AI-Assisted Triage: Accelerating Post-Market Surveillance While Eliminating Reporting Blind Spots

By Binitkumar M. Vaghani

Complaint volumes have outgrown manual triage, and medical device companies are turning to AI to keep up. The speed gains are real, but used carelessly the same tools can bury a reportable event at the bottom of a queue while the MDR clock runs. This piece maps where AI genuinely helps in post-market surveillance, where human judgment has to stay, and what validation, monitoring, and audit trails a defensible program needs. It is grounded in the current regulatory frame, including the QMSR and FDA’s new inspection program (CP 7382.850) that took effect February 2, 2026, 21 CFR Part 803 reporting timelines, and ISO 13485 software validation expectations. It includes a practical table drawing the line between tasks that are safe to automate and decisions that must stay human-owned. The intended audience is quality, regulatory, and post-market surveillance professionals in the medical device industry.

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AI in the EHR
AI in the EHR

Applying Agentic AI to Healthcare Delivery: The Key to True Transformation

By Jaimon Jose

MTI Viewpoints Insights shared by industry relative to healthcare and the advancement of medical technology. Jaimon Jose, senior director of engineering and compliance at CharmHealth, is a software architect and technical leader with more than 18 years of product development experience in the areas of identity and security technologies, distributed systems, cloud security, and data…

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AI Compliance in Medical Devices
AI Compliance in Medical Devices

Is Your Organization Ready to Govern AI in Regulatory Affairs?

By Anthony Watson, Geethapriya (Priya) Setty, Jay Vaishnav, PhD

By the time most medtech organizations noticed their teams were using AI in regulatory work, the governance conversation was already running behind.. How can your organization move forward? An Operational AI Capability Maturity Model — a five-domain framework built specifically for regulatory affairs and offers a direct way to assess where your organization actually stands. If your team cannot consistently answer who approved the tool, how the output was verified, and what was retained, this framework is a practical place to start.

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