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📋 Post-Market AI Device Surveillance Simulator

This simulation provides users with insights into post-market surveillance of AI medical devices, focusing on monitoring their effectiveness and safety over time to ensure ongoing compliance and patient safety.

AI/ML SaMD Regulatory Pathway2DModerate60 FPS
post-market-ai-device-surveillance-simulator ↗ Open standalone

Device Cleared and Deployed to the Market

Placeholder lead: clearance is a starting gate, not the finish line.

  • 510(k) / De Novo: Clearance pathway (placeholder sub-caption)
  • Rolling rollout: Sites at launch (placeholder sub-caption)
  • Pre-market only: Baseline dataset (placeholder sub-caption)
  • Day 0: Surveillance start (placeholder sub-caption)

Placeholder section heading

Placeholder body text, short filler describing market entry and surveillance obligations kicking in immediately.

Real-World Usage Data Begins Accumulating

Placeholder lead: every use generates a new data point to watch.

  • 3 types: Data streams (placeholder sub-caption)
  • Continuous: Performance logs (placeholder sub-caption)
  • Voluntary reports: User feedback (placeholder sub-caption)
  • Mandatory reports: Adverse events (placeholder sub-caption)

Placeholder section heading

Placeholder body text, short filler describing performance metrics, feedback, and event reports arriving.

Surveillance System Aggregates and Analyzes the Stream

Placeholder lead: raw reports become a running statistical picture.

  • Continuous: Aggregation cadence (placeholder sub-caption)
  • Pre-market rate: Baseline comparator (placeholder sub-caption)
  • Rate + trend: Analysis method (placeholder sub-caption)
  • Periodic + triggered: Review cadence (placeholder sub-caption)

Placeholder section heading

Placeholder body text, short filler describing continuous aggregation and trend analysis.

A Concerning Pattern Emerges in the Data

Placeholder lead: a threshold crossing turns monitoring into a signal.

  • Rate / cluster: Signal type (placeholder sub-caption)
  • Threshold crossing: Detection trigger (placeholder sub-caption)
  • Subgroup-specific: Use-case scope (placeholder sub-caption)
  • Severity triage: Next step (placeholder sub-caption)

Placeholder section heading

Placeholder body text, short filler describing signal emergence and triage.

Escalation Pathway Triggered by Severity

Placeholder lead: outcome scales with how serious the signal is.

  • Labeling update: Minor outcome (placeholder sub-caption)
  • Corrective action: Moderate outcome (placeholder sub-caption)
  • Field safety notice: Severe outcome (placeholder sub-caption)
  • Recall: Worst case (placeholder sub-caption)

Placeholder section heading

Placeholder body text, short filler describing the branching escalation ladder.

Placeholder highlight: escalation severity is proportional to real-world risk evidence.
⚙ Under the hood

This simulation provides users with insights into post-market surveillance of AI medical devices, focusing on monitoring their effectiveness and safety over time to ensure ongoing compliance and patient safety.

CanvasBiomedicine

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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