Intro A week ago, Havard Business Review published an article on process mining and provided reasons for companies to adopt it. If you need a refresher on the concepts of process mining, you can refer to my first post. Conducting process mining is easy with R’s bupaR package. bupaR allows you to create a variety of visualizations as you analyse event logs. It includes visualizations of workflow on the ground which you can then compare them against theoretical models to discover deviations.
Recap In the last post, the discipline of event log and process mining were defined. The bupaR package was introduced as a technique to do process mining in R.
Objectives for This Post Visualize workflow Understand the concept of activity reoccurrences We will use a pre-loaded dataset sepsis from the bupaR package. This event log is based on real life management of sepsis from the point of admission to discharge.
Event Logs The digitalization of healthcare is more than just electronic medical records. It has also allowed each instance a clinician conducts an activity for a patient to be stored as a log. These logs stored in the healthcare institution’s information system are known as event logs. Event logs captured these fundamental information:
Activity Activity is a well-defined step in a process. For example, in a hospital admission, activities include registration, blood test, discharged