• DocumentCode
    613601
  • Title

    A prognostic COPD clinical support system

  • Author

    Behara, R. ; Jain, Paril ; Fatteh, F. ; Rajadesingh, P. ; Agarwal, Abhishek

  • Author_Institution
    Dept. of IT & Oper. Manage., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2013
  • fDate
    15-18 April 2013
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    Hospital readmission is an important quality of care indicator. It reflects challenges in quality of in-patient care and the difficulty of coordination of care after the transition back into the community. It is also a significant financial burden, especially as it relates to Medicare and Medicaid costs now and into the future. Chronic Obstructive Pulmonary Disease (COPD) is one of the leading causes of disability and mortality worldwide, and is expected to become the third cause of death and fifth cause of disability adjusted life years in 2020. So it is a quality, cost and demographic imperative to design and develop prognostic clinical support systems to better manage patients with this condition so as to simultaneously improve the quality of care while controlling costs through avoiding preventable hospital readmissions for patients with COPD.
  • Keywords
    costing; decision support systems; diseases; hospitals; medical computing; patient care; COPD; Medicaid costs; Medicare cost; care indicator quality; chronic obstructive pulmonary disease; demographic imperative; hospital readmission; in-patient care quality; prognostic COPD clinical support system; Data mining; Discharges (electric); Diseases; Drugs; Hospitals; Medical diagnostic imaging; Chronic Obstructive Pulmonary Disease (COPD); healthcare; readmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference (SysCon), 2013 IEEE International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4673-3107-4
  • Type

    conf

  • DOI
    10.1109/SysCon.2013.6549858
  • Filename
    6549858