Combining administrative and clinical data to stratify surgical risk

Annals of Surgery

Volumn 246, Issue 5, 2007, Pages 875-885

  Fry, Donald E ^a,e   Pine, Michael ^a   Jordan, Harmon S ^b,c   Elixhauser, Anne ^d   Hoaglin, David C ^b   Jones, Barbara ^a   Warner, David ^b   Meimban, Roger ^a  

^a UNIVERSITY OF CHICAGO   (United States)

^b ABT ASSOCIATES   (United States)

^c TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d AGENCY FOR HEALTHCARE RESEARCH AND QUALITY   (United States)

^e Michael Pine and Associates   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABDOMINAL AORTA ANEURYSM; ACCURACY; ADMINISTRATIVE CLAIM DATA; ADULT; AGED; ANALYTIC METHOD; ANALYTICAL ERROR; ANEURYSM SURGERY; ARTICLE; CLINICAL ASSESSMENT; CLINICAL EVALUATION; CORONARY ARTERY BYPASS GRAFT; CORONARY ARTERY BYPASS SURGERY; CRANIOTOMY; DATA BASE; DEEP VEIN THROMBOSIS; FEMALE; HOSPITAL; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; LABORATORY; LOGISTIC REGRESSION ANALYSIS; LUNG EMBOLISM; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; MEDICAL RECORD; METABOLIC DISORDER; OUTCOME ASSESSMENT; POSTOPERATIVE COMPLICATION; PREDICTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; RESPIRATORY FAILURE; RISK ASSESSMENT; SCORING SYSTEM; SEPSIS; STATISTICAL ANALYSIS; SURGICAL MORTALITY; SURGICAL PATIENT; SURGICAL RISK; TREATMENT OUTCOME; VITAL SIGN;

AORTIC ANEURYSM, ABDOMINAL; CORONARY ARTERY BYPASS; CRANIOTOMY; HEALTH STATUS INDICATORS; HUMANS; INSURANCE CLAIM REVIEW; INTERNATIONAL CLASSIFICATION OF DISEASES; LOGISTIC MODELS; PATIENT ADMISSION; POSTOPERATIVE COMPLICATIONS; RISK ASSESSMENT; UNITED STATES;

EID: 35649003824     PISSN: 00034932     EISSN: None     Source Type: Journal    
DOI: 10.1097/SLA.0b013e3180cc2e7a     Document Type: Article

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