Clinical Evaluation in Practice – More Than Just a Clinical Evaluation Report

Hardly any regulatory requirement of the MDR is underestimated as often as clinical evaluation. It is one of the key obligations for nearly all medical devices, yet in practice it is often reduced to the preparation of a single document: the Clinical Evaluation Report (CER). However, anyone who treats the clinical evaluation as a mere documentation task runs the risk of failing to meet the regulation’s actual requirements. In fact, it is a continuous process that spans the entire product life cycle. It is closely intertwined with risk management, post-market surveillance (PMS), post-market clinical follow-up (PMCF), and technical documentation. The CER is merely the visible tip of the iceberg—a written snapshot of a process that continues uninterrupted.

Clinical Evaluation in Practice – More Than Just a Clinical Evaluation Report2026-08-21T08:52:50+02:00

The End of Article 82 of the MDR? Why AI and Software Are Now Taking Center Stage

The planned deletion of Article 82 of the MDR could have far-reaching consequences for software and AI in drug trials. The more digital systems evaluate clinical endpoints or generate evidence, the more important the question becomes: is it an investigational device or an investigational product? It is precisely this distinction that could become the central regulatory challenge in the future.

The End of Article 82 of the MDR? Why AI and Software Are Now Taking Center Stage2026-08-21T08:54:13+02:00

MDR and Medical Devices with Indirect Clinical Benefits: Why a More Nuanced Assessment of Evidence Is Needed

The question of how to demonstrate the clinical benefit of a medical device may initially sound like a purely methodological issue. In fact, it determines which products remain available in Europe, how long approval procedures take, and how much effort manufacturers must invest in clinical evaluation. In the context of the ongoing MDR revision, this discussion is becoming significantly more intense, as not every product can be meaningfully evaluated using the same standards. It is particularly challenging to evaluate products whose contribution to treatment success cannot be directly reflected in patient-centered clinical endpoints. These include surgical instruments, endoscopes, catheters, operating tables, and numerous other products that enable or support diagnostic or therapeutic procedures in the first place. For these products, an understanding of the evidence is needed that does justice to their actual mechanism of action.

MDR and Medical Devices with Indirect Clinical Benefits: Why a More Nuanced Assessment of Evidence Is Needed2026-08-21T08:55:36+02:00

The right to treatment with artificial intelligence and access to smart medical devices – potential challenges

The rapid advances in artificial intelligence and the entry into force of the DigiG are promoting the integration of intelligent medical devices into healthcare by making diagnostics, therapy and assistance systems more efficient and at the same time improving access and reimbursement of digital applications.

The right to treatment with artificial intelligence and access to smart medical devices – potential challenges2026-04-17T14:08:18+02:00

Digital health applications (DiGA): Data protection as the foundation for trust and progress in healthcare

Digital health applications (DiGA) are changing medical care in the long term, but are subject to strict data protection requirements as they process particularly sensitive health data; in the fast-track procedure of the Federal Institute for Drugs and Medical Devices, compliance with the GDPR and DiGAV is therefore checked in addition to functionality in order to ensure security and trust in digital solutions.

Digital health applications (DiGA): Data protection as the foundation for trust and progress in healthcare2026-04-17T09:38:22+02:00

Cyber Resilience Act, medical devices and the AI Act – An integrated perspective on cybersecurity and AI in the healthcare industry

With the Cyber Resilience Act (CRA) and the upcoming AI Act, the EU is setting new requirements for IT security and the use of artificial intelligence (AI). These regulations play a central role, particularly in the area of digital healthcare products, which include connected medical devices. The new regulations set standards that require an integrated safety strategy in order to make innovations such as AI in medicine safe and compliant.

Cyber Resilience Act, medical devices and the AI Act – An integrated perspective on cybersecurity and AI in the healthcare industry2026-04-17T09:35:31+02:00

When is a product a medical device? Two court cases bring (some) clarity

Two current German proceedings highlight key MDR interpretation issues: intended purpose of products, risk classification of software and consequences for manufacturers.

When is a product a medical device? Two court cases bring (some) clarity2026-04-17T09:27:13+02:00

Artificial intelligence and cybersecurity in the light of MDR

The European legal framework, including the Medical Device Regulation ("MDR") and the soon to come into force AI Regulation ("AI Regulation"), places strict requirements on the safety and performance of AI-based medical devices. The relationship between the Medical Device Regulation and the AI Regulation is characterized by supplementary certification requirements: While the MDR regulates the safety and performance of physical medical devices, the AI Regulation addresses specific risks and the data integrity of AI systems. Products that fall under both sets of regulations must meet the requirements of both regulations in order to be certified, which provides a double safety guarantee for both physical and software-related safety.

Artificial intelligence and cybersecurity in the light of MDR2026-04-10T14:27:53+02:00

OLG Hamburg on the risk classification of medical device software

With the introduction of the MDR (Regulation (EU) 2017/745) and Rule 11 in particular, the requirements for the risk classification of medical software have been significantly tightened, as software that provides information for diagnostic or therapeutic decisions is generally assigned to at least Class IIa; the Higher Regional Court of Hamburg confirmed in its decision of 22.09.2023 that the provision of such information alone is sufficient for a higher classification - regardless of whether the software itself makes a diagnosis - and emphasized the priority of health protection, even if this broad interpretation is sometimes viewed critically by experts.

OLG Hamburg on the risk classification of medical device software2026-04-15T11:51:10+02:00
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