Greenmoor Health and Care NHS Trust — systems ranked by assurance state

Step-by-step guidance on whether DCB0129 and DCB0160 apply to your system — the first question every deployment should answer.

MHRA guidance for stand-alone software and apps (incl. IVDs) — determines whether your software qualifies as a medical device.

Clinical risk management standards for deploying organisations and manufacturers — the backbone of every lifecycle gate.

Champion for patients on medicines and medical device safety — putting patients at the heart of decisions.

Shared definitions for AI terminology — keeps committee language consistent across the organisation.

A–Z of national AI guidance, case studies and assurance resources for health and care.

Learn from Patient Safety Events — the national service every vikela incident report aligns to.

PMS, PCCPs, intended purpose as a lifecycle obligation, and human oversight as a degrading variable.

Includes the Newton's Tree FAMOS case study: inference values, AI/human agreement, data input quality.

The taxonomy behind vikela's risk categorisation — also used in the UK Healthcare AI Safety Registry.

Where vikela incident learning is shared — LFPSE-aligned, so the whole system learns, not just one Trust.

The peer-reviewed scoping review that underpins vikela's four assurance pillars — fairness, transparency, trustworthiness, and accountability. Stogiannos et al., DOI: 10.1259/bjr.20221157.

Validation framework for AI in healthcare — anchors pilot and revalidation gate checks.