자료유형 | E-Book |
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개인저자 | Linnen, Daniel T. |
단체저자명 | University of California, San Francisco. Nursing. |
서명/저자사항 | Alert Driven Rescue: Do In-hospital Sepsis Interventions Following an Advanced Early Warning System Alert Differ Substantially Between Decedents and Survivors? |
발행사항 | [S.l.] : University of California, San Francisco., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 155 p. |
소장본 주기 | School code: 0034. |
ISBN | 9780438250338 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Caroline Stephens. |
요약 | Significance: Patients with worsening sepsis on general hospital wards are at high risk for clinical deterioration, unplanned admission to the intensive care unit, and death. Many hospitals have begun to employ early warning systems (EWSs) to al |
요약 | Methods: 1) We performed a systematic review of the evidence of advanced early warning systems detecting patient deterioration risk using multivariate regression or machine learning vs. point-score systems. We then systematically quantified resu |
요약 | Results: 1) Advanced EWSs using multivariate regression or machine learning had better prognostic accuracy than point-score EWSs and decreased the RRT and hospitalist evaluation workload substantially. 2) The advanced EWS alert frequently occurr |
요약 | Discussion: This dissertation offers a novel approach to characterizing and measuring the impact of fluid bolus therapy on sepsis survival and has the potential to improve outcomes among sepsis patients outside the ICU. Early additional antibiot |
일반주제명 | Health sciences. Information science. Nursing. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999111 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00028419 | 614 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |