Medical AI is not a static product; its performance may experience "Data Drift" over time, potentially caused by imaging equipment upgrades, changes in clinical pathways, or shifts in patient demographics. Therefore, AI must undergo "regular check-ups." The Ministry of Health and Welfare emphasizes that responsible governance must cover the full life cycle, with the core mechanism being the implementation of temporal drift monitoring plans.
Core Mandate of the Platform
In response, the National Clinical AI Application Registration Platform establishes an innovative registration and post-market surveillance mechanism, implementing a closed-loop, dynamic lifecycle management framework. As a national-scale digital trust infrastructure, the platform integrates an advanced automated testing engine to seamlessly bridge regulatory compliance with real-world clinical deployment, robustly safeguarding patient safety nationwide.
The Three Governance Pillars
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Proactive Temporal Monitoring：Continuously track the post-market performance of medical AI to effectively mitigate risks associated with data drift and algorithmic degradation.
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Automated Verification & Alert System：Deploy built-in automated testing mechanisms that immediately trigger re-verification and model retraining alerts upon detecting performance anomalies.
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Full Lifecycle Compliance：Transform conventional static auditing into a dynamic, lifecycle-wide regulatory framework spanning from product clearance to continuous clinical integration.
International Alignment & Digital Trust
Aligning with the latest global regulatory paradigms, the platform's core architecture automatically deconstructs FDA/TFDA clearance sheets into structured algorithm transparency characteristics compliant with the US HTI-1 standard. By driving forward-looking Regulatory Technology (RegTech), the platform ensures that Taiwan’s clinical AI applications maintain long-term excellence and unparalleled digital trust on the global stage.
