Understand real world evidence (RWE) and learn how to use it
Real world data (RWD) is the huge quantity of data that falls outside the boundaries of controlled clinical trials, data that is increasingly used to inform decisions in healthcare. Real world evidence (RWE), is the conclusions drawn from this data.
On this course you will learn how real world evidence can be used in healthcare, exploring current trends and existing methodologies for using it. You will consider ethics, design thinking, commercial applications, and the limitations of RWE.
You will also practice using RWE, applying a user-friendly business intelligence tool to examine RWD.
What topics will you cover?
Week 1 - Principles of Real World Evidence, Health and How they Align
Week 2 - Information Governance and Data Results Deployment
Week 3 - Design Thinking, Methodology and Framework
Week 4 - Analysing Real World Data using Business Intelligence
Week 5 - Developing Real World Evidence from Real World Data
Who is the course for?
This course is for anyone with an interest in the relationship between ICT and healthcare, especially those interesting in data analysis. You might be an undergraduate student in data science, an analyst or commercial manager working in life sciences pharmaceuticals, healthcare regulation, biotech and medical devices. This course focuses on UK health data, however the course is relevant to learners in other countries.