• DocumentCode
    1787314
  • Title

    Package Insert Leaflet Analysis and Improvement to Reduce Patient Risk Factors: A Pharmacovigilance Approach in Computer Science

  • Author

    Merges, Fabian ; Nasiri, Saeid ; Fathi, Madjid

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Univ. of Siegen, Siegen, Germany
  • fYear
    2014
  • fDate
    27-29 May 2014
  • Firstpage
    483
  • Lastpage
    484
  • Abstract
    Current package inserts for medicines are confusing for many patients and can lead to non-compliance. To combat this problem, a readability assistance system has been designed to analyze and improve leaflets to reduce the risks for patients, such as incorrect use of medication. This assistance system is divided into 5 levels: pharmaceutical readability index, graphical package insert leaflet overview, paragraph analysis, sentence analysis and recommendation of sentence rearrangement. The assistance system is designed only as a guide for the person in charge of the Patient Information Leaflet (PIL) to guard against possible misunderstanding of the PIL. The final decision is always with the person in charge for the correctness of the wording. In the future it is planned to adapt the assistance system to other types of leaflets.
  • Keywords
    cataloguing; drugs; medical information systems; medicine; risk management; PIL; assistance system; computer science; drug safety; graphical package insert leaflet overview; incorrect medication usage; package insert leaflet analysis; package insert leaflet improvement; paragraph analysis; patient information leaflet; patient risk factor reduction; pharmaceutical readability index; pharmacovigilance approach; readability criteria catalogue; sentence analysis; sentence rearrangement recommendation; assistance system; drug safety; package insert; patient compliance; pharmacovigilance; readability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
  • Conference_Location
    New York, NY
  • Type

    conf

  • DOI
    10.1109/CBMS.2014.101
  • Filename
    6881937