Data quality
Source, subject, time, unit, quality flags and correction status travel with clinical data.
TRUST
Make measurement quality, critical-result handling, alert escalation, human review and failure visibility explicit in connected-care workflows.
Source, subject, time, unit, quality flags and correction status travel with clinical data.
Critical/urgent rules create accountable review and escalation paths where configured.
Decision-support output is presented with context and does not silently replace professional judgement.
Missing data, stale device state, delivery failure and unacknowledged work remain visible to operators.
Trusted Care supports configured workflows; clinical judgement, diagnosis, emergency response and provider protocols remain with qualified care organizations.
Clinical-safety concerns require the provider’s operational/clinical escalation path; security or service defects should also use their dedicated reporting channels.
The platform should make clear which functions inform a professional, which merely transport data, and which actions require human confirmation. A missing message, stale value or unavailable dependency must fail visibly.
Define the operational/clinical role of each alert, workflow or AI-assisted signal; do not imply diagnosis when the function is informational.
Actions with clinical consequence remain attributable to an authorized professional unless a separately validated automation is explicitly supported.
Surface stale, missing, duplicate or low-quality measurements and preserve source context rather than silently normalizing uncertainty away.
Timeouts, delivery failure and unavailable dependencies create a recoverable state/escalation path instead of a false success state.
Safety controls continue after go-live through incident evidence and controlled change.