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Putting analytics into action in care coordination research: Emerging issues and potential solutions

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Listed:
  • Subodha Kumar
  • Liangfei Qiu
  • Arun Sen
  • Atish P. Sinha

Abstract

Care coordination involves shaping patient care activities and sharing information among all participants concerned with a patient's care to achieve safe and effective care. The objectives of care coordination are to promote sharing of patients’ clinical information, keep patients and families informed, and manage effective referrals and care transitions. Failures in care coordination account for a large amount of waste per year in the United States. Many innovative healthcare organizations have recently recognized the danger of poorly coordinated care and have implemented analytics to improve it. Therefore, more analytics‐based research (especially combining explanatory analytics with predictive analytics) is needed to direct efforts to improve care coordination. This paper focuses on systematically studying the extant literature to understand how analytics play a role in improving care coordination. Our goal is to identify a set of key research questions that would lead to new research areas in the use of analytics for care coordination. Based on these questions, we offer new analytics solution pathways to care coordination problems.

Suggested Citation

  • Subodha Kumar & Liangfei Qiu & Arun Sen & Atish P. Sinha, 2022. "Putting analytics into action in care coordination research: Emerging issues and potential solutions," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2714-2738, June.
    • Handle: RePEc:bla:popmgt:v:31:y:2022:i:6:p:2714-2738
    DOI: 10.1111/poms.13771
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    References listed on IDEAS

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    1. Zhijun Yan & Lini Kuang & Liangfei Qiu, 2022. "Prosocial behaviors and economic performance: Evidence from an online mental healthcare platform," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3859-3876, October.
    2. Subodha Kumar & Christopher S. Tang, 2022. "Expanding the boundaries of the discipline: The 30th‐anniversary issue of Production and Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4257-4261, December.
    3. Sushil Gupta & Medha Tekriwal & Carlos M. Parra, 2022. "Permeation of the term “analytics” in production and operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3651-3667, October.

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