Healthcare System Engineering for sustainable care
Prof Darek Ceglarek
TOPICS:
(1) Simulation of sustainable healthcare systems for productivity and quality
improvement
(2) Modelling, Analysis and Prediction of quality failures in healthcare
(3) Modelling and simulation of unneeded variation in healthcare
(4) Management of Medical Technologies, including for example remote diagnostics of
medical equipment (CTs, MRIs, …)
DESCRIPTION: PhD opportunities are available for motivated students interested in research
involving the analysis and simulations of Hospitals-of-the-Future. Projects will explore
innovative ways to model complex unstructured health care service delivery processes from
a systems perspective. The objective is to develop methods and algorithms to model and
simulate unnecessary variation in complex systems such as hospitals and health care
organizations. Students will work within a multidisciplinary team to analyse health care data
using multiple analytical tools, develop data models and algorithms, and conduct simulation
and analysis which will lead to optimisation of decision-making in health care settings,
health care productivity and quality improvement.
REQUIREMENTS: Candidates must have a degree in one of these fields: mechanical
engineering, industrial engineering, operations research, management science, or computer
science/engineering. Candidates must be self-motivated, possess excellent communication
skills, an ability to work in teams and adhere to all project deadlines. The candidate is
expected to develop analytical and computational skills and submit results of work for
publications in academic literature. An original contribution to knowledge in the field is
expected.
Candidates with some knowledge/experience on any of these subjects are encouraged to
apply: optimization, data mining/6-sigma, statistics, numerical programming, programming
languages (C++, java, etc), experience in software (such as MATLAB, etc.), simulations
(Discrete Events Simulations). Some familiarity with Java, C++, MATLAB and Visual Basic and
any knowledge of simulation modelling can be very helpful.