BI-Driven Management of Patient Flows in Health Care Organizations

Hospitals in Ontario are operating at congestion levels that translate into long wait times, staff burnout, and inefficiencies. Decisions coping with problems are made based on incomplete data which may be days out of date because the data is collected, processed and delivered manually in an ad hoc manner. Furthermore, these decisions may be optimal for a particular department, but sub-optimal for the hospital as a whole. Our proposed research project will develop a systematic, model-based framework that supports the development and deployment of applications to collect, process and deliver data in a continuous, timely fashion to support the management, analysis and decision support of patient flows. The focus will be on cardiac patient flow management at a hospital in Brampton (William Osler Health System). This will increase the effectiveness and efficiency of organization operations and improve outcomes and user experience for both the public and organizational staff.

Faculty Supervisor:

Daniel Amyot

Student:

Partner:

IBM Canada Ltd;University of Ottawa

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Ottawa

Program: