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Process Mining in Healthcare

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Future Learn
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Course Features

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Duration

4 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Healthcare has thousands of variables and complex processes that produce data. These include patient treatment, lab results, and internal logistical processes. This data can be used to improve these processes and eliminate bottlenecks.

This course will help you understand how process mining can transform data into valuable insights. We'll be looking at various areas of process mining, and how they have been applied. Even better, you will be able to apply process mining to real-life healthcare data.

Course Overview

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Alumni Network

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Apply ProM lite on real data to obtain process mining results

Describe the data requirements in order to apply process mining

Explain how process mining can help in analysing and improving healthcare processes

Identify opportunities for process mining in a healthcare organisation

Interpret the results of various process mining techniques in the ProM lite tool

Target Students

It will also be of interest to process mining enthusiasts who want to know more about the application of process mining to healthcare

This course is for healthcare experts who want to find out more about using data to solve problems and execute ideas

You don't need any prior experience, just a keen interest in the topic

Course Instructors

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Davide Aloini

Instructor

Davide Aloini is Associate Professor of Business Process Management at the Department of Energy, Systems, Land and Constructions Engineering at the University of Pisa, Italy.
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Joos Buijs

Instructor

Assistant professor at Eindhoven University of Technology at the Data Science Center (DSC-e) and research group of prof. dr. ir. Wil van der Aalst on process mining.
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Jorge Munoz-Gama

Instructor

Assistant Professor in the Computer Science Department at the Pontificia Universidad Católica de Chile (UC). Author of the book "Conformance Checking and Diagnosis in Process Mining."
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Lucia Sacchi

Instructor

I am Assistant Professor at the University of Pavia, in Italy. I work at the Biomedical Informatics Lab, mainly on temporal data analysis and clinical decision support systems.
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