hospitals. This model has not yet been studied in non-teaching hospitals. The objectives of the study were to determine the efficiency of an eSignout platform at a community affiliate hospital by comparing ED length of stay (LOS) for a 5-month period before and after implementation and to compare the quality assurance (QA) events among admitted patients for the same time period. A retrospective, interventional study was conducted with the main outcome measures including ED LOS with calculation of 95% CI, mean comparison (t test), and number of QA events before and after implementation of the eSignout model. Prior to eSignout implementation, 1045 patients were admitted [mean ED LOS 330.0 min (95% CI 318.6-341.4)]. Following implementation, 1106 patients were admitted [mean ED LOS 338.9 min (95% CI 327.4-350.4, p = 0.2853)]. Nine pre-implementation QA events and six post-implementation events were identified. Use of a physician eSignout in a non-teaching hospital had no statistically significant effect on ED LOS for the admitted patients. The effect of an electronic interdepartmental handoff tool for patient safety and clinical operations in the non-teaching setting is unclear.
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Registered trials
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