Project to Help NHS Digital Pathology Accelerate

SectraThe National Pathology Imaging Co-operative, NPIC, opens opportunities for NHS trusts throughout the country to digitise pathology and improve patient diagnoses, following new funding and expanding the usage of Sectra's digital pathology solution and VNA.

A multi-million pound NHS initiative that already spans six trusts is expanding to help laboratories across different parts of the UK digitise their pathology services. Big wins are expected for patients and busy healthcare professionals.

Led by Leeds Teaching Hospitals NHS Trust and laboratories in the surrounding region, the National Pathology Imaging Co-operative - known as NPIC - is a collaborative of NHS trusts, academia and industry partners.

NHS laboratories in the co-operative are now becoming amongst the most technologically advanced and interconnected anywhere in the world. Organisations involved are ending their reliance on microscopes by sharing digital images of patients' tissue. In turn, they will be able to send images to specialists more easily and embrace artificial intelligence to enhance how illnesses are diagnosed and managed.

Now, supported by a second wave of funding from UK Research and Innovation, a five-year agreement with the collaborative's existing medical imaging technology partner Sectra, signed in October 2021, will see NPIC expand its reach to more trusts.

Initially this will involve providing support to more hospitals in the North of England, but the agreement will also allow NPIC to scale its approach and the Sectra technology to other hospitals across the country, as many more consider how to begin digital pathology initiatives and take advantage of emerging government funding.

In addition, it will allow NPIC to create two new specialist digital pathology networks in paediatrics and sarcoma tissue cancers, enabling national referral networks to provide the best diagnoses for these rare cancers.

Professor Darren Treanor, NPIC's director, and a practising pathologist at Leeds Teaching Hospitals NHS Trust, said: "Digital pathology is now a national priority. Many NHS hospitals want to take advantage of this powerful technology to deliver a better service for patients. With NPIC, we hope to provide a proven model, underpinned with advanced technology from Sectra, that will help many more hospitals quickly realise their ambitions and benefit from the groundwork we have already done."

Basharat Hussain, deployment director at NPIC, added: "Our work may have begun with a regional focus, but we are moving to address some significant clinical priorities nationally in areas like paediatrics and sarcoma cancer, where pathology specialists are especially scarce. We have now identified a significantly bigger application for our programme. We have shown how digital pathology can work and we can help the rest of the NHS replicate and scale using our learnings, in order to get pathology digitised to support better patient care."

The agreement follows a separate November announcement from the UK government that commits £248 million over the next year to help modernise NHS diagnostics using the latest technology.

Jane Rendall, managing director for Sectra UK and Ireland, said: "We have been working with hospitals and regions throughout the UK for years to embrace digital approaches to diagnostics in a way that improves the working lives of staff, and that enables sustainable new ways to deliver services and cope with rising demand. NHS organisations are now embarking on this journey at pace, and have an opportunity to learn from pioneers, such as those in the North of England, who have been committed to making this work, and who are now ready to scale their success."

About NPIC

National Pathology Imaging Co-operative, NPIC (Project no. 104687) is supported by a £50m investment from the Data to Early Diagnosis and Precision Medicine challenge, managed and delivered by UK Research and Innovation (UKRI).

NPIC is a unique collaboration between NHS, academic and industry partners. NPIC is deploying digital pathology across hospitals in the North of England and will develop artificial intelligence tools to help diagnose cancer and other diseases.

About Sectra

With more than 30 years of innovation and approaching 2,000 installations worldwide, Sectra is a leading global provider of imaging IT solutions that support healthcare in achieving patient-centric care. Sectra offers an enterprise imaging solution that provides a unified strategy for all imaging needs while lowering operational costs. The scalable and modular solution, with a VNA at its core, allows healthcare providers to grow from ology to ology and from enterprise to enterprise. Visit Sectra's website to read more about Sectra and why it’s top-ranked in 'Best in KLAS'.

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...