Data Analysis in Appointment Scheduling
Description
Appointment scheduling in health care systems is a well-established domain, however, the top commercial services neglect scheduling analytics. This project explores the benefit of utilizing data analysis to equip health care offices with insights on how to improve their existing schedules. The insights are generated by comparing patients’ preferred appointment times with the current schedule coverage and calculating utilization of past appointments. While untested in the field, the project yielded promising results using generated sample data as a proof of concept for the benefits of using data analytics to remove deficiencies in a health care office’s schedule.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2020-05
Agent
- Author (aut): Bowman, Jedde James
- Thesis director: Chen, Yinong
- Committee member: Balasooriya, Janaka
- Contributor (ctb): Computer Science and Engineering Program
- Contributor (ctb): Barrett, The Honors College