• DocumentCode
    695397
  • Title

    Real-Time Flu Monitoring System and Decision Informatics

  • Author

    Hsu, Sonya ; Benton, Ryan ; Gottumukkala, Raju

  • Author_Institution
    Sch. of Comput. & Inf., Univ. of Louisiana Lafayette, Lafayette, LA, USA
  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    2794
  • Lastpage
    2803
  • Abstract
    This paper presents a flu monitoring system that utilizes prescriptions-based data. It provides evidence-base information that may be "useful" to many users, e.g., Medical professionals, public health administrators, patients, prescription drugs manufacturers, elementary/middle/high schools. The system consists of a real-time flu surveillance engine and a web based client. The real-time flu surveillance engine consumes E-prescription data feeds in XML format. The analytical engine performs Extraction/Load/Transform (ETL) operations to extract prescriptions, dosage, patient information, and pharmacy location information from the prescriptions, and then, presents a relative flu risk index by zip code. The flu tracking information is published in real-time via geodatabase map application that resides on a Web portal. This flu tracking system differs from available flu tracking systems in three ways: 1) it has real-time updating capability, 2) it incorporates a prediction component, and 3) it integrates the monitoring and predicting capabilities in one system with layers of access right to different users.
  • Keywords
    Internet; XML; decision making; diseases; geographic information systems; medical information systems; portals; ETL; Web based client; Web portal; XML format; decision informatics; e-prescription data feeds; elementary-middle-high schools; evidence-base information; extraction-load-transform operations; flu risk index; geodatabase map application; medical professionals; patient information; patients; pharmacy location information; prescription drugs manufacturers; prescriptions-based data; public health administrators; real-time flu monitoring system; real-time flu surveillance engine; zip code; Influenza; Market research; Public healthcare; Real-time systems; Surveillance; Decision Informatics; E-prescription; Flu-tracking system; Geomapping; Network Analysis; Predictive analytics; Real-time flu surveillance engine; Value of Information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.338
  • Filename
    7070153