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Brief description

Rapid advances in artificial intelligence (AI) and machine learning (ML) are transforming healthcare, improving patient care and the work of professionals. This pathway explores key applications of AI in the context of digital health, including automated decision support in clinical settings, digital tools and AI-driven evidence-based processes. By integrating AI into healthcare practice, these courses equip professionals with the knowledge and skills to improve efficiency, accuracy and patient outcomes in an increasingly technology-driven medical landscape.  They will also learn how to implement these types of processes in their systems. 

Target

Healthcare providers (general)

Objectives

• Have a basic introduction to different healthcare fields where Artificial intelligence (AI) is applied.
• Have a basic understanding of what is AI.
• Explore how different Machine Learning (ML) algorithms work.
• Know how this technology is applied in different fields of patient care.
• Identify different case of study of implementing machine learning methods in healthcare context.
• Know the steps to implement a ML method in your service.

Skills

• Understand an AI project.
• Distinguish different methodologies of AI and ML.
• Know how to implement AI tools in their services.
• Identify the needs for the implementation of ML in healthcare.
• Promote innovation in your service.

Duration

90h

Courses

These are the courses included in the pathway. To earn the pathway certificate, make sure you complete each one listed below. You can access the courses by clicking the buttons below.

4.6 Automated decision support in healthcare and clinical settings
4.8 Patients’ follow-up
4.9 Patients’ triage based on digital tools
4.12 Evidence based nursing by using AI
4.13 Long-term care transformation

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Once you have completed the required courses, you will be able to download the pathway certificate from this section.

Pathways certificates