Identifying patients with diabetes and the earliest date of diagnosis in real time: An electronic health record case-finding algorithm

BMC Medical Informatics and Decision Making

Volumn 13, Issue 1, 2013, Pages

  Makam, Anil N ^a   Nguyen, Oanh K ^a   Moore, Billy ^b   Ma, Ying ^b   Amarasingham, Ruben ^b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Parkland Center for Clinical Innovation   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIABETES MELLITUS; DISEASE MANAGEMENT; EARLY DIAGNOSIS; ECONOMICS; ELECTRONIC MEDICAL RECORD; EQUIPMENT; FACTUAL DATABASE; FEMALE; HEALTH SERVICE; HUMAN; MALE; MIDDLE AGED; PREDICTIVE VALUE; PRIMARY HEALTH CARE; PUBLIC HOSPITAL; REPRODUCIBILITY; STANDARD; STATISTICS; UNITED STATES; DEVICES; STANDARDS; STATISTICS AND NUMERICAL DATA;

ADULT; AGED; ALGORITHMS; DATABASES, FACTUAL; DIABETES MELLITUS; DIAGNOSIS, COMPUTER-ASSISTED; DISEASE MANAGEMENT; EARLY DIAGNOSIS; ELECTRONIC HEALTH RECORDS; FEMALE; HOSPITALS, PUBLIC; HUMANS; MALE; MIDDLE AGED; PREDICTIVE VALUE OF TESTS; PRIMARY HEALTH CARE; REPRODUCIBILITY OF RESULTS; TEXAS; URBAN HEALTH SERVICES;

EID: 84880872976     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-13-81     Document Type: Article

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