Evaluation of Digital Health Interventions

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Evaluation of Digital Health Interventions

This course is part of Digital Health Specialization

Instructor: Ana Luisa Neves

6,468 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

59 reviews

Intermediate level

Some related experience required

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

59 reviews

Intermediate level

Some related experience required

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments¹

AI Graded see disclaimer

Taught in English

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This course is part of the Digital Health Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 4 modules in this course

This course focuses on data, evaluation methods and the economic evaluation of digital health interventions. This module focuses on key data considerations for digital health including data management, data visualisation and methods for evaluating digital health interventions. The key focus is on experimental and quasi-experimental design approaches that can be applied to evaluating digital health interventions and key considerations for the economic evaluation of digital health interventions.

During this week, the focus will be on data considerations for digital health. This will be illustrated through examples around electronic disease surveillance and strategies for the extraction of medical data and how to present it. We will get you to think about what aspects of this would be challenging in your own context. The focus of the module then moves onto data visualisation with key case studies and examples of how to interrogate large datasets to examples of data visualisation. There will be a specific activity for you to do in this module in Tableau on visualising data.

What's included

2 videos17 readings1 assignment4 discussion prompts1 plugin

2 videos Total 11 minutes

Interrogating Large Healthcare datasets 8 minutes
Interview with James Scott-Brown: Data Visualisation 4 minutes

17 readings Total 420 minutes

About Imperial College London 10 minutes
About the digital health team 10 minutes
How to be successful in this course? 10 minutes
Grading Policy 10 minutes
Glossary 10 minutes
Introductory reading on Evaluating Digital Heath Interventions 20 minutes
Data and Digital Health — Why is it important? 40 minutes
Types of Data in Digital Health 30 minutes
Data Requirements and Considerations for Digital Health 40 minutes
Data Management 15 minutes
(Video) Visualising big data to tackle antimicrobial resistance 10 minutes
Infection in Hospitals: Using individual patient movement data 20 minutes
Big Data and the real world 75 minutes
(Video) Optional: Are we entering a Post-Antibiotic World? 15 minutes
Text Mining to Track Outbreaks 45 minutes
Hans Rosling Data Presentation and Summary of Examples 40 minutes
Visualisation using Tableau 20 minutes

1 assignment Total 30 minutes

Data considerations, uses, and visualisations 30 minutes

4 discussion prompts Total 40 minutes

Nice to meet you! 10 minutes
Data Considerations in Practice 10 minutes
Visualisation Activity 10 minutes
Data visualisations: your examples 10 minutes

1 plugin Total 15 minutes

Pre-Course Survey 15 minutes

In this week, you will learn about real world case studies to improve real-time data collection and monitoring for Ebola building and the use of process evaluation to evaluate this intervention. You will then hear about interesting ways that data can be routinely used in healthcare with examples from the UK National Health Service.

What's included

4 videos5 readings2 assignments

4 videos Total 25 minutes

Introduction to the Ebola Contact Tracing Study 5 minutes
The Ebola Contact Tracing Study 5 minutes
Process evaluation in Digital Health 4 minutes
Interview with Ben Glampson: Routinely captured data 11 minutes

5 readings Total 187 minutes

Pre-reading - Digital approaches to contact tracing 15 minutes
Design, development and implementation of the Ebola Contact Tracing Study 2 minutes
Follow-up reading 90 minutes
NHS Data and Translational research 20 minutes
Appraisal of Digital Health intervention evaluation 60 minutes

2 assignments Total 60 minutes

Follow up from previous reading 30 minutes
Summative Quiz 30 minutes

This module focuses on methods for evaluating digital health interventions and you will focus on experimental and quasi-experimental evaluation approaches that can be applied to evaluating digital health interventions. You will then be introduced to real-world examples of some of these approaches and key considerations for randomised control trials. You will then focus on a specific example of methodological concerns of an evaluation of a digital medicine system, the limitations of this study and the NICE Evidence Framework.

What's included

3 videos8 readings1 assignment2 discussion prompts

3 videos Total 15 minutes

Evaluating Digital Health Interventions 3 minutes
Economic Evaluation in Healthcare 5 minutes
Health Economics and Digital Health interventions 7 minutes

8 readings Total 365 minutes

Evaluation Methods for Digital Health Interventions 10 minutes
Monitoring and Evaluating Digital Health Interventions 45 minutes
Key considerations for Randomised Control Trials 10 minutes
Adaptive Designs and designing efficient RCTs 60 minutes
Natural Experiments 45 minutes
Reviewing the Babylon study 60 minutes
NICE evidence standard framework 60 minutes
Optional: Cost Benefit Analysis 75 minutes

1 assignment Total 30 minutes

Knowledge on Randomised Control Trials 30 minutes

2 discussion prompts Total 50 minutes

Limitations of the Babylon study 25 minutes
NICE evidence framework in context 25 minutes

In this week, you will learn about frameworks and models for evaluation, what robust trials are and examples of these, logic models and how to design a statistical analysis plan.

What's included

3 videos9 readings1 assignment1 peer review2 plugins

3 videos Total 20 minutes

Logic models 7 minutes
Evaluating an implemented Digital Health intervention 7 minutes
Interview with Maxine Mackintosh 6 minutes

9 readings Total 432 minutes

Evaluating Complex Interventions 120 minutes
Robust Trials 90 minutes
Process and engagement measures 60 minutes
Designing a statistical analysis plan 1 minute
Statistical analysis plan 60 minutes
Feedback 1 minute
Big Data and quasi-experimental design 75 minutes
Optional: (Podcast) Sepsis Alert Saves Lives 15 minutes
Digital Health resources for wider reading and careers 10 minutes

1 assignment Total 15 minutes

Evaluating a Digital Health intervention 15 minutes

1 peer review Total 180 minutes

Evaluation strategy for a digital monitoring system in a London hospital 180 minutes

2 plugins Total 30 minutes

Designing a statistical analysis plan 15 minutes
Post-Course Survey 15 minutes

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Instructor

Instructor ratings

(18 ratings)

Ana Luisa Neves

Imperial College London

3 Courses 27,486 learners

Offered by

Imperial College London

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Reviewed on Dec 11, 2025

Thank you so much for such wonderful insights and knowledge sharing.

Reviewed on Dec 20, 2025

Very intresting and eye opeing

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