Billing code algorithms to identify cases of peripheral artery disease from administrative data

Journal of the American Medical Informatics Association

Volumn 20, Issue E2, 2013, Pages

  Fan, Jin ^a,b   Arruda Olson, Adelaide M ^b   Leibson, Cynthia L ^b   Smith, Carin ^b   Liu, Guanghui ^b   Bailey, Kent R ^b   Kullo, Iftikhar J ^b  

^a CHINESE PLA GENERAL HOSPITAL   (China)

^b MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALGORITHM; ARTERIOGRAPHY; ARTICLE; BILLING CODE ALGORITHM; COHORT ANALYSIS; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTROLLED STUDY; CURRENT PROCEDURAL TERMINOLOGY; DECISION SUPPORT SYSTEM; FEMALE; HOSPITAL BILLING; HOSPITAL MANAGEMENT; HUMAN; ICD-9; ICD-9-CM; MAGNETIC RESONANCE ANGIOGRAPHY; MAJOR CLINICAL STUDY; MALE; PERIPHERAL OCCLUSIVE ARTERY DISEASE; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; SYSTOLIC BLOOD PRESSURE; UNITED STATES;

BILLING CODES; ELECTRONIC MEDICAL RECORD; INFORMATICS; PERIPHERAL ARTERY DISEASE;

ALGORITHMS; CLINICAL CODING; ELECTRONIC HEALTH RECORDS; HOSPITAL CHARGES; HUMANS; INSURANCE CLAIM REPORTING; INTERNATIONAL CLASSIFICATION OF DISEASES; LOGISTIC MODELS; PERIPHERAL ARTERIAL DISEASE; ROC CURVE;

EID: 84890486487     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001827     Document Type: Article

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