Skip to 0 minutes and 0 seconds Health care has changed significantly in the past decades. Through advances in medicine and science in general, more and more diseases can be treated more effectively. However, this has also increased the complexity of the health care system. Medical staff needs more training, machines are becoming more and more complex, and multiple solutions exist to cure a particular disease. This all increased the cost of health care significantly. 10% of the gross domestic product of almost any country is being spent on health, and only growth is predicted. But in this day and age, we have the data. Data can help us analyse what’s going on, and suggest improvements.
Skip to 0 minutes and 0 seconds In this course, we will teach you how to use event data and process mining techniques to analyse the data that’s already there to get insights and suggest improvements for the processes. Consider this very simple process of a patient treatment. I hope you can see that this generates a lot of data that can be used to analyse the process flow, and provide insights and suggestions for improvement. Using process mining techniques, applied on this data, we can automatically discover a process model. A process model describes which activities are performed, and in which order. And in the top model, you see yellow dots, moving through the model indicating where patients are at a particular time and date in history.
Skip to 0 minutes and 0 seconds in the bottom model, we are projecting time performance on this process model. We automatically discover this model, and time is now being projected on the activities, showing where queues exist. This allows you to analyse the process flow in great detail. When you follow this course, you will learn how to get this data, how to apply existing techniques to get these models. But also, how you can analyse conformance and compliance issues with current rules and regulations, how users are working together, and much more. If you follow this MOOC, then you will be able to do all this on the data in your health care organisation.
Skip to 0 minutes and 0 seconds I’m Joos Buijs from Eindhoven University of Technology, and I hope to see you again in this course.