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Improving Emergency Department Throughput by Adoption of an Admissions Predictor Tool at Triage

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자료유형E-Book
개인저자Linthicum, Benjamin Ovitt.
단체저자명The University of North Carolina at Chapel Hill. Nursing.
서명/저자사항Improving Emergency Department Throughput by Adoption of an Admissions Predictor Tool at Triage.
발행사항[S.l.] : The University of North Carolina at Chapel Hill., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항79 p.
소장본 주기School code: 0153.
ISBN9780438062818
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Debbie Travers.
요약Emergency departments are increasingly busier and busier. An area of concern for many hospitals is how to deal with the resulting overcrowding and related throughput problems. This is because delayed throughput is seen as a measure of quality d
요약In this quality improvement project I sought to use an admissions predictor tool at triage to improve emergency department throughput by changing the process by which patients are identified and then processed for admissions. A new process was p
요약A second goal for the project was to add to the collective evidence regarding the use of an admission predictor tool. This includes the practicality of its use as well as potential ways in which the tool could be improved upon or otherwise used
요약I found the admissions process to be much more complex than initially anticipated and due to this complexity only one patient out of 281 patients screened underwent the new early bed request process. I found that in order to successfully use the
요약I was able to find a new use for the predictor tool. By calculating an admissions probability on all patients in the emergency department, not already identified for admission, the tool was used to predict bed needs for the whole department at
일반주제명Nursing.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997357

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1 WE00026776 DP 610.73 가야대학교/전자책서버(컴퓨터서버)/ 대출불가(별치) 인쇄 이미지  

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