Automated analysis of electronic medical record data reflects the pathophysiology of operative complications

Surgery (United States)

Volumn 154, Issue 4, 2013, Pages 918-926

  Tepas III, Joseph J ^a   Rimar, Joan M ^b   Hsiao, Allen L ^c   Nussbaum, Michael S ^a  

^a UNIVERSITY OF FLORIDA COLLEGE OF MEDICINE   (United States)

^b YALE NEW HAVEN HEALTH SYSTEM   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; BIOMETRY; CLINICAL ASSESSMENT; CLINICAL OBSERVATION; COLORECTAL SURGERY; CONTROLLED STUDY; DATA ANALYSIS; ELECTROLYTE DISTURBANCE; ELECTRONIC MEDICAL RECORD; HIGH RISK POPULATION; HOSPITAL PATIENT; HUMAN; INCIDENCE; INFORMATION PROCESSING; INTESTINE OBSTRUCTION; LENGTH OF STAY; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; NURSING ASSESSMENT; PATHOPHYSIOLOGY; PEROPERATIVE COMPLICATION; POSTOPERATIVE COMPLICATION; PRIORITY JOURNAL; RESPIRATORY FAILURE; RISK ASSESSMENT; SEPTICEMIA; SURGICAL MORTALITY;

AUTOMATION; COLON; ELECTRONIC HEALTH RECORDS; HEALTH CARE COSTS; HUMANS; LENGTH OF STAY; POSTOPERATIVE COMPLICATIONS; RETROSPECTIVE STUDIES; SEPSIS;

EID: 84884844368     PISSN: 00396060     EISSN: 15327361     Source Type: Journal    
DOI: 10.1016/j.surg.2013.07.014     Document Type: Article

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