RUAIH focus area 5 — Transparency, education and training
Area 5 is the human perimeter of the programme: what patients are told, and what staff are taught. It is the smallest area by control count and often the last one addressed — a mistake, because half of its evidence is the dated-record kind.
The two controls
Patient disclosure. A standard for what patients are told about AI’s role in their care — owned by the organisation, not improvised per clinician. Whether the final RUAIH text requires per-system disclosure is not publicly available; the control that survives any version of the text is having a standard, so the organisation’s answer is a policy rather than a shrug. Evidence: the disclosure standard itself.
Workforce training. Role-specific education — clinicians on interpreting AI-influenced outputs and their authority to override, operators on the systems themselves, leadership on governance duties. Evidence: the curriculum and completion records, which are dated and therefore accumulate rather than draft.
The practical read
The disclosure standard is a drafting exercise — the artifact pack ships it written. Training is a calendar exercise whose records cannot be backdated, which is why it sits fourth in the preparation order: start the completions clock early and the area is quietly done by the time anyone asks.
Asked alongside this
Do patients have to be told about every AI system?
No published RUAIH text answers this. The consensus direction is disclosure proportional to the AI's role in care decisions — and the control is having a standard, so the answer is organisational policy rather than each clinician's improvisation.
Who needs AI training?
The consensus pattern is role-specific: clinicians using AI-influenced outputs, staff operating the systems, leaders governing them. The evidence is the curriculum plus completion records — who, what, when.
← All RUAIH questions, areas and terms · The complete healthcare AI governance guide · Score your readiness