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Data Science for Healthcare: Using Real World Evidence

InnoEnergy and EIT Health via FutureLearn

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Overview

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.

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.

To take part in this course, you will need a computer with high-speed access to the internet.

Taught by

Edward Meinert

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