• DocumentCode
    1640110
  • Title

    Automatic detection of drug interaction mismatches in package inserts

  • Author

    Rastegar-Mojarad, Majid ; Harrington, Brian ; Belknap, Steven M.

  • Author_Institution
    Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA
  • fYear
    2013
  • Firstpage
    373
  • Lastpage
    377
  • Abstract
    The US Code of Federal Regulation (21 CFR 207) mandates that pharmaceutical manufacturers submit their FDA-approved drug information as medication Package Insert (PI). PI should provide comprehensive, current, and accurate information about the medical use of a drug. However, PI narratives are cumbersome for healthcare providers to navigate and are therefore rarely used by them. We are developing Paracelsus, a tool for automatically extracting structured drug information from PI. Paracelsus has the potential to allow healthcare providers to benefit from the rich drug information in PI for patient care. In this study, we report the development and evaluation of Paracelsus on drug-drug interactions. We show that Paracelsus performs with a high accuracy, discovering interactions not covered by other medical compendia, and in addition automatically detecting inconsistencies in the package inserts.
  • Keywords
    drugs; health care; medical information systems; packaging; patient care; 21 CFR 207; FDA-approved drug information; Paracelsus; US Code of Federal Regulation; automatic drug interaction mismatch detection; automatic structured drug information extraction; drug-drug interactions; healthcare providers; medical compendia; medication package insert; patient care; pharmaceutical manufacturers; Data mining; Databases; Drugs; Software; XML; Drug-Drug interaction; Package Insert; information retrival;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
  • Conference_Location
    Mysore
  • Print_ISBN
    978-1-4799-2432-5
  • Type

    conf

  • DOI
    10.1109/ICACCI.2013.6637200
  • Filename
    6637200