Building Trust for Transformation: Rethinking Innovation in Digital Health

Key Takeaways

• Co‑design with clinicians built trust in AI tool
• Sensitivity exceeds 99.9%, false negatives under 0.1%
• VTE case detection rose 48%, avoidable HATs fell 40%
• Saved two nursing hours daily, £400k efficiency gains
• Integrated into EPR, no workflow disruption

Summary

The Newcastle upon Tyne Hospitals NHS Trust partnered with Solventum to co‑design an AI‑enabled Follow‑Up Finder tool that screens radiology reports for venous thromboembolism (VTE). By embedding the solution in the electronic patient record, the system achieved over 99.9% sensitivity and a false‑negative rate below 0.1%, boosting VTE case detection by 48% and cutting avoidable hospital‑acquired thrombosis by 40%. The initiative saved roughly two nursing hours per day, generated £400,000 in efficiency savings and released 200 bed days. The project demonstrates that clinician‑led, transparent innovation builds trust and drives rapid adoption in digital health.

Pulse Analysis

Digital health initiatives often stumble when they impose technology without clinician buy‑in. The NHS, grappling with rising VTE mortality and costly preventable events, has turned to a trust‑first approach that places clinicians at the design table. By involving nurses, thrombosis specialists, and IT teams from day one, solutions become transparent, explainable, and aligned with existing safety protocols. This collaborative model not only mitigates the risk of algorithmic opacity but also accelerates adoption, because users see their feedback reflected in each iteration.

The Follow‑Up Finder project at Newcastle upon Tyne Hospitals exemplifies that philosophy. Solventum’s AI engine scans 900 daily radiology reports, flagging potential VTE cases directly within the electronic patient record. The algorithm now operates with over 99.9 % sensitivity and a false‑negative rate below 0.1 %, delivering a 48 % jump in new VTE identification and a 3.5‑fold rise in hospital‑acquired thrombosis detection. Clinicians save roughly two hours of manual review each day, translating into £400 k of efficiency savings, 200 freed bed days, and faster anticoagulation for patients.

Beyond the immediate metrics, the Newcastle experience signals a scalable blueprint for the NHS 10‑Year Health Plan. Embedding AI tools within familiar EPR interfaces preserves workflow continuity while generating actionable insights. The cultural shift—staff trusting a system they helped build—creates a fertile ground for subsequent digital projects, from predictive analytics to remote monitoring. As more trusts adopt co‑design frameworks, the cumulative impact could reduce preventable deaths, lower operating costs, and cement digital health as a reliable pillar of modern care.