Course features

This three-day course aims to provide attendees with an understanding of of how digital technologies can be used to collect, manage, and analyse real-world health data, as well as the opportunities and challenges associated with their implementation. Through a combination of expert-led lectures, interactive discussions, and practical sessions, attendees will gain hands-on experience of digital health research and learn how these technologies are being applied across healthcare, academia, and industry.

Participants will also be introduced to RADAR-base, King's College London's open-source digital health platform, used internationally to support remote monitoring studies using smartphones, wearables, and other connected devices. 

Topics include:

• Wearable and smartphone sensing technologies
• Remote monitoring and digital biomarkers
• Digital health study design and data collection
• Data analysis and visualisation
• AI applications in healthcare
• Ethics, governance, and data privacy
• Patient and Public Involvement and Engagement (PPIE)
• Future trends in digital health

The course combines theoretical knowledge with practical experience, equipping participants with skills that can be applied in research, healthcare, and industry settings.

Our expertise

Who is this for?

This course is designed for:

• Healthcare professionals interested in digital innovation and remote monitoring
• Researchers working in healthcare, public health, psychology, medicine, and related disciplines
• Data scientists and analysts interested in health data
• Industry professionals working in digital health, MedTech, or healthcare technology
• Postgraduate students seeking practical experience in digital health technologies

What you will learn

By the end of the course, participants will be able to:

• Understand the principles of digital health and wearable technologies
• Describe the role of remote monitoring and digital biomarkers in healthcare
• Design digital health studies using smartphones and wearable devices
• Understand methods for collecting, managing, and analysing health-related data
• Explore applications of artificial intelligence in healthcare
• Evaluate ethical, governance, privacy, and regulatory considerations
• Understand the importance of Patient and Public Involvement and Engagement (PPIE)
• Gain practical exposure to the RADAR-base platform

Teaching format

The course combines:

• Expert-led lectures
• Interactive discussions
• Practical demonstrations
• Hands-on activities using real-world digital health tools and datasets

Participants will gain both theoretical knowledge and practical experience that can be directly applied in research, healthcare, and industry settings.

Entry requirements

Applicants should have an interest in digital health, healthcare innovation, data science, or wearable technologies.

No specialist background is required; however, familiarity with healthcare research, health data, or digital technologies will be beneficial.

Further information

• Refreshments and lunch are included on all three days of the course.
• Accommodation is not included.
• Full joining instructions will be shared with participants before the course begins.
• Successful completion certificate will be presented to the attendees at the end of the course.