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Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration
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Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration
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Journal Article
Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration
2020
Overview
The authors used a validated model with electronic-medical-record data to identify hospitalized patients at high risk for clinical deterioration. The intervention, which involved remote monitoring by nurses who reviewed records of high-risk patients and communicated with in-hospital rapid-response teams, was associated with decreased 30-day mortality.
Publisher
Massachusetts Medical Society
