Process mining in healthcare

In this course you will learn how you can analyze healthcare data by applying process mining techniques and the process mining tool ProM. The course is divided in four weeks, where in each week we combine theory and concepts, with practical exercises and real-world examples. Throughout the course we will show how certain analysis can be done in the free and open source process mining tool ProM.

Quizzes and tests

Each activity will have at least one quiz to test what you’ve learned. We distinguish two types of quizzes: one that will test concepts and whether you understood the lecture, and a second type that will walk you through the use of the tool ProM and test whether you understood. Similarly, each week will be closed by a test to verify what you have learned that week. At the end of the course there is an additional test that walks you through a process mining project, and asks you for some key results and insights.

Concrete topics

Concretely, we will cover the following topics in this course (among others):

1. Process mining in general
2. Event data in the healthcare environment
3. Event data handling and conversion
4. Event data exploration
5. Process discovery and conformance checking
6. Process improvement and challenges in healthcare

Learning outcomes

By the end of this course you will be able to:

1. Explain how process mining can help in analysing and improving healthcare processes
2. Identify opportunities for process mining in a healthcare organisation
3. Describe the data requirements in order to apply process mining
4. Interpret the results of various process mining techniques in the ProM lite tool
5. Apply ProM lite on real data to obtain process mining results

Educators

This course is a collaborative effort between several partners, giving you different insights in the field. In the next step each of the educators will introduce themselves briefly.

• Joos Buijs, Eindhoven University of Technology