European AI network: The University Hospitals of Leicester NHS Trust (UHL) and University Hospitals of Northamptonshire NHS Trust (UHN) Group have used AI to become the first NHS organisation in England to join the European Trustworthy and Responsible AI Network (TRAIN)
This partnership shows the continued efforts to explore and use Artificial intelligence (AI) technologies in healthcare, hoping that it will improve patient outcomes, operational efficiency and the overall healthcare experience.
Creating voice technology through the European AI network
UHL and UHN developed a new area of innovation that trials ambient voice technology.
This technology is designed to capture notes during patient consultations and drastically reduce the administrative burden on clinicians.
The technology acts like a “scribe,” transcribing doctor-patient conversations and creating accurate, real-time medical records.
This allows healthcare professionals to spend more time focusing on patient care than other tasks because this development could help enhance both the efficiency and quality of care.
Clinical coding through AI
In collaboration with Microsoft, UHL and UHN are working to change how patient data is managed, especially regarding discharge summaries, patient records, and overall data quality.
Efficient clinical coding ensures that patient information is accurately recorded. This is essential to improving patient outcomes, streamlining healthcare workflows, and ensuring that medical records are reliable and up-to-date.
AI-driven translation platforms
UHL and UHN are now also testing AI-driven translation platforms that could change the accessibility of healthcare information. These platforms can translate health-related videos into multiple languages in seconds.
This innovation is particularly important in addressing the needs of diverse populations, making sure that patients who don’t speak English have the same access to important health information as everyone else.
It also offers better communication, which is important for improving patient comprehension, adherence to treatment, and overall health literacy.
These new plans align with the European TRAIN initiative, which hopes to create a network of organisations committed to responsible AI use in healthcare. TRAIN members can collaborate to maintain AI technologies’ safety, quality, and trustworthiness.
The registry will allow organisations to exchange insights and results, ensuring that data privacy remains a top priority while AI integrates into healthcare practices.
European AI network: Making AI safe for widespread use
As part of TRAIN, UHL and UHN will have access to a wider network of healthcare leaders across Europe. This collaboration will allow them to enhance the ethical implementation of AI, share technological advancements, and improve healthcare standards across the continent.
The ultimate goal is ensuring that AI solutions are rolled out safely and equitably, benefiting patients, communities, and healthcare professionals.
The focus on AI in healthcare is also gaining significant attention within the UK government. In February 2025, Hetan Shah, the CEO of The British Academy, delivered a keynote address warning that the NHS and the UK government could not simply “overlay tech on a failing service.”
This statement shows the importance of addressing underlying healthcare system challenges before implementing new technologies. The UK’s AI Action Opportunities Plan, launched in January 2025, aims to position the UK as a global leader in AI by establishing a national data library that will support AI development and harness the value of public data.
Through initiatives like the European TRAIN network, UHL and UHN are playing a crucial role in shaping the future of AI in healthcare. By embracing AI technologies responsibly and collaboratively, these trusts are setting a standard for the ethical use of AI in medical settings.
