NHS England urged to adopt AI to boost digital efforts

Reform offers 16 recommendations to improve the use of AI in public healthcare

The NHS has been urged to consider using AI to boost its digital transformation efforts.

Think tank Reform believes the NHS can benefit from using AI, detailing how in its report Thinking on its own: AI in the NHS.

"Despite the hype around AI in healthcare, examples of it being implemented and deployed in the NHS are sparse," the report notes. "Broadly speaking, it is incumbent on individual providers to introduce new technologies into the NHS. With a different approach to technological adoption, however, which would gradually embed AI in service transformation plans, the future could look quite different."

Reform thinks the NHS should take the potential of AI and use it to develop a detailed framework for purchasing AI-enabled systems, making sure it remains a focused activity, and developing services that would benefit the majority, rather than the minority.

This includes collecting the right type of data, in the right format for an AI application, and sharing it securely with all those that would benefit from its insights. 

"The healthcare system is still heavily reliant on paper files and most of its IT systems are not based on open-standards," the report continued. "This limits the exchange of information across the health system. Increasing the quality of the data collected within the NHS is of crucial importance as the accuracy and fairness of AI algorithms are wholly dependent on the data they are being fed."

However, the NHS must also address the concerns of both its workers and the public around AI. Getting buy-in from both the public and healthcare professionals means confidence will be raised and outcomes will have more of an impact, Reform believes.

The think tank has put forward 16 recommendations to the NHS, including creating training datasets for other organisations that can use them to train algorithms for use in the public health service and that IT companies in charge of AI for the NHS should be responsible if systems fail.

Previously the NHS has been criticised for its approach to sharing data, axing its care.data scheme to pool patient data following a review by the National Data Guardian in 2016. A deal with DeepMind to share 1.6 million patients' data was branded "inexcusable" by academics, and the hospital involved had its knuckles rapped by the healthcare watchdog in May last year.

Featured Resources

The ultimate guide to business connectivity in field services

A roadmap to increased workplace efficiency

Free download

The definitive guide to migrating to the cloud

Migrate apps to the public cloud with multi-cloud infrastructure solutions

Free download

Transform your network with advanced load balancing from VMware

How to modernise load balancing to enable digital transformation

Free download

How to secure workloads in hybrid clouds

Cloud workload protection

Free download

Most Popular

How to find RAM speed, size and type
Laptops

How to find RAM speed, size and type

17 Sep 2021
What are the pros and cons of AI?
machine learning

What are the pros and cons of AI?

8 Sep 2021
Best MDM solutions 2020
mobile device management (MDM)

Best MDM solutions 2020

17 Sep 2021