393. Operational Research challenges in healthcare
Invited abstract in session TD-1: Sanja Petrovic, stream Keynotes.
Tuesday, 14:30-16:00Room: Great Hall
Authors (first author is the speaker)
| 1. | Sanja Petrovic
|
| Division of Operations Management and Information Systems, Nottingham University Business School |
Abstract
Various Operational Research methods have been developed for all levels of decision-making in healthcare including strategic level, for example, for capacity planning, location of facilities, services to be offered, facility layout, etc; tactical level, for example, for supply chain management, equipment selection, financial resource allocation, staffing levels, etc; and operational level, for example, for appointments booking, personal scheduling, inventory replenishment, etc.
This talk will discuss the role of Operational Research, Data Science and Artificial Intelligence as related disciplines in a number of healthcare problems. First, this talk will introduce the problem of radiotherapy planning of patients and a Case-based Reasoning system developed to support this decision-making process. Then scheduling problems in healthcare including appointments booking, and future work on junior doctor rotas will be discussed. The role of data mining, especially some innovative ways of patients clustering we are developing, will be presented. The focus will be on the real-world problems present in the healthcare institutions we have collaborated with. The developed methods will be presented, formula free.
The talk will complete with insights into challenges that research with healthcare institutions may pose, and some directions for future research work.
Keywords
- Health Care
Status: accepted
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