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