Out of the 25% of preventable mortalities, most happen before ambulances are able to get to the hospital [1]. Currently, pre-hospital care is “an area of limited organizational expertise” [1] and as such is in want of a technology that will take the guess work out of ambulance transportation. To address this need, we endeavor to design a program that will consider the patient’s needs and the distance of the ambulance from the available hospitals and use this information to choose field hospitals that best meet these requirements. A program is developed that utilizes weighted sums with each factor being the importance of the need, as rated by the EMS worker, combined with whether the given hospital meets that specification. Optimizations are then developed, formulating the Ambulance Problem in terms of binary linear programming. Both the program and optimizers work as intended and deliver an ordered list of three recommendations of hospitals to bring the patient to.

• 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

• Mahoney, Emily

Subject

• Well-Being
• Health
• Innovation
• Computing

Publisher

• Worcester Polytechnic Institute

Identifier

• 52431
• E-project-032122-144401

Stichwort

• Ambulance
• Optimization
• Medical

Advisor

• Smith, Therese Mary

Year

• 2022

UN Sustainable Development Goals

• 3 - Good Health and Well-being

Date created

• 2022-03-21

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright