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Predetermined Change Control Plans: Managing AI/ML Evolution in Medical Devices
Manage episode 451608794 series 3617575
Konten disediakan oleh Nirdosh Jagota. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Nirdosh Jagota atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota explores the innovative concept of Predetermined Change Control Plans (PCCPs) for AI and machine learning-enabled medical devices. PCCPs offer a regulatory solution to the challenge of managing evolving AI systems that learn and adapt over time.
Dr. Jagota explains how PCCPs act as a roadmap for AI device modifications, allowing manufacturers to specify anticipated changes, how they’ll be implemented, and how safety and effectiveness will be maintained. He uses a real-world example of an AI diagnostic system to illustrate how this framework ensures controlled evolution while keeping patient safety at the forefront.
The episode also highlights key components of a PCCP: modification description, protocol for implementation, and impact assessment. Dr. Jagota emphasizes the importance of data quality, performance monitoring, and transparency in successful implementation.
Join Dr. Jagota as he examines how PCCPs are shaping the future of AI regulation in medical devices, enabling innovation while ensuring patient safety.
Visit Nirdosh Jagota Official Website for more resources and insights.
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