Evaluation of Digital Health Interventions
This course is part of Digital Health.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Digital Health Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(21 ratings)
4,320 already enrolled
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What you'll learn
Master data management in digital health
Implement evaluation methodologies
Analyze healthcare datasets effectively
Design statistical analysis plans
Assess economic impact of interventions
Skills you'll gain
This course includes:
1.1 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on evaluating digital health interventions through various methodological approaches. Students learn about data management, visualization, and analysis in healthcare contexts. The curriculum covers experimental and quasi-experimental design approaches, economic evaluation methods, and frameworks for assessing digital health technologies. Through real-world case studies and hands-on projects, learners develop skills in designing and implementing evaluation strategies for digital health solutions.
Data considerations for Digital Health
Module 1 · 8 Hours to complete
Real world research: A Proof-of-concept study and translational research
Module 2 · 4 Hours to complete
Methods for evaluating Digital Health interventions
Module 3 · 7 Hours to complete
Frameworks and Models for Evaluation
Module 4 · 11 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Digital Health
Instructor
Expert in Medical Statistics and Healthcare Quality
Prof. Alex Bottle is a Professor in Medical Statistics and co-director of the Dr Foster Unit at Imperial College London. His research is centered on measuring and understanding variations in healthcare quality and safety through the use of large databases. In addition to his research, Prof. Bottle teaches across various undergraduate and postgraduate programs, supervises and examines PhD students in fields such as surgery, cardiovascular risk, and digital health, and provides statistical training to the UK public sector.
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4.8 course rating
21 ratings
Frequently asked questions
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