Application of electronic algorithms to improve diagnostic evaluation for bladder cancer

Applied Clinical Informatics

Volumn 8, Issue 1, 2017, Pages 279-290

  Murphy, Daniel R ^a,b   Meyer, Ashley N D ^a,b   Vaghani, Viralkumar ^a,b   Russo, Elise ^a,b   Sittig, Dean F ^c   Richards, Kyle A ^d   Wei, Li ^a,b   Wu, Louis ^a   Singh, Hardeep ^a,b  

^a MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b BAYLOR COLLEGE OF MEDICINE   (United States)

^c UNIVERSITY OF TEXAS   (United States)

^d UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Data mining; Delayed diagnosis; Electronic health records; Hematuria; Medical informatics; Monitoring and surveillance; Triggers; Urologic neoplasms

Indexed keywords

AGED; ALGORITHM; BLADDER TUMOR; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; ELECTRONIC HEALTH RECORD; FEMALE; HEMATURIA; HUMAN; MALE; PROCEDURES; URINALYSIS; URINE;

AGED; ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTRONIC HEALTH RECORDS; FEMALE; HEMATURIA; HUMANS; MALE; URINALYSIS; URINARY BLADDER NEOPLASMS;

EID: 85029614222     PISSN: None     EISSN: 18690327     Source Type: Journal    
DOI: 10.4338/ACI-2016-10-RA-0176     Document Type: Article

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