Mental health advocates and researchers presenting to the Lampard Inquiry expressed serious doubts about Oxevision's monitoring technology, stating that evidence supporting its effectiveness remains absent. The inquiry examined claims that the AI-powered system can detect mental distress through facial recognition and behavioral analysis in clinical settings.

Experts testified that Oxevision lacks peer-reviewed validation demonstrating it accurately identifies psychiatric conditions or improves patient outcomes. The technology has been deployed in some UK mental health units despite limited scientific backing. Researchers emphasized the absence of rigorous clinical trials comparing the system's performance against established diagnostic methods.

Concerns centered on both efficacy and ethics. Panelists flagged potential privacy violations, algorithmic bias disproportionately affecting marginalized patients, and the risk of false diagnoses leading to inappropriate treatment. One expert noted that relying on facial recognition for mental health assessment contradicts standard psychiatric practice, which requires direct clinical evaluation and patient conversation.

The Lampard Inquiry, tasked with investigating AI use in the NHS, heard testimony suggesting health authorities adopted Oxevision without adequate evidence review. No published studies demonstrate the technology's reliability across different patient demographics or mental health conditions. Researchers warned that deployment without validation could harm vulnerable populations already skeptical of surveillance in healthcare.

The hearing reflects broader tensions in UK healthcare. The NHS has embraced AI tools to address staff shortages and improve efficiency, but implementation often outpaces evidence generation. Mental health services, already stretched, face pressure to adopt new technologies that promise efficiency gains. However, mental health conditions require nuanced clinical judgment that current AI systems cannot replicate.

The inquiry's findings will likely influence future NHS procurement policies around unproven health technologies, particularly those involving biometric monitoring or AI diagnostics.