Real-time identification of serious infection in geriatric patients using clinical information system surveillance

Journal of the American Geriatrics Society

Volumn 57, Issue 1, 2009, Pages 40-45

  Meurer, William J ^a,b   Smith, Barbara L ^b   Losman, Eve D ^b   Sherman, Diana ^b   Yaksich, Joseph D ^b   Jared, Jeremy D ^d   Malani, Preeti N ^b,c   Younger, John G ^b,e  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b Division of Geriatric Medicine   (United States)

^c VA ANN ARBOR HEALTHCARE SYSTEM   (United States)

^d Department of Anesthesiology ^*  (United States)

^e UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Aged; Informatics; Sentinel surveillance; Sepsis

Indexed keywords

AGED; ALGORITHM; ARTICLE; AUTOANALYSIS; CLINICAL ASSESSMENT; CLINICAL ASSESSMENT TOOL; CLINICAL FEATURE; COMPUTER PROGRAM; EMERGENCY WARD; FEMALE; FOLLOW UP; GERIATRIC PATIENT; HEALTH SURVEY; HOSPITAL ADMISSION; HUMAN; INFECTION; INFECTION RISK; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION SYSTEM; OBSERVATIONAL STUDY; PATIENT IDENTIFICATION; PROSPECTIVE STUDY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; TACHYCARDIA; TACHYPNEA; UNIVERSITY HOSPITAL;

AGED; AGED, 80 AND OVER; ALGORITHMS; EMERGENCY SERVICE, HOSPITAL; FEMALE; HEALTH SERVICES FOR THE AGED; HOSPITAL INFORMATION SYSTEMS; HUMANS; INFECTION; MALE; POPULATION SURVEILLANCE; PROSPECTIVE STUDIES; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME;

EID: 58149242751     PISSN: 00028614     EISSN: 15325415     Source Type: Journal    
DOI: 10.1111/j.1532-5415.2008.02094.x     Document Type: Article

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