IEEE P2802/D2, Apr 2022

IEEE P2802/D2, Apr 2022 is an IEEE approved draft standard focused on the performance and safety evaluation of artificial intelligence based medical device terminology. It provides a shared technical vocabulary for teams working across bioengineering, computing, communication, and device system disciplines, helping reduce ambiguity in design reviews, testing, and documentation. By defining terms consistently, IEEE P2802/D2, Apr 2022 supports clearer communication around safety-related evaluation and performance discussions for AI-enabled medical devices.

Overview of IEEE P2802/D2, Apr 2022

This draft standard addresses terminology used when discussing the performance and safety evaluation of artificial intelligence based medical devices. It is relevant where medical technology combines algorithms, electronic systems, and software-driven decision-making. IEEE P2802/D2, Apr 2022 helps align engineers, clinical technology specialists, and compliance teams on the meaning of key terms so that evaluation methods, test reports, and design records can be interpreted consistently. As a draft document, it is especially useful during development and review activities.

Typical use cases

IEEE P2802/D2, Apr 2022 is typically used in the development and assessment of AI-enabled medical devices, including systems that depend on data processing, connected components, and embedded electronics. It may support terminology for verification work, safety analysis, and performance reporting in device programs that span software, hardware, and clinical engineering. The standard is also useful for procurement and technical documentation when organizations need a common language for reviewing AI-based medical device behavior, limitations, and evaluation methods.

Why it matters

Clear terminology is important in a field where small wording differences can affect safety claims, test scope, and compliance decisions. IEEE P2802/D2, Apr 2022 helps reduce misunderstanding between design teams, evaluators, and reviewers by making the language of performance and safety evaluation more consistent. That consistency can improve documentation quality, support better risk management, and make it easier to compare results across projects or suppliers. For AI-based medical devices, a reliable shared vocabulary is a practical part of responsible engineering.

• Terminology for AI-based medical device evaluation
• Performance and safety language alignment
• Useful for design, testing, and documentation
• Relevant to software, hardware, and system reviews