This course is part of the Digital Health Specialization

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Lisa Danquah +1 more instructor

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Associated with the Global Master of Public Health degree
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Digital Health SpecializationImperial College London

About this Course

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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.

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Course 3 of 3 in the

Digital Health Specialization

Intermediate Level

Approx. 32 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 3 in the

Digital Health Specialization

Intermediate Level

Approx. 32 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.59/5 (5 Ratings)

Lisa Danquah

10,378 Learners

3 Courses

Céire Costelloe

Senior Lecturer

School of Public Health

10,658 Learners

4 Courses

Offered by

Imperial College London

Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.

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This course is related to the 100% online Global Master of Public Health from Imperial College London. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Week1

Week 1

9 hours to complete

Data considerations for Digital Health

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.

9 hours to complete

2 videos (Total 11 min), 17 readings, 1 quiz

2 videos

Interrogating Large Healthcare datasets7mInterview with James Scott-Brown: Data Visualisation3m

17 readings

About Imperial College London10mAbout the digital health team10mHow to be successful in this course?10mGrading Policy 10mGlossary10mIntroductory reading on Evaluating Digital Heath Interventions20mData and Digital Health — Why is it important? 40mTypes of Data in Digital Health30mData Requirements and Considerations for Digital Health40mData Management 15m(Video) Visualising big data to tackle antimicrobial resistance10mInfection in Hospitals: Using individual patient movement data20mBig Data and the real world1h 15m(Video) Optional: Are we entering a Post-Antibiotic World?15mText Mining to Track Outbreaks45mHans Rosling Data Presentation and Summary of Examples40mVisualisation using Tableau20m

1 practice exercise

Data considerations, uses, and visualisations30m

Week2

Week 2

5 hours to complete

Real world research: A Proof-of-concept study and translational research

5 hours to complete

4 videos (Total 25 min), 5 readings, 2 quizzes

4 videos

Introduction to the Ebola Contact Tracing Study4mThe Ebola Contact Tracing Study5mProcess evaluation in Digital Health3mInterview with Ben Glampson: Routinely captured data10m

5 readings

Pre-reading - Digital approaches to contact tracing15mDesign, development and implementation of the Ebola Contact Tracing Study2mFollow-up reading1h 30mNHS Data and Translational research 20mAppraisal of Digital Health intervention evaluation1h

2 practice exercises

Follow up from previous reading30mSummative Quiz30m

Week3

Week 3

8 hours to complete

Methods for evaluating Digital Health interventions

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.

8 hours to complete

3 videos (Total 15 min), 8 readings, 1 quiz

3 videos

Evaluating Digital Health Interventions3mEconomic Evaluation in Healthcare 4mHealth Economics and Digital Health interventions6m

8 readings

Evaluation Methods for Digital Health Interventions10mMonitoring and Evaluating Digital Health Interventions45mKey considerations for Randomised Control Trials 10mAdaptive Designs and designing efficient RCTs 1hNatural Experiments 45mReviewing the Babylon study1hNICE evidence standard framework1hOptional: Cost Benefit Analysis1h 15m

1 practice exercise

Knowledge on Randomised Control Trials 30m

Week4

Week 4

11 hours to complete

Frameworks and Models for Evaluation

11 hours to complete

3 videos (Total 20 min), 9 readings, 2 quizzes

3 videos

Logic models7mEvaluating an implemented Digital Health intervention7mInterview with Maxine Mackintosh5m

9 readings

Evaluating Complex Interventions2hRobust Trials1h 30mProcess and engagement measures1hDesigning a statistical analysis plan1mStatistical analysis plan1hFeedback1mBig Data and quasi-experimental design1h 15mOptional: (Podcast) Sepsis Alert Saves Lives15mDigital Health resources for wider reading and careers10m

1 practice exercise

Evaluating a Digital Health intervention15m

About the Digital Health Specialization

This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These digital health technologies are assessed in terms of their opportunities and challenges to address real-world public health and health care system challenges in order to improve the quality, safety and efficiency of these services. The aim of this specialisation is to prepare learners for the new era of digitalisation in public health and health care globally.

The design and implementation of digital health interventions aspect of this specialisation address topics to include design thinking, regulatory approaches, ethical considerations, technology adoption, implementation and strategy as applied to digital health. The evaluation component of this course focuses on data considerations in digital health, data management and the evaluation of digital health interventions with a focus on experimental and quasi-experimental design approaches to evaluation and the economic evaluation of digital health interventions.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Evaluation of Digital Health Interventions

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