• DocumentCode
    3723176
  • Title

    Reducing Laboratory Examinations by a Computer-Aided Clinical Decision Support System

  • Author

    Massimo Gallerani;Dario Pelizzola;Marcello Pivanti;Giovanni Guerra;Michela Boni;Evelina Lamma;Elena Bellodi

  • Author_Institution
    Dept. of Internal Med., Azienda Ospedaliero-Univ. of Ferrara, Ferrara, Italy
  • fYear
    2015
  • Firstpage
    752
  • Lastpage
    759
  • Abstract
    Repetitive laboratory testing has become a well-recognized problem in the practice of medicine, especially in the hospital inpatient setting, since it increases costs and causes patient discomfort. Among the interventions proposed to reduce unnecessary testing, Clinical Decision Support Systems (CDSS) have been shown to be effective. We present the project of a CDSS recommending professionals in real time regarding the appropriateness for repeating laboratory exams, embedded in a Computerized Physician Order Entry at the Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale of Ferrara, Italy. Appropriateness is encoded in test-specific formal rules which are applied against the laboratory results done in the past for a patient, and which eventually trigger an alert meaning that a test repetition is redundant. Both the previous result´s validation date and quantitative value are considered during rule application. The rules-set implemented concerns: clinical chemistry, hematology, coagulation, infectious diseases serology, microbiology, inflammation, cardiac and tumor markers, hormones, autoimmunity, allergology, molecular biology and drug monitoring testing.
  • Keywords
    "Testing","Decision support systems","Hospitals","Chemistry","Electronic mail","Medical diagnostic imaging"
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on
  • ISSN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2015.112
  • Filename
    7372208