"Innovate UK has awarded more than £300,000 in funding to a collaboration between the NIHR HealthTech Research Centre in Sustainable Innovation and UK healthtech company Sanome, to accelerate the development of an AI-enabled system for the early detection of hospital-acquired infections. The 18-month SMART grant will support the co-design and roll-out of MEMORI, a Class IIb CE-certified software-as-a-medical-device (SaMD) platform that analyses real-time clinical data to predict infection risk up to seven days before symptoms appear."
"Hospital-acquired infections (HAIs) account for more than 20 per cent of NHS bed days each year, with research suggesting that between 35 and 55 per cent are preventable through earlier detection and intervention. Conditions such as pneumonia, MRSA and Clostridium difficile contribute an estimated 7.1 million excess bed days annually, at a cost of around £2.7 billion to the NHS. Preliminary studies using MEMORI's first certified version have already shown it outperforming the NHS-standard National Early Warning Score (NEWS2) in detecting patient deterioration."
"The new funding will support the development of enhanced capabilities, including: * Integration of additional multimodal data sources such as laboratory results, prescriptions and clinical notes, alongside existing inputs including vital signs and medications * Deeper integration with Electronic Patient Record (EPR) systems to embed insights into clinicians' existing workflows"
An Innovate UK SMART grant of more than £300,000 funds an 18-month collaboration to co-design and roll out MEMORI, a Class IIb CE-certified SaMD that analyses real-time clinical data to predict infection risk up to seven days before symptoms. Hospital-acquired infections account for over 20% of NHS bed days, with 35–55% potentially preventable through earlier detection; pneumonia, MRSA and C. difficile cause an estimated 7.1 million excess bed days and around £2.7 billion in costs. The funding targets multimodal data integration, deeper EPR embedding, a 20% predictive-accuracy improvement, and improved explainability, with live validation across multiple wards.
Read at Business Matters
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