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: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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. © 2017 IEEE.

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
Volume	2017-August
ISBN (Print)	9781509067800
DOIs	https://doi.org/10.1109/COASE.2017.8256164
Publication status	Published - 1 Jul 2017
Externally published	Yes
Event	13th IEEE Conference on Automation Science and Engineering, CASE 2017 - Xi'an, China Duration: 20 Aug 2017 → 23 Aug 2017

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
Place	China
City	Xi'an
Period	20/08/17 → 23/08/17

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

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

Research Keywords

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

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10.1109/COASE.2017.8256164

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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 (Vol. 2017-August, 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

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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. {\textcopyright} 2017 IEEE.",

keywords = "Chronic obstructive pulmonary disease (COPD), incentive, intervention, optimal policy, readmission",

author = "Sujee Lee and Xiang Zhong and Lee, {Hyo Kyung} and Cong Zhao and Bain, {Philip A.} and Tammy Kundinger and Craig Sommers and Christine Baker and Jingshan Li",

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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. vol. 2017-August, 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, 20/08/17. 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. Vol. 2017-August IEEE Computer Society, 2017. p. 562-567 (IEEE International Conference on Automation Science and Engineering; Vol. 2017-August).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AB - 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. © 2017 IEEE.

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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. Vol. 2017-August. IEEE Computer Society. 2017. p. 562-567. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/COASE.2017.8256164

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

Abstract

Publication series

Conference

Bibliographical note

Funding

Research Keywords

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