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Hospital-acquired infections (HAIs) are one of the most common and preventable harms in the NHS. They affect around 300,000 patients each year in England, lead to 7.1 million extra bed days, and cost approximately £2.7 billion annually. Between 35% and 55% of these infections could be prevented with earlier detection and intervention.
The main challenge is that early signs of infection are hidden within patient data and are difficult to identify in time. Existing tools, such as NEWS2, are not designed specifically to detect infection and usually only trigger when a patient is already deteriorating, limiting opportunities for early, less invasive treatment.
At the same time, clinical teams are under pressure. NHS hospitals often run at over 95% bed capacity, and staff spend significant time manually reviewing data across multiple systems instead of acting on it. Although the necessary information exists within hospital EPR systems, most of it (around 97%) is not used effectively.
The impact is significant. Each HAI can extend a hospital stay by 7–10 days and increase the likelihood of critical care admission, use of broad-spectrum antibiotics, and readmission. This leads to fewer available beds, higher costs, and avoidable harm to patients.
Hospitals need a way to analyse patient data in real time and provide clear, actionable insights to clinicians within their existing workflows.
MEMORI is an AI-powered clinical decision support platform that predicts hospital-acquired infections up to 7 days before clinical signs appear, enabling clinical teams to intervene earlier, more effectively and with less resources.
The platform works by analysing multimodal patient data in real time directly from the hospital's EPR. Rather than requiring clinicians to manually piece together a clinical picture from fragmented systems, MEMORI continuously monitors the full patient record and generates risk scores that surface actionable intelligence at the point of care, within the workflows teams already use.
This is not a standalone system that requires new logins or parallel workflows. MEMORI is embedded directly within the EPR, co-designed with clinical and Electronic Patient Record (EPR) teams to integrate seamlessly into existing processes.
MEMORI delivers clear benefits across four areas: patient outcomes, workforce capacity, trust productivity, and system efficiency.
For patients, earlier detection of infection risk enables earlier treatment before conditions worsen. This reduces the need for broad-spectrum antibiotics, lowers the risk of critical care admission, and shortens hospital stays. In practice, MEMORI can detect infection risk up to 72 hours earlier than current standards, helping prevent complications such as sepsis, reducing readmissions, and improving overall patient experience.
For the workforce, MEMORI saves time by automating the monitoring of patient data. This reduces administrative workload and allows clinicians to focus more on care. Evidence shows it saves around 20 minutes per clinical handover, with strong adoption by clinical teams.
For trusts, earlier detection and prevention of infections can save 7–10 bed days per patient, freeing up capacity and improving patient flow. It also reduces costs linked to antibiotics, critical care admissions, and temporary staffing.
At a system level, MEMORI supports more targeted antibiotic use, helping tackle antimicrobial resistance. Its interoperability also allows data to support wider population health insights and system-wide goals to reduce preventable harm
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