Paul Taylor

Paul Taylor is professor of health informatics at UCL.

From The Blog
7 May 2018

Jeremy Hunt announced last Wednesday that as many as 270 women may have died because an error in a computer algorithm prevented 450,000 women being invited for routine breast cancer screening appointments. Stories about IT glitches will be increasingly common as artificial intelligence enables more and more healthcare to be automated. As things stand, people are still better than computers at detecting early signs of cancer on mammograms, and the neural networks currently being designed to analyse the images are intended for use as an aid rather than a replacement for human decision making. The hope is to engineer systems that combine the different strengths of humans and computers, with outcomes that neither is capable of independently. The sad reality is that we seem to end up with systems that combine an all-too-human capacity for error with a computer’s blunt force, and so wreak havoc at an inhuman scale.

Whose Property? Big Medical Data

Paul Taylor, 8 February 2018

Patients​ often complain that their GP spends more time typing and looking at a computer screen than listening to them. This isn’t really new: doctors have kept records of their encounters with patients since the time of Hippocrates. But changes in record-keeping practices have both reflected and enabled the development of modern scientific medicine, which is less concerned with...

From The Blog
15 May 2017

There are no good news stories about computers and the NHS. The reporting of Friday’s malware attack may, however, be usefully different from the typical bad news story, in which hubristic politicians or nameless bureaucrats waste millions, if not billions, of public funds on projects which go over budget, fail to deliver, prove to be unusable or collapse under pressure. In this instance it seems that, for once, inaction and underinvestment have led to something sufficiently focused to be newsworthy, showing that there can be a political as well as a human cost to doing nothing.

The conventional way of writing, say, a chess program has been to identify and encode the principles underpinning sound play. That isn’t the way DeepMind’s software works. DQN doesn’t know how to repel an invasion. It doesn’t know that the electronic signals it is processing depict aliens. DeepMind searches the game data for correlations, which it interprets as significant features.

From The Blog
10 February 2016

‘Around 6000 people lose their lives every year because we do not have a proper seven-day service in hospitals,’ Jeremy Hunt said on 16 July 2015. ‘You are 15 per cent more likely to die if you are admitted on a Sunday compared to being admitted on a Wednesday.’ A Department of Health statement later clarified that the figures came from an analysis ‘soon to be published in the BMJ’. Nick Freemantle, a professor of epidemiology at UCL, had been invited by Bruce Keogh, the chief medical officer, to update a 2012 analysis of hospital data, apparently on the suggestion of Simon Stevens, the new chief executive of NHS England. The resulting paper wasn’t accepted by the BMJ until 29 July, after Hunt’s speech. When it appeared in September, it contained no reference to the 6000 figure.

Read anywhere with the London Review of Books app, available now from the App Store for Apple devices, Google Play for Android devices and Amazon for your Kindle Fire.

Sign up to our newsletter

For highlights from the latest issue, our archive and the blog, as well as news, events and exclusive promotions.

Newsletter Preferences