A deeper look at the causes of hospital readmissions

Zhongyuan Yu; William B. Rouse

doi:10.1109/IEEM.2017.8290026

A deeper look at the causes of hospital readmissions

Zhongyuan Yu
, William B. Rouse

Department of Systems Engineering

Stevens Institute of Technology

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

3 Scopus citations

Abstract

The US Centers for Medicare and Medicaid Services (CMS) penalizes hospitals that readmit patients within 30 days for several diagnoses. Hospitals argue that readmissions are driven by the nature of populations served. Traditional statistical analyses support this assertion. In this article, we show that a deeper analysis, using clustering, provides a richer and more nuanced explanation of readmissions. Specifically, while patient population is a significant factor, the effectiveness of care and patient satisfaction are also contributors. Hospitals that invest in improving effectiveness and satisfaction should be able to lower readmission rates.

Original language	English
Title of host publication	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Pages	919-923
Number of pages	5
ISBN (Electronic)	9781538609484
DOIs	https://doi.org/10.1109/IEEM.2017.8290026
State	Published - 2 Jul 2017
Event	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: 10 Dec 2017 → 13 Dec 2017

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2017-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/Territory	Singapore
City	Singapore
Period	10/12/17 → 13/12/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Health Policy
Hospital Readmission

Access to Document

10.1109/IEEM.2017.8290026

Cite this

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title = "A deeper look at the causes of hospital readmissions",

abstract = "The US Centers for Medicare and Medicaid Services (CMS) penalizes hospitals that readmit patients within 30 days for several diagnoses. Hospitals argue that readmissions are driven by the nature of populations served. Traditional statistical analyses support this assertion. In this article, we show that a deeper analysis, using clustering, provides a richer and more nuanced explanation of readmissions. Specifically, while patient population is a significant factor, the effectiveness of care and patient satisfaction are also contributors. Hospitals that invest in improving effectiveness and satisfaction should be able to lower readmission rates.",

keywords = "Health Policy, Hospital Readmission",

author = "Zhongyuan Yu and Rouse, \{William B.\}",

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month = jul,

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doi = "10.1109/IEEM.2017.8290026",

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Yu, Z & Rouse, WB 2017, A deeper look at the causes of hospital readmissions. in 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2017-December, pp. 919-923, 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017, Singapore, Singapore, 10/12/17. https://doi.org/10.1109/IEEM.2017.8290026

A deeper look at the causes of hospital readmissions. / Yu, Zhongyuan; Rouse, William B.
2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. 2017. p. 919-923 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2017-December).

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

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AB - The US Centers for Medicare and Medicaid Services (CMS) penalizes hospitals that readmit patients within 30 days for several diagnoses. Hospitals argue that readmissions are driven by the nature of populations served. Traditional statistical analyses support this assertion. In this article, we show that a deeper analysis, using clustering, provides a richer and more nuanced explanation of readmissions. Specifically, while patient population is a significant factor, the effectiveness of care and patient satisfaction are also contributors. Hospitals that invest in improving effectiveness and satisfaction should be able to lower readmission rates.

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A deeper look at the causes of hospital readmissions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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