Connecticut Children’s Medical Center (CCMC) is a non-profit medical organization that specializes in children’s care. CCMC asked the MQP team to demonstrate the value of predictive analytics. The team developed a model that improved CCMC’s forecasting accuracy for 88% of their metrics, an inventory demand model that expanded COVID testing, and an optimization model for behavioral health staffing that could save $1mil+/year. Adopting the team's models has highlighted the potential impact of further predictive modeling and industrial engineering work at CCMC.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Borges, Jacob O.
• Nabahani, Jihan
• Tanny, John E.

Subject

• Health
• Industry
• Innovation
• Computing

Publisher

• Worcester Polytechnic Institute

Identifier

• 16516
• E-project-032921-110449

Parola chiave

• Optimization
• Forecasting
• Behavioral Health
• ARIMA
• COVID-19

Award

• Provost's MQP Award

Advisor

• Johnson, Sharon

Year

• 2021

Sponsor

• Connecticut Children's Medical Center

UN Sustainable Development Goals

• 9 - Industry, Innovation and Infrastructure

Date created

• 2021-03-29

Resource type

• Major Qualifying Project

Major

• Industrial Engineering

Rights statement

• In Copyright

Ultima modifica

• 2024-04-12