Course provided by Future Learn

Study type: Online

Starts: Anytime

Price: Free

Overview

Learn how to get the most from healthcare data using process mining

Within healthcare there are thousands of complex and variable processes that generate data including treatment of patients, lab results and internal logistic processes. Analysing this data is vital for improving these processes and ending bottlenecks.

On this course you will explore how process mining can help turn this data into valuable insights by looking at different areas of process mining and seeing how it has been applied. You will even get the chance to apply process mining on real life healthcare data.

What topics will you cover?

Process mining provides a critical, process-centric perspective on data, which is not available with classical data mining or machine learning techniques. Applying process mining in the healthcare environment is extra beneficial since processes are complex, and costs are high.

This course contains 4 weeks:

Week 1 introduced the healthcare environment, discussing current problems and challenges in healthcare process execution. An overview of process mining was also provided, including hands-on experience with the free and open-source process mining tool ProM. A case study was also presented showing how process mining was applied in a healthcare setting.

Week 2 discussed what data is necessary for process mining, and how to obtain this from the health information systems. Opportunities for process mining in healthcare, and a generic project approach was also discussed. This week also discussed concretely how data can be converted to the event log format. A case study was also presented, showing real results on real health data.

Week 3 covered key process mining techniques such as event log inspection (for instance via the dotted chart), event log filtering. The key process mining technique of process discovery is also shown. This week also presented ways to do conformance checking. Another case study involving process discovery was also discussed.

Week 4 focusses more on performance and social network analysis as the final process mining techniques. This week also discusses how processes can be improved using process mining results. Current challenges for process mining in healthcare are also presented.

When would you like to start?

Start straight away and learn at your own pace. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Who is the course for?

This course is for healthcare experts who want to find out more about using data to solve problems and execute ideas. It will also be of interest to process mining enthusiasts who want to know more about the application of process mining to healthcare. You don’t need any prior experience, just a keen interest in the topic.

Who developed the course?

Eindhoven University of Technology

Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956 and has 8,500 students.