소장자료
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020 | ▼a9798379565329▲ | ||
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035 | ▼a(MiAaPQ)umichrackham004839▲ | ||
040 | ▼aMiAaPQ▼cMiAaPQ▲ | ||
082 | 0 | ▼a362.1▲ | |
100 | 1 | ▼aDeRoos, Luke J.▲ | |
245 | 1 | 0 | ▼aManaging Chronic Health Conditions with Limited Resources▼h[electronic resource]▲ |
260 | ▼a[S.l.]: ▼bUniversity of Michigan. ▼c2023▲ | ||
260 | 1 | ▼aAnn Arbor : ▼bProQuest Dissertations & Theses, ▼c2023▲ | |
300 | ▼a1 online resource(144 p.)▲ | ||
500 | ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: B.▲ | ||
500 | ▼aAdvisor: Lavieri, Mariel.▲ | ||
502 | 1 | ▼aThesis (Ph.D.)--University of Michigan, 2023.▲ | |
506 | ▼aThis item must not be sold to any third party vendors.▲ | ||
506 | ▼aThis item must not be added to any third party search indexes.▲ | ||
520 | ▼aIn this work, we aim to help patients and providers manage chronic health conditions using operations research. Providing quality care to patients means managing limited resources, including time, money, and medication. We explore two approaches to minimize the burden of resource scarcity on patient outcomes: 1) reducing resource demand and 2) increasing resource availability. First, we focus on reducing resource demand by optimizing the treatment regimen required to prevent disease progression. We provide a means of finding the optimal treatment interval for a patient in order to minimize the number of treatments and clinic visits without compromising patient health. We then provide a framework for optimizing the treatment of multiple chronic conditions and describe when it is optimal to synchronize treatment across conditions. We highlight the usefulness of these treatment planning models using a case study on patients with neovascular age-related macular degeneration, a chronic eye disease. Second, we seek to maximize the availability of chronic disease treatment in situations where patients face resource scarcity, such as in the case of organ transplantation. For patients on the transplant waiting list, the need for transplants far outpaces donation rates. We describe two polices designed to improve patient outcomes by increasing donation rates. We believe this work offers both theoretical and practical value to the field of healthcare operations research. By making chronic disease treatment more efficient and more readily available, we hope that the decision policies presented here drive meaningful change and make a lasting difference in the lives of patients.▲ | ||
590 | ▼aSchool code: 0127.▲ | ||
650 | 4 | ▼aHealth care management.▲ | |
653 | ▼aOptimization▲ | ||
653 | ▼aHealth care▲ | ||
653 | ▼aChronic disease▲ | ||
653 | ▼aMarkov decision process▲ | ||
653 | ▼aSimulation▲ | ||
690 | ▼a0796▲ | ||
690 | ▼a0769▲ | ||
710 | 2 | 0 | ▼aUniversity of Michigan.▼bIndustrial & Operations Engineering.▲ |
773 | 0 | ▼tDissertations Abstracts International▼g84-12B.▲ | |
773 | ▼tDissertation Abstract International▲ | ||
790 | ▼a0127▲ | ||
791 | ▼aPh.D.▲ | ||
792 | ▼a2023▲ | ||
793 | ▼aEnglish▲ | ||
856 | 4 | 0 | ▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16933655▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.▲ |
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Managing Chronic Health Conditions with Limited Resources[electronic resource]
자료유형
국외eBook
서명/책임사항
Managing Chronic Health Conditions with Limited Resources [electronic resource]
개인저자
발행사항
[S.l.] : University of Michigan. 2023 Ann Arbor : ProQuest Dissertations & Theses , 2023
형태사항
1 online resource(144 p.)
일반주기
Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Advisor: Lavieri, Mariel.
Advisor: Lavieri, Mariel.
학위논문주기
Thesis (Ph.D.)--University of Michigan, 2023.
요약주기
In this work, we aim to help patients and providers manage chronic health conditions using operations research. Providing quality care to patients means managing limited resources, including time, money, and medication. We explore two approaches to minimize the burden of resource scarcity on patient outcomes: 1) reducing resource demand and 2) increasing resource availability. First, we focus on reducing resource demand by optimizing the treatment regimen required to prevent disease progression. We provide a means of finding the optimal treatment interval for a patient in order to minimize the number of treatments and clinic visits without compromising patient health. We then provide a framework for optimizing the treatment of multiple chronic conditions and describe when it is optimal to synchronize treatment across conditions. We highlight the usefulness of these treatment planning models using a case study on patients with neovascular age-related macular degeneration, a chronic eye disease. Second, we seek to maximize the availability of chronic disease treatment in situations where patients face resource scarcity, such as in the case of organ transplantation. For patients on the transplant waiting list, the need for transplants far outpaces donation rates. We describe two polices designed to improve patient outcomes by increasing donation rates. We believe this work offers both theoretical and practical value to the field of healthcare operations research. By making chronic disease treatment more efficient and more readily available, we hope that the decision policies presented here drive meaningful change and make a lasting difference in the lives of patients.
ISBN
9798379565329
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