Applying Predictive Analytics at the Bedside to Reduce Mortality and Facilitate Transitions of Care
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Christine A. Sullivan, MS, BSN, RN-BC; Janice E. Marlett, MSN, ACCNS-AG, RN-BC -- Patient Care Services, Sinai Hospital, Baltimore, Maryland, USA
- Sigma Affiliation
- Pi at-Large
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Abstract
Recognizing early changes in a patient's condition is essential to saving lives. This large urban facility successfully reduced mortality, increased situational awareness, and supported appropriate transitions of care. Utilizing a validated predictive analytics tool, nurses and providers identify patient decline earlier and intervene to reduce cardiac arrest outside the ICU.
Description
45th Biennial Convention 2019 Theme: Connect. Collaborate. Catalyze.
Repository Posting Date
2019-10-15T19:53:10Z
Type Information
Type | Presentation |
Acquisition | Proxy-submission |
Review Type | Abstract Review Only: Reviewed by Event Host |
Format | Text-based Document |
Category Information
Evidence Level | N/A |
Research Approach | N/A |
Keywords | Mortality; Predictive Analytics; Transitions of Care |
Conference Information
Name | 45th Biennial Convention |
Host | Sigma Theta Tau International |
Location | Washington, DC, USA |
Date | 2019 |
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