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More or Less: Behind the Stats

The digital ?robots? unlocking medical data

More or Less: Behind the Stats

BBC

Business, Mathematics, Science, News Commentary, News

4.63.5K Ratings

🗓️ 17 February 2024

⏱️ 10 minutes

🧾️ Download transcript

Summary

Big medical datasets pose a serious problem. Thousands of patients? health records are an enormous risk to personal privacy. But they also contain an enormous opportunity ? they could show us how to provide better treatments or more effective health policies.

A system called OpenSAFELY has been designed to solve this problem, with the help of a computer code ?robot?.

Professor Ben Goldacre, director of the Bennett Institute for Applied Data Science at the University of Oxford, explains how it works. Presenter: Tim Harford Producer: Tom Colls Production co-ordinator: Janet Staples Sound mix: Hal Haines Editor: Charlotte McDonald

Transcript

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0:00.0

Before this BBC podcast kicks off, I'd like to tell you about some others you might enjoy.

0:05.1

My name's Will Wilkin and I Commission Music Podcast for the BBC.

0:08.7

It's a really cool job, but every day we get to tell the incredible stories behind songs,

0:13.5

moments and movements, stories of struggle and success, rises and falls, the funny, the ridiculous.

0:19.1

And the BBC's position, at the heart of British music

0:21.7

means we can tell those stories like no one else. We were, are and always will be right there

0:27.2

at the centre of the narrative. So whether you want an insightful take on music right now, or a

0:32.0

nostalgic deep dive into some of the most famous and infamous moments in music, check out

0:36.5

the music podcasts on BBC Sounds.

0:39.0

Hello and thank you for downloading the more or less podcast. We are your guide to the numbers

0:43.9

in the news and in life. And I'm Tim Harford.

0:49.7

Few things in nerd land are as vexing as huge troves of medical data.

0:55.8

Big medical data sets pose an enormous risk to personal privacy.

1:00.3

They're so sensitive and it's surprisingly easy for bad actors to abuse them.

1:05.3

But big medical data sets also hold out an enormous opportunity.

1:09.9

There's so much we could learn from them about

1:12.0

how to provide better treatments or simply to organise healthcare more effectively. So how can we

1:18.0

seize this opportunity without unleashing a privacy apocalypse? This fellow has an idea.

1:24.4

My name is Ben Goldwecker. I'm Prof Prophet Oxford. I run the Bennett Institute for Applied

1:29.9

Data Science. Ben made his name as a newspaper columnist and the author of Bad Science. Now he

1:36.1

runs a data lab at Oxford University. Let's start by explaining the exceedingly tricky

1:42.0

double-edged conundrum he's been grappling with.

...

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