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Healthcare Systems Engineering


To consistently provide optimal care, meet efficiency targets, improve clinical productivity while keeping costs down, health care organisations must be continuously reconfigured within their unique existing constraints.


Through our expertise in the development of the closed-loop lifecycle framework we deliver a strong emphasis on modelling and analysis of highly unstructured complex service systems. By integrating data mining with process mining we can improve healthcare system quality and productivity.
Our Pathway Variation Analysis methodologies and technologies analyse, monitor and conduct root cause analysis for whole system improvements that directly benefit patient care whilst simultaneously improving quality and efficiency.


The interdisciplinary approach to our research integrates complex service system modelling, decision making, industrial engineering (operations research/ simulations) and health economics.


Professor Darek Ceglarek