HEE report shows diagnostics lead in NHS use of AI

Image source: istock.com/metamorworks

Diagnostics has become the most common use of artificial intelligence in the NHS, according to the first roadmap report on the subject by Health Education England (HEE).

The report aims to identify the AI ​​impact workforce and comes with the launch of an interactive dashboard showing the distribution, use case profiles, spread and view of set of technology.

Among the key findings of the report are that diagnostic technologies, such as those used in imaging, pathology and endoscopy, have so far provided the most common use of AI in healthcare (share of 34%), followed by service automation/efficiency, P4 Medicine (predictive, preventive, personalized, participatory), telemonitoring, therapeutics and others.

In addition, large-scale deployments of 56 technologies are expected to occur within a year, with 77% used in secondary care, 23% in primary care, and 7% in community care.

The roadmap highlights the need for this to be supported by a holistic, cross-organisational strategy to adapt education on the use of AI in the NHS. It also highlights the need to monitor the spread of AI to ensure equitable access to new products across all regions, points of care and site types.

Another finding was that a total of 155 workforce groups across 67 clinical areas were identified as using AI technologies, with the most affected groups being clinical radiology and general medicine physicians as well as non-clinical administrative staff.

Support the workforce

Dr Hatim Abdulhussein, Clinical Lead of the Digital Technologies, AI and Robotics in Education (DART-Ed) Program at HEE, said: “It is important that we achieve transformation through emerging technologies, helping scalability to improve patient care across the country, and can understand system, journey, and user impact.

“We need to ensure the workforce is ready to support this goal and the ideas in this roadmap will focus our efforts on education and training to achieve this.”

The roadmap was developed in cooperation with healthcare analytics and evaluation specialist Unity Insights, the National Institute for Health and Care Excellence, the NHS AI Lab and the NHS Accelerated Access Collaborative.

It was produced to build on the legacy of the 2019 Topol review, which focused on preparing the NHS workforce for the increasing use of digital technology in healthcare.

The dashboard allows the user to explore the research data behind the report by filtering by technology type, service point, clinical area, workforce group, and geographic breakdown.

The research reflects the growing consensus that AI will play an important role in future healthcare. HEE released report and scorecard closes NHS Business Service award of master supply contract for use of technology in stroke treatment, NHS England prepares pilot project on stroke assessments algorithmic impact and the Medicines and Healthcare products Regulatory Agency has published a set of principles for medical devices using AI or machine learning.

Image source: istock.com/metamorworks

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