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Clinical Decision Support System for Managing COPD-Related Readmission Risk

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Listed:
  • C. Derrick Huang

    (Florida Atlantic University)

  • Jahyun Goo

    (Florida Atlantic University)

  • Ravi S. Behara

    (Florida Atlantic University)

  • Ankur Agarwal

    (Florida Atlantic University)

Abstract

Hospital readmission is an important quality-of-care indicator that reflects challenges in quality of in-patient care and the difficulty of coordination of care after the transition back into the community. It can also be a significant financial burden, especially as it relates to Medicare and Medicaid costs now and into the future. In this study, we develop a text-mining-based methodology for providing decision support to identify patients with Chronic Obstructive Pulmonary Disease (COPD), one of the leading causes of disability and mortality worldwide, that are likely to be readmitted. The proposed methodology is tested with real-life data to demonstrate how it can be used to help healthcare providers target high-risk discharged patients to reduce readmission.

Suggested Citation

  • C. Derrick Huang & Jahyun Goo & Ravi S. Behara & Ankur Agarwal, 2020. "Clinical Decision Support System for Managing COPD-Related Readmission Risk," Information Systems Frontiers, Springer, vol. 22(3), pages 735-747, June.
    • Handle: RePEc:spr:infosf:v:22:y:2020:i:3:d:10.1007_s10796-018-9881-4
    DOI: 10.1007/s10796-018-9881-4
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    1. Nirup M. Menon & Byungtae Lee & Leslie Eldenburg, 2000. "Productivity of Information Systems in the Healthcare Industry," Information Systems Research, INFORMS, vol. 11(1), pages 83-92, March.
    2. Sarv Devaraj & Rajiv Kohli, 2003. "Performance Impacts of Information Technology: Is Actual Usage the Missing Link?," Management Science, INFORMS, vol. 49(3), pages 273-289, March.
    3. Peter S. Fader & James M. Lattin, 1993. "Accounting for Heterogeneity and Nonstationarity in a Cross-Sectional Model of Consumer Purchase Behavior," Marketing Science, INFORMS, vol. 12(3), pages 304-317.
    4. Mark Cecchini & Haldun Aytug & Gary J. Koehler & Praveen Pathak, 2010. "Detecting Management Fraud in Public Companies," Management Science, INFORMS, vol. 56(7), pages 1146-1160, July.
    5. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    6. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    7. Tawei Wang & Karthik N. Kannan & Jackie Rees Ulmer, 2013. "The Association Between the Disclosure and the Realization of Information Security Risk Factors," Information Systems Research, INFORMS, vol. 24(2), pages 201-218, June.
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    Cited by:

    1. Sergey Motorny & Surendra Sarnikar & Cherie Noteboom, 2022. "Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need Preferences," Information Systems Frontiers, Springer, vol. 24(4), pages 1249-1264, August.

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