Date of Graduation
12-2014
Document Type
Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Degree Level
Undergraduate
Department
Industrial Engineering
Advisor/Mentor
Zhang, Shengfan
Committee Member/Reader
Rainwater, Chase E.
Abstract
This research addresses the issue of unnecessary treatment and late discharge for mental health inpatients. In this thesis, a dynamic decision model is proposed to determine the optimal timing to discharge a patient from hospital that considers both the impacts of over-treatment and not enough treatment on patients recovery. We measure the reward of making the discharge decisions in terms of hospitalization cost and readmission cost. The objective is to minimize the total expected cost for patients and provides hospital care providers with theoretical methods to assist them to make a better decision about discharge planning and management.
Citation
Duan, P. (2014). Hospital Discharge Decision Modeling for Mental Health Inpatients. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/29
