Patients will receive better care thanks to a world-first AI early warning system being developed to automatically identify safety concerns across the NHS, helping stop failures before they escalate.
It follows a pledge by the Health and Social Care Secretary to overhaul health and care regulation, root out poor performance and guarantee patients safe, quality care.
There have been growing concerns about safety in the NHS in recent years after a spate of scandals including in mental health and maternity services.
The new safety warning system, being developed as part of the government’s 10 Year Health Plan, will rapidly analyse healthcare data and ring the alarm bell on emerging safety issues.
Work on rolling out the system is already underway. A new Maternity Outcomes Signal System will launch across NHS trusts from November, using near real-time data to flag higher than expected rates of stillbirth, neonatal death and brain injury.
When fully implemented, it could analyse hospital databases to identify patterns of abuse, serious injuries, deaths, or other incidents that can slip through the net, cause harm and stop hospitals from running safely.
Where concerns are raised, the Care Quality Commission (CQC) will deploy specialist inspection teams as soon as possible to investigate and take swift action.
Health and Social Care Secretary Wes Streeting said:
"While most treatments in the NHS are safe, even a single lapse that puts a patient at risk is one too many. Behind every safety breach is a person - a life altered, a family devastated, sometimes by heart-breaking loss.
"Patient safety and power are at the heart of our 10 Year Health Plan. By embracing AI and introducing world-first early warning systems, we’ll spot dangerous signs sooner and launch rapid inspections before harm occurs.
"This technology will save lives - catching unsafe care before it becomes a tragedy. It’s a vital part of our commitment to move the NHS from analogue to digital, delivering better, safer care for everyone."
Source: Gov.UK, 30 June 2025
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