ReviewAMIA ... Annual Symposium proceedings. AMIA Symposium2011
An analysis and recommendations for multidisciplinary computerized handoff applications in hospitals.
Review in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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Authors and funding
2 authors.
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Abstract
In healthcare, patient handoffs are a common practice that is implemented by most clinicians who carry the responsibility of patient care. Ineffective handoffs have been associated with the occurrence of adverse clinical events. With the inception of the Joint Commissions' National Patient Safety Goal (NSPG) 2E on handoff communication, computerized clinical handoff applications are emerging in hospitals. Computerized clinical handoff applications are intended to assist the clinicians in conducting effective handoffs by providing easy access to accurate clinical information and reducing the burden of handoff report upkeep. The purpose of this paper is to identify various types of computerized clinical handoff tools that are used in hospitals and perform a comparison of application characteristics, review clinical and business advantages and disadvantages in implementing computerized clinical handoff applications, and give recommendations for improvement.
Indexed as
Identifiers
22195114PMC3243151What 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.