Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 68 - Fostering Growth in Data Science and Analytics
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #323266
Title: Using Six Sigma to Increase a College Campus's COVID-19 Daily Symptom Monitoring
Author(s): Diane Evans* and Megan Korbel
Companies: Rose-Hulman Institute of Technology and Milwaukee Tool
Keywords: Covid-19; Symptom Monitoring; Process Improvement; Six Sigma

As the Covid-19 pandemic surged in 2020, Rose-Hulman Institute of Technology (RHIT) discontinued in-person classes and restructured its class formats to online learning. In August 2020, RHIT implemented a plan called “Rose Ready” to facilitate the safe return of the campus community to in-person instruction. Under “Rose Ready,” all faculty, staff, and students were required to, among other actions, submit an online health check form each day before they were on campus. This form had a myriad of questions and requirements, including submitting a photo of a thermometer with the person’s temperature. Complaints quickly arose about the inconvenience of filling out the form and submission rates began to drop. In Spring Quarter 2021, RHIT’s “Six Sigma in Practice” class used the statistical tools associated with Six Sigma’s “Define, Measure, Analyze, Improve, and Control” methodology to implement changes to increase the daily submission rates of the form. Although the class’s efforts resulted in only temporary increases, positive effects were identified for the RHIT community and future student-participation initiatives. This paper discusses the tools used and outcomes from this work.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program