• DocumentCode
    3230141
  • Title

    Applying data mining techniques to standardized electronic health records for decision support

  • Author

    Batra, Shalini ; Parashar, Hem Jyotsana ; Sachdeva, Shelly ; Mehndiratta, Pulkit

  • Author_Institution
    Jaypee Inst. of Inf. Technol. Univ., Noida, India
  • fYear
    2013
  • fDate
    8-10 Aug. 2013
  • Firstpage
    510
  • Lastpage
    515
  • Abstract
    Data Mining is very popular in today´s era because it provides access to the information that is hidden from a normal human being eye. The hidden information that is made available through data mining can benefit the person involved by providing an efficient decision support. Today data mining can be applied to various areas such as marketing, banking, aerospace and healthcare. It is identified that providing decision support in healthcare domain can help in saving human life. Although providing decision support through data mining in healthcare is very beneficial but it lacks standardization. A comparison of benefits gained from applying data mining techniques to standardized and non-standardized EHRs is provided. This paper aims to indentify the need of applying data mining techniques to standardized electronic healthcare records. It interrogates various issues that need to be resolved for providing an efficient standardized decision support system.
  • Keywords
    data mining; decision support systems; health care; medical information systems; EHR; data mining techniques; healthcare domain; standardized decision support system; standardized electronic health records; Data mining; Databases; Electronic medical records; Medical services; Organizations; Standards organizations; Data Mining; Decision Support; Healthcare; Standardized Electronic Health Records;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing (IC3), 2013 Sixth International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-0190-6
  • Type

    conf

  • DOI
    10.1109/IC3.2013.6612249
  • Filename
    6612249