• DocumentCode
    3291171
  • Title

    Evolving the Business Model to Improve Care Performance for Remote Patient Management: A Case Study

  • Author

    Kao, Hao-Yun ; Kuo, Yen-Hung ; Chien, Yi-Kuang ; Hung, Yu-Han ; Chen, Ling-Sui ; Liu, Ching-Kuan

  • Author_Institution
    Kaohsiung Med. Univ., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    4-7 Jan. 2012
  • Firstpage
    2860
  • Lastpage
    2868
  • Abstract
    The problem of the aging population and its likely impact on the provision of healthcare systems has been increasing. This study presents a conceptual model to explore and investigate the remote patient management (RPM) technology and the business model in enhancing chronic disease care performance. Some scales to measure RPM technology and the business model were developed and validated, then they were used to collect survey data from respondents who had experience. In addition, this study has verified the entrepreneurial alertness as the moderator and influenced the relationship between RPM technology and the business model. The empirical results support the proposed model and can potentially be used in advance of RPM technology adoption for contemporary hospitals using the proper business model, and sensing the change for chronic diseases care. Among key managerial implications, hospital administrators must focus on alerting environmental change then creating reorganized capacities for RPM implementations to ensure better care performance for chronic diseases.
  • Keywords
    diseases; health care; medical computing; aging population; business model; chronic disease care performance; healthcare system; remote patient management technology; Aging; Diseases; Hospitals; Monitoring; Organizations; Alertness; Business Model; Healthcare; Performance; Remote Patient Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science (HICSS), 2012 45th Hawaii International Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4577-1925-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2012.260
  • Filename
    6149173