• DocumentCode
    3764057
  • Title

    Enhancing mobile spontaneous adverse drug event reporting through electronic health records

  • Author

    Kubilay Kahveci;Mustafa Yuksel;Gokce Banu Laleci Erturkmen

  • Author_Institution
    SRDC Ltd., METU Technopolis, Ankara, 06800, Turkey
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this study, we address two major problems of spontaneous reporting systems for adverse drug events (ADEs): underreporting and low report content quality. In the scope of WEB-RADR project, we make use of relevant patient information available in electronic health record (EHR) systems to facilitate ADE reporting process and promote spontaneous reporting on mobile devices. By semi-automatically extracting patient context (e.g. medical history, tests, allergies, drug therapies, etc.) from EHRs, we are able to provide a less time consuming reporting experience and much richer report content. Our tests show that 60% of the patient context residing in E2B reports can easily be extracted using epSOS Patient Summary and Consolidated CDA templates as the EHR source. Proposed implementation can also be extended to integrate further EHR profiles without much effort.
  • Keywords
    "Data models","Drugs","Data mining","Semantics","Context","Safety","Standards"
  • Publisher
    ieee
  • Conference_Titel
    eChallenges e-2015 Conference, 2015
  • Electronic_ISBN
    2166-1677
  • Type

    conf

  • DOI
    10.1109/eCHALLENGES.2015.7441054
  • Filename
    7441054