Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease

Journal of the American Medical Informatics Association

Volumn 22, Issue 4, 2015, Pages 881-887

  Czock, David ^a   Konias, Michael ^a   Seidling, Hanna M ^a   Kaltschmidt, Jens ^a   Schwenger, Vedat ^a   Zeier, Martin ^a   Haefeli, Walter E ^a  

^a UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

Author keywords

Clinical decision support systems; Contraindications; Medical order entry systems; Renal insufficiency

Indexed keywords

ACETYLSALICYLIC ACID; COTRIMOXAZOLE; HYDROCHLOROTHIAZIDE; LERCANIDIPINE; LITHIUM; MAGALDRATE; PANTOPRAZOLE; PHENPROCOUMON;

ADULT; ARTICLE; CLINICAL DECISION SUPPORT SYSTEM; DRUG CONTRAINDICATION; DRUG INFORMATION; ESTIMATED GLOMERULAR FILTRATION RATE; FEMALE; HUMAN; KIDNEY DISEASE; LOW DRUG DOSE; MALE; MIDDLE AGED; OBSERVATIONAL STUDY; PRESCRIPTION; PROSPECTIVE STUDY; SEVERE RENAL IMPAIRMENT; COMPUTER ASSISTED DRUG THERAPY; CONTRAINDICATIONS; DECISION SUPPORT SYSTEM; DRUG THERAPY; GERMANY; GLOMERULUS FILTRATION RATE; HOSPITAL INFORMATION SYSTEM; MEDICATION ERROR; PREVENTION AND CONTROL; RENAL INSUFFICIENCY; UNIVERSITY HOSPITAL;

DECISION SUPPORT SYSTEMS, CLINICAL; DRUG THERAPY; DRUG THERAPY, COMPUTER-ASSISTED; GERMANY; GLOMERULAR FILTRATION RATE; HOSPITALS, UNIVERSITY; HUMANS; MEDICAL ORDER ENTRY SYSTEMS; MEDICATION ERRORS; PROSPECTIVE STUDIES; RENAL INSUFFICIENCY;

EID: 84952305387     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocv027     Document Type: Article

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