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AthawaleS_dis (final comments 1).pdf (1.59 MB)

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Chemotherapy Appointment Scheduling and Operations Planning

Athawale, Samita
http://orcid.org/0000-0002-7959-2859
http://rave.ohiolink.edu/etdc/view?acc_num=akron1428951061

Abstract Details

2015, Doctor of Philosophy, University of Akron, Mechanical Engineering.
In recent times operational planning and scheduling has become extremely important in healthcare delivery systems due to increase in demand and limited supply, even more so in chemotherapy clinics. Cancer is one of the most commonly found diseases in general population today and there are new techniques conceived almost every day to better cure and control this disease. There has been a shift in the responsibilities of care givers with nurses being more involved in care delivery task today than ever before [4]. Studies show that the growth of this resource is not enough to catch up with the demand and hence it is imperative to cut down inefficiencies in cancer clinics by making use of the nursing resource optimally. It has been concluded through various surveys that one of the biggest problems causing delays in care delivery for cancer patients is scheduling appointment at clinics and keeping those appointment times. There is a considerable amount of delay between patients physically being present for their appointments and the actual appointment start times. This research aims to develop a mathematical model to handle the chemotherapy scheduling problem by optimally assigning patients to nurses and reducing the nurse utilization. This problem is uniquely interesting because, unlike other scheduling requirements, cancer patient require variable nursing times, their appointment durations are not fixed and they require various other resources such as chairs/beds, etc. The mathematical model presented in this study is tested at a cancer clinic in a community hospital in northeast Ohio and the results are discussed in this dissertation. Also, the effect of various different scenarios on the operations of the cancer clinic is tested using a discrete event simulation model.
Shengyong Wang, Dr. (Advisor)
Narender Reddy, Dr. (Committee Member)
Zhong-Hui Duan, Dr. (Committee Member)
Chien-Chung Chan, Dr. (Committee Member)
Xiaosheng Gao, Dr. (Committee Member)
77 p.
Health Care Management; Industrial Engineering; Operations Research
Chemotherapy Scheduling, Mathematical Model, Operations Research, Simulation Model

Recommended Citations

Citations

  • Athawale, S. (2015). Chemotherapy Appointment Scheduling and Operations Planning [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428951061

    APA Style (7th edition)

  • Athawale, Samita. Chemotherapy Appointment Scheduling and Operations Planning. 2015. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1428951061.

    MLA Style (8th edition)

  • Athawale, Samita. "Chemotherapy Appointment Scheduling and Operations Planning." Doctoral dissertation, University of Akron, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428951061

    Chicago Manual of Style (17th edition)

akron1428951061
16,193
© 2015, some rights reserved.Creative Commons License Chemotherapy Appointment Scheduling and Operations Planning by Samita Athawale is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Akron and OhioLINK.