Imperial College London
Evaluation of Digital Health Interventions
Imperial College London

Evaluation of Digital Health Interventions

This course is part of Digital Health Specialization

Taught in English

Some content may not be translated

Ana Luisa Neves

Instructor: Ana Luisa Neves

3,846 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(19 reviews)

Intermediate level
Some related experience required
32 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

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Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(19 reviews)

Intermediate level
Some related experience required
32 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree

See how employees at top companies are mastering in-demand skills

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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

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 quiz4 discussion prompts1 plugin

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 quizzes

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 quiz2 discussion prompts

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 quiz1 peer review2 plugins

Instructor

Instructor ratings
4.6 (5 ratings)
Ana Luisa Neves
Imperial College London
3 Courses15,693 learners

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