52% of NHS trusts already deploying AI, says NetApp study

20% of NHS trusts said that they used AI for clinical care, while 16% said AI was used for diagnosis purposes.

Speech recognition was found to have been used by 28% of trusts, while 25% said they were using robotic process automation (RPA), and machine learning by 13%.

Understanding the maturing role of AI in RPA

When RPA initiatives fail to reach fruition, there’s a natural assumption that this is because the robots aren’t smart enough; however, it’s not the job of a robot to be smart: it’s AI’s. Read here

Around one in six (16%), meanwhile, declared plans to roll out AI within the next two years, with 75% having appointed an AI-specific decision maker for their trust.

Data governance policies also seem to be kept in mind, with 59% of trusts either planning to review them or have already completed a review.

“Artificial intelligence has limitless potential in healthcare services and it’s encouraging to see the technology being used in half of NHS Trusts,” said George Kurian, NetApp‘s chief executive officer and president. “As healthcare moves towards preventative treatment and personalized medicines, artificial intelligence leaders in the NHS have a complex challenge to break through cultural and organizational barriers when it comes to providing healthcare professionals the access to data they require.

“Progress is being made and the further deployment of AI-powered technologies, such as speech recognition and machine learning, will alleviate pressure on staff, accelerate innovation and reduce costs.

“The world of artificial intelligence starts with data, and we are helping healthcare organizations simplify data services and build their data fabrics.”

How AI is revolutionising healthcare: 10 use cases of artificial intelligence in healthcare

The growth of artificial intelligence is evidential. Although we might see it, AI is truly changing our lives directly or indirectly, starting from its application in voice assistants such as Siri, Google Assistance, and Alexa to large scale applications in the supply chain, retail, manufacturing, enterprise mobility, autonomous cars, and more. Despite its progress in other industries and sectors, AI has genuinely made a difference in healthcare and affected thousands of people and made their lives better. Read here

Professor Sebastien Ourselin, Head of School of Biomedical Engineering & Imaging Sciences at King’s College London, added: “At St Thomas’ MedTech Hub, we are at the forefront of utilising data and artificial intelligence to inform clinical decisions.

“We are working on end-to-end solutions that embed AI into the clinical pathway, from early diagnostics to therapeutic interventions.

“High performing and maintainable solutions are key if we are to make these systems trusted and safe for clinical use and NetApp’s findings underline we are moving in the right direction.”

However, only 33% of respondents said they had complete access to their trust’s AI-related data, while 39% have not yet invested in AI at all, meaning that not everyone among the NHS trusts are all in on AI.

This research by NetApp came as a result of a freedom of information request, to which 61 trusts responded.