BMT-05.05 Executive Summary#
BlueMirror.tech | May 2026#
The standard consent pattern in healthcare is a form signed once at intake, scanned into a document management system, and referenced only when someone files a complaint. Data flows based on system permissions, not patient preferences. If the patient revokes consent verbally, the revocation might take days to propagate through the EHR, the pharmacy system, the billing platform, and the referral network.
BlueMirror treats consent not as a document but as a real-time data flow governance mechanism. Every data movement in the system passes through a consent evaluation. The evaluation is not a permission check against a static table. It is a live query against a consent state that can change at any moment and propagate immediately. The distinction is architectural: traditional systems store consent as a record. BlueMirror implements consent as a gate. The record is backward-looking. The gate is present-tense.
Every data flow carries a five-parameter consent context: data type, source domain, destination, purpose, and trust tier. A change in any parameter can change the evaluation result. The person may consent to sharing her medication list with CVS for refill management but not for marketing. Same data type, same destination, different purpose, different result. The system applies reasonable defaults based on domain privacy tiers (health data defaults to sharing-denied until explicitly granted, shopping preferences default to sharing-permitted internally), and the person overrides any default she disagrees with.
Each consent grant has a lifecycle with five states: Pending (requested but not granted, no data flows), Active (granted within scope), Suspended (temporarily paused), Revoked (withdrawn, data flows stop immediately), and Expired (time limit reached, treated as Suspended with a renewal prompt). Every state transition is logged, timestamped, and attributable to a cause.
Propagation follows three tiers matched to urgency. Synchronous propagation governs external data sharing: revocation takes effect in under 100 milliseconds, before the next query from the external party can be processed. Eventually consistent propagation governs internal agents: cached data expires at session end or within five minutes. Cascading propagation handles cross-domain dependencies: the person revokes once, and the system traces the dependency graph and propagates to every affected downstream flow. The buying agent that was filtering groceries by health-derived dietary restrictions reverts to explicit preferences. The service degrades. The service does not break.
The hardest problem is derived data. Consent covers the data shared, not the inferences derivable from it. The pharmacy that receives a medication list can infer diagnoses. The system cannot prevent inference inside external processing, but it constrains agents to their declared purposes through exploration bounds, and it minimizes what data leaves in the first place.
The person’s consent dashboard is a control panel, not a privacy policy. Active consents, pending requests, recent changes, and upcoming reviews are all visible and actionable with simple toggles. The dashboard adapts to cognitive capacity: if the cognitive concierge detects declining decision-making ability, consent reviews become simpler. The complexity is behind the glass. The control is in her hands.
The full article is available at BlueMirror.tech.