Title: Applying Process Mining to Healthcare Data for Use with DataLoch
Speaker: Anita Klementiev
Abstract: 

Process mining is a set of techniques for extracting knowledge about processes from timestamped event log data. When applied to hospital information system (HIS) data, process mining can be used to find the most frequently followed patient care paths, investigate differences in care paths followed by different patient groups, analyse compliance with internal and external guidelines, and identify bottlenecks. This talk will give an overview of these different use-cases for process mining, along with a selection of case studies where process mining has been applied to HIS data. Additionally, this talk will cover my applications of process mining using the MIMIC III Intensive Care dataset and the resulting process models. Finally, I will discuss what kind of insights we hope to gain from this experimentation in order to inform meaningful use of process mining with the Edinburgh and South East Scotland data repository known as DataLoch, which is currently under development at the Usher Institute.