Post by TรV AI.Lab
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๐๐งฉ ๐ง๐๐-๐๐ฒ๐ฎ๐น๐๐ต ๐๐ฒ๐ฒ๐ฝ ๐๐ถ๐๐ฒ ๐ก๐ผ.๐ฎ: ๐ ๐ผ๐๐ถ๐ป๐ด ๐ง๐ผ๐๐ฎ๐ฟ๐ฑ๐ ๐ ๐ผ๐ฟ๐ฒ ๐๐ด๐ถ๐น๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ โ ๐๐ผ๐ด๐ฒ๐๐ต๐ฒ๐ฟ ๐๐ถ๐๐ต ๐๐ต๐ฒ ๐๐ฒ๐ฎ๐น๐๐ต๐ง๐ฒ๐ฐ๐ต ๐ ๐ฒ๐ฑ๐ถ๐บ๐ถ๐ฟ How does agile certification work in practice? Within the TEF-Health Work Package Certification, managed by the TรV AI.Lab, the developed Agile Certification Process (ACP) prototype was piloted through a concrete use case with Medimir Systems GmbH. The use case focused on a significant planned change: The HealthTech Medimir had planned to build an AI content factory to automate the production of their Clinical Decision Support tools. The collaborative pilot of the ACP supported building the pipeline โcompliant by designโ, focusing on the MDR and the upcoming AI Act (according to current status). The focus was on making the intended change manageable from a regulatory perspective: ๐ A structured gap analysis identified where the existing MDR-compliant QMS needed adaptation to meet AI Act requirements. ๐ค Early and structured dialogue with the notified body is enabled through a Pre-Notification Template developed within the Agile Certification Process. ๐ The template supports transparent communication of the intended change, its rationale, and its impact on safety, performance and benefitโrisk balance. The results: โ Earlier regulatory engagement reduced uncertainty and avoided late-stage rework. ๐ Medimir was able to continue developing AI functionality while staying aligned with MDR and AI Act expectations. ๐ช๐บ The approach strengthened confidence to pursue development within the EU market. ๐ฏ This use case shows that key levers of agile certification can already be implemented within the existing regulatory framework when supported by structured processes and practical tools. Thank you to Dr. Philipp Boerm and Fidelio Noah Bรถrm for providing this use case! โก๏ธ Stay tuned for our TEF-Health Deep Dive No.3: How regulatory uncertainty is driving the need for more agile regulatory approaches in medical AI. #TรVAILab #TrustworthyAI #TEFHealth #AgileCertification #HealthAI #MedicalDevices #MDR #AIAct