Big data in health care: Using analytics to identify and manage high-risk and high-cost patients

Health Affairs

Volumn 33, Issue 7, 2014, Pages 1123-1131

  Bates, David W ^a   Saria, Suchi ^b   Ohno Machado, Lucila ^c   Shah, Anand ^d   Escobar, Gabriel ^e  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d PCCI   (United States)

^e DIVISION OF RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTIC AGENT;

ADVERSE OUTCOME; ALGORITHM; ANTIBIOTIC THERAPY; APACHE; ARTICLE; BIG DATA; CLINICAL RESEARCH; CRITICALLY ILL PATIENT; DATA ANALYSIS; DEVICES; DRUG SAFETY; EMERGENCY HEALTH SERVICE; HEALTH CARE COST; HEALTH CARE ORGANIZATION; HEALTH CARE POLICY; HEALTH CARE SYSTEM; HIGH RISK PATIENT; HOSPITAL PATIENT; HOSPITAL READMISSION; HUMAN; INFECTION; INTENSIVE CARE UNIT; KIDNEY FAILURE; MONITORING; MORBIDITY; MORTALITY; NEWBORN SEPSIS; OUTCOME ASSESSMENT; PRIVACY; REGISTER; SCORING SYSTEM; UNITED STATES; DATA MINING; DISEASE MANAGEMENT; ECONOMICS; ELECTRONIC HEALTH RECORD; HEALTH CARE DELIVERY; INFORMATION PROCESSING; PROCEDURES; RISK FACTOR;

DATA MINING; DATASETS AS TOPIC; DELIVERY OF HEALTH CARE; DISEASE MANAGEMENT; ELECTRONIC HEALTH RECORDS; HUMANS; RISK FACTORS; TRIAGE; UNITED STATES;

EID: 84905990877     PISSN: 02782715     EISSN: 15445208     Source Type: Journal    
DOI: 10.1377/hlthaff.2014.0041     Document Type: Article

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