NHS App gets AI triage in GBP 10bn tech overhaul



TL;DR

The UK government will add AI triage to the NHS App to steer patients in England towards GPs, pharmacies, or A&E, reaching 200,000 patients in year one and all users by April 2028. The rollout is part of a GBP 10bn technology overhaul that also includes ambient AI scribes, though health leaders warn the productivity evidence is thin.

The NHS will use AI inside its app to direct patients in England to the right services, the government has announced. The tool will assess symptoms and work out whether someone needs a GP appointment, a pharmacy visit, or a trip to A&E.

The update is expected to reach 200,000 patients over the next year before becoming available to all users by April 2028. It forms part of a £10bn package to overhaul the health service’s technology and data systems.

Ending the so-called 8am scramble for same-day GP appointments was a central promise in Labour’s 2024 manifesto. The government said a trial at Wealden Ridge Medical Partnership in Sussex cut phone queues for GP appointments by 29%, a figure that has not yet been independently published.

Health secretary James Murray, who took the job in May, said he was “certain” the technology would get patients to the right care faster and drive down waiting times. The app move builds on earlier experiments, including OneAdvanced’s sovereign triage model trained on NHS primary-care data and Rapid Health’s Smart Triage, which already lets over a million patients book appointments through the app.

Notes without the note-taking

The package also covers ambient voice technology, which records consultations and drafts clinical notes to cut paperwork. An NHS trial led by Great Ormond Street Hospital across nine London sites found clinicians spent 23.5% more time interacting with patients, a figure officials rounded to 25% in the announcement.

The health service has been leaning into AI at scale for months. NHS England is rolling out Microsoft 365 Copilot to 505,000 staff, and startups such as Frontier Health are building AI agents for NHS admin teams.

The service has even approved an AI physiotherapist that treats patients unsupervised. The app announcement pushes that automation to the front door of the entire system.

Warnings to heed

Health leaders welcomed the investment but questioned the evidence behind it. Lynn Woolsey, chief nursing officer at the Royal College of Nursing, warned of “overstated, overly optimistic assessments” of AI’s productivity benefits, and said new systems must not create bureaucracy by producing flawed work that needs correcting.

She added that patients must be reassured that tools handling their information protect confidentiality. That anxiety lands amid wider scrutiny of NHS data deals, including the review of Palantir’s £330m data platform contract.

Tim Horton of the Health Foundation told the Guardian the plans need a broader long-term strategy for AI across the health system, warning of “piecemeal adoption” without one. NHS Alliance chief executive Ciarán Devane said local leaders need discretion over the money and clarity on what will be mandatory, cautioning that capital budgets have been raided for savings before.

Liability is a live question too, after a Medical Protection Society report in June warned that doctors and the NHS could be sued for mistakes made by AI tools. Pritesh Mistry, a fellow at the King’s Fund, said the real test is whether care feels more joined up, and that the NHS must ensure people are not digitally excluded as services lean on technology.

The 8am scramble may finally have a challenger. What matters now is what happens to the patients who never open the app.



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TL;DR

Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

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The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



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