Temporal distribution of instability events in continuously monitored step-down unit patients: Implications for Rapid Response Systems

Resuscitation

Volumn 89, Issue C, 2015, Pages 99-105

  Hravnak, Marilyn ^a   Chen, Lujie ^b   Dubrawski, Artur ^b   Bose, Eliezer ^a   Pinsky, Michael R ^c  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Instability; Machine learning; Medical emergency teams; Noninvasive monitoring; Physiologic monitoring; Rapid response systems

Indexed keywords

ADULT; ARTICLE; CLOCK HOUR; FEMALE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOURS ELAPSED SINCE ADMISSION; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; PATIENT MONITORING; PRIORITY JOURNAL; RAPID RESPONSE TEAM; STEP DOWN UNIT; TIME TO TREATMENT; VITAL SIGN; WARD; AGED; COHORT ANALYSIS; EMERGENCY; HOSPITALIZATION; MIDDLE AGED; PERIODICITY; PHYSIOLOGIC MONITORING; STATISTICAL MODEL; TIME FACTOR;

ADULT; AGED; COHORT STUDIES; EMERGENCIES; FEMALE; HOSPITAL RAPID RESPONSE TEAM; HOSPITALIZATION; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; PERIODICITY; TIME FACTORS; VITAL SIGNS;

EID: 84927594219     PISSN: 03009572     EISSN: 18731570     Source Type: Journal    
DOI: 10.1016/j.resuscitation.2015.01.015     Document Type: Article

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