Friday, 6th June 2014, 10:30 am (PDCC Meeting Room)
Speaker: Professor Emilio Luque (University Autonoma of Barcelona (UAB))
Title: Simulation and Optimization of Healthcare Emergency Departments by Agent-based Modeling and Simulation
In this seminar I would like to present our research in the design of an Agent-Based Modeling (ABM) simulation, to support decision support systems (DSS) for Healthcare Emergency Departments (ED). The developed model describes the complex dynamics of a hospital emergency department whose behavior results from the actions and interactions of agents (patients, physicians, nurses, managers and other staff). Because most of the ED are worldwide overcrowded and they have difficulties or are unable to give ad-hoc care, quality, and service to patients, our second objective has been to optimize the performance of such complex and dynamic Healthcare ED, e.g. find out the optimal ED staff configuration (doctors, triage personnel, nurses, etc..) to minimize patient length of stay in the ED. The simulation tool proved useful as a decision-making aid, allowing the user to identify the optimal deployment of human resources for attending a specific number of patients. This research has been done with close collaboration of Hospital “Tauli” ED Staff Team.
Emilio Luque: From 1976, professor at the Computer Architecture and Operating System Department at University Autonoma of Barcelona (UAB), Spain, where he is leading the HPC4EAS research group. He has been invited professor in different universities in USA, Asia, Europe and South America, key note speaker in Computer Science Conferences, leader in several research projects founded by the European Union (EU), the Spanish government and different companies and member of the Editorial Board of various Technical Journals. External Researcher at the Computer Science Lab "LIDI" and member of the Board of the PhD program in “Computer Science”, both at the University of La Plata, Argentina. His major research areas are: parallel and distributed simulation, performance prediction, efficient applications and fault tolerance in parallel computers. He has supervised 20 PhD theses and co-authored more than 230 full reviewed technical papers in journals and conference proceedings.