Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients

Sujee Lee; Xiang Zhong; Hyo Kyung Lee; Cong Zhao; Philip A. Bain; Tammy Kundinger; Craig Sommers; Christine Baker; Jingshan Li

doi:10.1109/COASE.2017.8256164

Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients

Sujee Lee, Xiang Zhong, Hyo Kyung Lee, Cong Zhao, Philip A. Bain, Tammy Kundinger, Craig Sommers, Christine Baker, Jingshan Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces an optimization model to support decision making for selection of appropriate incentive-based interventions to reduce readmissions of patients with chronic obstructive pulmonary disease (COPD). Such a model can be used to identify the optimal incentive policies to encourage patients taking appropriate interventions so that the readmission risk can be minimized under an incentive budget constraint. Closed formulas are derived under various budget scenarios and managerial insights are discussed to guide intervention implementation. The results of this work provide a quantitative tool to support hospitals planning of intervention activities.

Original language	English
Title of host publication	2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Publisher	IEEE Computer Society
Pages	562-567
Number of pages	6
ISBN (Electronic)	9781509067800
DOIs	https://doi.org/10.1109/COASE.2017.8256164
Publication status	Published - 2017 Jul 1
Externally published	Yes
Event	13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China Duration: 2017 Aug 20 → 2017 Aug 23

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2017-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	13th IEEE Conference on Automation Science and Engineering, CASE 2017
Country/Territory	China
City	Xi'an
Period	17/8/20 → 17/8/23

Bibliographical note

Funding Information:
This work is supported in part by NSF Grant No. CMMI-1536987.

Funding Information:
ACKNOWLEDGEMENT The authors thank to the help of Jesus Chavez Mees, Henry Rose, and Bo Zhang of University of Wisconsin-Madison and the support from staffs of St. Mary’s Hospital.

Publisher Copyright:
© 2017 IEEE.

Keywords

Chronic obstructive pulmonary disease (COPD)
incentive
intervention
optimal policy
readmission

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/COASE.2017.8256164

Cite this

Lee, S., Zhong, X., Lee, H. K., Zhao, C., Bain, P. A., Kundinger, T., Sommers, C., Baker, C., & Li, J. (2017). Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients. In 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017 (pp. 562-567). (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2017.8256164

Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients. / Lee, Sujee; Zhong, Xiang; Lee, Hyo Kyung et al.
2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE Computer Society, 2017. p. 562-567 (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, S, Zhong, X, Lee, HK, Zhao, C, Bain, PA, Kundinger, T, Sommers, C, Baker, C & Li, J 2017, Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients. in 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE International Conference on Automation Science and Engineering, vol. 2017-August, IEEE Computer Society, pp. 562-567, 13th IEEE Conference on Automation Science and Engineering, CASE 2017, Xi'an, China, 17/8/20. https://doi.org/10.1109/COASE.2017.8256164

Lee S, Zhong X, Lee HK, Zhao C, Bain PA, Kundinger T et al. Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients. In 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017. IEEE Computer Society. 2017. p. 562-567. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/COASE.2017.8256164

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abstract = "This paper introduces an optimization model to support decision making for selection of appropriate incentive-based interventions to reduce readmissions of patients with chronic obstructive pulmonary disease (COPD). Such a model can be used to identify the optimal incentive policies to encourage patients taking appropriate interventions so that the readmission risk can be minimized under an incentive budget constraint. Closed formulas are derived under various budget scenarios and managerial insights are discussed to guide intervention implementation. The results of this work provide a quantitative tool to support hospitals planning of intervention activities.",

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Incentive-based optimal intervention policy to reduce hospital readmissions for COPD patients

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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