LDR | | 00000nam u2200205 4500 |
001 | | 000000434742 |
005 | | 20200227102518 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781687927842 |
035 | |
▼a (MiAaPQ)AAI27536152 |
035 | |
▼a (MiAaPQ)umichrackham002250 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 658 |
100 | 1 |
▼a Liu, Xiang. |
245 | 10 |
▼a Operations Research Models for Reducing Hospital Readmissions. |
260 | |
▼a [S.l.]:
▼b University of Michigan.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 156 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-05, Section: B. |
500 | |
▼a Advisor: Helm, Jonathan |
502 | 1 |
▼a Thesis (Ph.D.)--University of Michigan, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a This item must not be added to any third party search indexes. |
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▼a Hospital readmissions are burdensome and costly to both healthcare providers and patients. In the U.S., one in five Medicare patients is readmitted within 30 days of discharge. We study how to use operations research models to reduce hospital readmissions. Our approach focuses on both the hospital operations level and the policymaker system level. We develop a delay-time optimization framework to maximize the detection of post-operative complications via post-discharge checkups. Then we study how to design a bundled payment policy to balance and incentivize pre and post-discharge readmission reduction efforts. We build a readmission prediction model using laboratory values observed during the index hospitalization. Ultimately, we provide novel methods for reducing readmissions in the continuum of care spanning between the pre- and post-discharge stages, at the hospital and policymaker levels. |
590 | |
▼a School code: 0127. |
650 | 4 |
▼a Operations research. |
650 | 4 |
▼a Industrial engineering. |
690 | |
▼a 0546 |
690 | |
▼a 0796 |
710 | 20 |
▼a University of Michigan.
▼b Industrial & Operations Engineering. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-05B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0127 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494209
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
990 | |
▼a ***1008102 |
991 | |
▼a E-BOOK |