Stochastic simulation of clinical pathways from raw health databases

Martin Prodel, Vincent Augusto, Xiaolan Xie, Baptiste Jouaneton, Ludovic Lamarsalle
2017 2017 13th IEEE Conference on Automation Science and Engineering (CASE)  
This paper presents a method to automatically create stochastic simulation models of clinical pathways from raw databases. We introduce an automatic procedure to convert a process model, discovered with process mining, into an actionable simulation model. The concept of state charts is used and enriched to incorporate the distinctive features of healthcare processes into the model. The clinical pathway model is used to simulate new patients' sequence of events. The resulting model is validated
more » ... model is validated by comparing key performances indicators with historical data. Finally, we use the model to perform an automatically setup sensitivity analysis. The whole process is automated and can be used with any input data.
doi:10.1109/coase.2017.8256167 dblp:conf/case/ProdelAXJL17 fatcat:wnucot5terclldfq63txkrdafe