Learning Healthcare Systems
Providing high-quality care is the goal of every healthcare organization. But how do you know whether you are making the right decisions? In this course, you will learn how to use healthcare data to assess the quality of care and analyze quality-related issues. You will become familiar with methods such as audit and feedback, as well as decision support, to support quality improvement in clinical practice.
Online education with flexible study pace
Experienced teachers
Practical insights
For whom?
Healthcare professionals who want to actively contribute to quality improvement and innovation using clinical decision support systems (CDSS), supported by data and AI.
Admission requirements
You can enroll with a completed bachelor’s or master’s degree (HBO or WO level) and at least two years of professional work experience in healthcare.
Contact
Do you want more information on Learning Healthcare Systems? Our team is ready to answer your questions.
E: healthinformatics@amsterdamumc.nl
T: +31 (0)6 82 08 06 09
Program
In this course, you will learn how to identify and analyze quality issues in healthcare. You will explore how to effectively apply improvement strategies and how to design, implement, and maintain clinical decision support systems (CDSS). This will enable you to directly translate quality improvements into clinical practice.
Topics
- Measuring and improving quality of care (PDCA, audits and feedback, root cause analysis)
- Designing and evaluating clinical decision support systems (CDSS)
- Applicable cognitive theories and technical methods that enable computers to support healthcare professionals
- Quality indicators, medical registries, funnel plots, and rankings
Course details
This course is offered entirely through e-learning. The study programme provides clear weekly deadlines to complete the course within 8 weeks, but you also have the option to progress at your own pace, either faster or slower. In addition, you will work on assignments both individually and in groups with fixed deadlines.
The exam is administered online, with an option for students to take it onsite at Amsterdam UMC (AMC location) upon request.
Course materials and assignments can be followed in either Dutch or English. Most of the literature is in English.
What will participants learn?
- Reflect on existing quality measurements in healthcare, including their objectives and legal frameworks
- Apply methods to assess and collect clear, action-oriented quality indicators
- Use a medical registry to benchmark the quality of care
- Improve the quality of care using audit and feedback
- Follow the steps required to implement an AI model or other clinical knowledge into a clinical decision support system (CDSS), from concept to practice
- Identify clinical tasks that can be improved through decision support
- Evaluate whether a CDSS application or feature within an electronic health record (EHR) aligns with a clinical use case
- Explore methods and measurement tools to evaluate the effectiveness and impact of decision support tools
Teachers
Dr. Ace Medlock (coordinator/teacher)
Dr. Anita Ravelli (coordinator/teacher)
Tuition Fees
| Costs | Subscription Deadline | Start Date | |
| Course Fee* | € 2.400 | 22 February 2027 | 1 March 2027 |
* a 25% discount rate applies for Amsterdam UMC employees
What’s included?
The program fee includes the examination fee and access to online study materials.
Payments
Each course will be charged by invoice after the start of the course.
Cancellation Policy
You can cancel your registration free of charge until the start of the course. After the start of the course, refunds are no longer possible.
Funding
In the Netherlands, professionals who live and work in the country can apply for a loan for the program fee through the Lifelong Learning Credit (Levenlanglerenkrediet) at the Education Executive Agency (DUO).
Stay connected
Connect with us on LinkedIn to stay informed on news in the field of Health Informatics and on our program.
The Learning Healthcare Systems course is part of the national Microcredentials pilot. This means that after successfully completing one of these courses, you can obtain a digital certificate in the form of a microcredential. This recognized qualification adds value to individual learning units by ensuring the quality of the course and enables professionals to demonstrate acquired knowledge and skills to (future) employers or other educational institutions.
