Solventum™ Follow-up Finder

Thrombosis | AI solution of the year

Supporting thrombosis care teams to identify VTE earlier and safer

Co-developed with The Newcastle upon Tyne Hospitals NHS Foundation Trust

Female doctor explaining medical treatment with digital tablet to a patient during consultation.

Why VTE demands action How it works The results Contact us

Why VTE demands urgent action in the UK

Venous thromboembolism (VTE) is recognised as one of the leading causes of preventable death associated with hospital admission in the UK. It contributes to thousands of avoidable deaths each year and remains a serious risk for patients both during and after their hospital stay, while also placing considerable pressure on NHS resources.

25,000+

Preventable deaths annually in the UK

50%+

Associated with a hospital stay

£640 M

Annual cost to the NHS

AI-powered insight. Clinician-led decisions

AI designed to support clinical governance: empowering clinicians, not replacing them.

Follow-Up Finder - Thrombosis uses Natural Language Understanding (NLU) to automatically identify thousands of clinically relevant findings in radiology reports and brings them straight into the EHR workflow without adding new processes.

Step 1

NLU reads radiology reports in real time

Step 2

Identifies confirmed or suspected VTE patients

Step 3

Generates an actionable patient list inside your EPR

Step 4

No more manual review. Nurses work through the prioritised list and engage directly with patients

Built for your workflow

You stay in control — with better visibility and fewer manual steps.

No manual searches
Standardised detection
Earlier patient review
More time for direct care
Integrating into your existing EHR

This system has been clinically validated with >99.9% sensitivity, screening over 300,000 reports in its first year, with just 0.1% false positives (around five per week) as reported by Newcastle, demonstrating a highly reliable solution for routine clinical use.

What does it take to successfully embed AI into real NHS clinical workflows?

Drawing on the Newcastle Hospitals experience, this article explores how co-design, governance and clinician engagement can turn digital innovation into meaningful clinical impact.

Read full article

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The results

Increase in VTE detection

A circle chart showing 48 percent shaded with 48% in the middle

Reduction in avoidable HATs

A circle chart showing 40 percent shaded with 40% in the middle

Per nurse, per day released

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Results reported by Newcastle Hospitals NHS Foundation Trust

Recognised for measurable impact

Outcomes that are independently recognised and reflect rigorous clinical scrutiny and real-world healthcare impact.

AI Solution of the Year

HTN Now Awards

Best Use of Workplace Technology

Nursing Times Workforce Awards

Finalist for Use of Technology on Clinical Practice

HSJ Partnership Awards