• DocumentCode
    1787357
  • Title

    Integrating Data from EHRs to Enhance Clinical Decision Making: The Inflammatory Bowel Disease Case

  • Author

    Abouzahra, Mohamed ; Sartipi, Kamran ; Armstrong, David ; Tan, Jason

  • Author_Institution
    DeGroote Sch. of Bus., McMaster Univ., Hamilton, ON, Canada
  • fYear
    2014
  • fDate
    27-29 May 2014
  • Firstpage
    531
  • Lastpage
    532
  • Abstract
    Recent years have witnessed a constant growth of using electronic health records resulting in the availability of enormous amounts of patient information. Clinicians are unable to use this information effectively because of the lack of interoperability and standardization between systems as well as the overwhelming amount of irrelevant information. In this study, we propose a framework to support clinicians decision making by integrating data from different EHR systems in a common data warehouse and applying data mining techniques to retrieve useful knowledge from patients data. This knowledge is then integrated with clinical guidelines in clinical decision support systems to facilitate decision making. Our framework will enhance the use of patients data in decision making and to encourage the use of clinical guidelines and evidence based medicine.
  • Keywords
    data integration; data mining; data warehouses; decision support systems; diseases; electronic health records; EHR data integration; clinical decision making; clinical decision support systems; clinical guidelines; data mining techniques; data warehouse; electronic health records; evidence based medicine; inflammatory bowel disease; patient information; Data mining; Decision making; Diseases; Educational institutions; Gastroenterology; Guidelines; CDSS; Data mining; EHR; Healthcare analytics; IBD; Integration; Knowledgebase;
  • 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.2014.124
  • Filename
    6881961