Evaluation of Digital Health Interventions
- Offered byCoursera
Evaluation of Digital Health Interventions at Coursera Overview
Duration | 32 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Evaluation of Digital Health Interventions at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 3 in the Digital Health Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 32 hours to complete
- English Subtitles: English
Evaluation of Digital Health Interventions at Coursera Course details
- 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.
Evaluation of Digital Health Interventions at Coursera Curriculum
Data considerations for Digital Health
Interrogating Large Healthcare datasets
Interview with James Scott-Brown: Data Visualisation
About Imperial College London
About the digital health team
How to be successful in this course?
Grading Policy
Glossary
Introductory reading on Evaluating Digital Heath Interventions
Data and Digital Health - Why is it important?
Types of data in Digital Health
Data Requirements and Considerations for Digital Health
Data Management
(Video) Visualising big data to tackle antimicrobial resistance
Infection in Hospitals: Using individual patient movement data
Big Data and the real world
(Video) Optional: Are we entering a Post-Antibiotic World?
Text Mining to Track Outbreaks
Hans Rosling Data Presentation and Summary of Examples
Visualisation using Tableau
Data considerations, uses, and visualisations
Real world research: A Proof-of-concept study and translational research
Introduction to the Ebola Contact Tracing Study
The Ebola Contact Tracing Study
Process evaluation in Digital Health
Interview with Ben Glampson: Routinely captured data
Pre-reading - Digital approaches to contact tracing
Design, development and implementation of the Ebola Contact Tracing Study
Follow-up reading
NHS Data and Translational research
Appraisal of Digital Health intervention evaluation
Follow up from previous reading
Summative Quiz
Methods for evaluating Digital Health interventions
Evaluating Digital Health Interventions
Economic Evaluation in Healthcare
Health Economics and Digital Health interventions
Evaluation Methods for Digital Health Interventions
Monitoring and Evaluating Digital Health Interventions
Key considerations for Randomised Control Trials
Adaptive Designs and designing efficient RCTs
Natural Experiments
Reviewing the Babylon study
NICE evidence standard framework
Optional: Cost Benefit Analysis
Knowledge on Randomised Control Trials
Frameworks and Models for Evaluation
Logic models
Evaluating an implemented Digital Health intervention
Interview with Maxine Mackintosh
Evaluating Complex Interventions
Robust Trials
Process and engagement measures
Designing a statistical analysis plan
Statistical analysis plan
Feedback
Big Data and quasi-experimental design
Optional: (Podcast) Sepsis Alert Saves Lives
Digital Health resources for wider reading and careers
Evaluating a Digital Health intervention
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