Automated system to identify Clostridium difficile infection among hospitalised patients

Journal of Hospital Infection

Volumn 72, Issue 4, 2009, Pages 337-341

  Yadav, Y ^a,b   Garey, K W ^a,b,c   Dao Tran, T K ^b   Kaila, V ^b   Gbito, K Y E ^a   DuPont, H L ^a,b,d  

^a UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^b ST LUKE S EPISCOPAL HOSPITAL   (United States)

^c UNIVERSITY OF HOUSTON   (United States)

^d BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

Clostridium difficile infection; Diarrhoea; Nosocomial infections; Risk factors

Indexed keywords

ANTIBIOTIC AGENT;

ADULT; ANTIBIOTIC THERAPY; ARTICLE; AUTOMATION; BACTERIUM IDENTIFICATION; CLOSTRIDIUM DIFFICILE; CLOSTRIDIUM DIFFICILE INFECTION; CONTROLLED STUDY; DIARRHEA; DISEASE ASSOCIATION; DISEASE DURATION; FECES ANALYSIS; FEMALE; HIGH RISK PATIENT; HOSPITAL INFECTION; HOSPITAL PATIENT; HUMAN; INCIDENCE; INFECTION RISK; MAJOR CLINICAL STUDY; MALE; POPULATION RISK; PREDICTION; RISK ASSESSMENT; RISK FACTOR;

AGED; AUTOMATIC DATA PROCESSING; AUTOMATION; CLOSTRIDIUM DIFFICILE; ENTEROCOLITIS, PSEUDOMEMBRANOUS; FECES; FEMALE; HUMANS; INPATIENTS; MALE; MIDDLE AGED;

EID: 67650951105     PISSN: 01956701     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhin.2009.04.017     Document Type: Article

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