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Navigating Digital Health ebook

External resources

We hope you’ve enjoyed reading this guide. You might want to know more so here we have a list of resources that the team have used and found helpful. We have tried to make sure that all the links work and that the material is correct, but things change over time so if any links are broken or the resources don’t age well, we are sorry and please let us know. If you find any other resources that you think are helpful, please get in touch and let us know and we can add them to the list.

Data

Books

• The Art of Statistics Learning from Data, by David Spiegelhalter is fantastic. We have rewritten some of the examples he gives to make them quicker and easier to read. His book covers the issues in more depth and with many more examples. 
  ISBN 978-0-241-25876-7
• Deep Medicine, by Eric Topol helps to relate how data and AI might be used to change the way we receive medical care in the future.
  ISBN 978-1-5416-4463-2 (hardcopy) and 978-1-5416-4464-9 (ebook)

Available online

• . Both available for free from this website
• . This guide has more examples of data in healthcare and helped us produce our guide.
• is a research project which has worked with the public to explore what it’s like to live with data, AI and automation.

AI

Books

• AI in Healthcare: Theory to Application, Dr Sandeep Reddy
• Machine Learning for Absolute Beginners, Oliver Theobald

Available online

• . This is a free online course developed by the University of Manchester and Health education England. It takes about 10 hours to complete and takes you deeper into AI in healthcare.
• The Health Foundation.
• . These are both reports from well-known and trusted organisations which explore how data and AI may impact health.
• is an online statistics and AI courses and tutorials. These courses are not free but some of the content can be read without payment.