Prof. Dionne M. Aleman

Associate Professor in the Department of Mechanical & Industrial Engineering University of Toronto

Prof. Dionne M. Aleman

Associate Professor in the Department of Mechanical & Industrial Engineering University of Toronto
Title: Healthcare engineering: An analytical approach

Biography

Dionne Aleman is an Associate Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She received her PhD in Industrial and Systems Engineering from the University of Florida. Dr. Aleman’s research interests are in the application of operations research to medical and healthcare systems. This research includes using mathematical optimization models to design radiation therapy treatment plans, using agent-based simulation to predict the spread of a pandemic disease in an urban population, using graph theory to determine vaccination priorities during a pandemic, and using optimization and simulation to improve hospital surgical scheduling. Dr. Aleman has held grants from NSERC, CFI, ORF, and NSF for her research. She is the President of the Canadian Operational Research Society (CORS), as well as a past Vice President and Secretary of CORS Council, and a past Secretary of the Health Care Operations Research Special Interest Group. Within the Institute for Operations Research and Management Science (INFORMS), she is a past Chair of the Health Applications Society (HAS), a past President of the Public Sector OR Section (PSOR), and past President of the Junior Faculty Interest Group (JFIG). Dr. Aleman is also a Topical Editor for the Wiley Encyclopedia of Operations Research and Management Science, Associate Editor for IIE Transactions on Healthcare Systems Engineering, Associate Editor for the International Journal of Biomedical Data Mining, and Editorial Board Member of Operations Research in Health Care.

Presentation Abstract

Operations research applied to healthcare, or healthcare engineering, is a field growing in both interest and capability. The world of healthcare is vast, spanning resource management, patient logistics, treatment planning, and big data. Using modeling, optimization, and simulation tools, OR can be an effective approach to address many decision-making problems in healthcare. In this talk, a wide range of OR healthcare applications will be presented, as well as the challenges that make healthcare unique from other industries.