Webinar | 20 January 2027 | 09:00–09:45 CET
Hosted by GBA Key2Compliance and Johner Institute, both part of GBA MedTech Solutions, in collaboration with Swedish Medtech.
The problem: A language model only knows what you show it. Without context, it provides answers that sound plausible but are generic or incorrect.
In this webinar, you’ll learn how to set up an AI workspace comprising projects, a prompt library, and context documents without any IT knowledge. This will enable you to use language models (LLMs) strategically and improve the quality of your results.
Good prompt engineering is only half the battle. The key is to provide the model with exactly the knowledge it needs for a given task – an approach known as context engineering.
The webinar is aimed at knowledge workers, particularly those in regulatory affairs, quality management, and development, who want to effectively integrate AI into their daily work.
Mario Klessascheck from Johner Institute will demonstrate his own AI work environment and share what has proven effective in practice – and what hasn’t.
Meet the presenters
Mario Klessascheck | Johner Institute
Mario has over 25 years of experience in medical device development, including 15 years as a consultant. He supports manufacturers of active medical devices in developing standards-compliant safety concepts and is a co-author of the 4th edition of IEC 60601-1.
Shortly after the release of ChatGPT, he developed ChatIEC, one of the first AI applications for IEC 60601-1. Today, he uses AI in his daily work, including for safety concepts and insulation diagrams, and trains specialists in the effective use of LLMs.
Oscar He Lindholm | GBA Key2Compliance
Oscar is Client & Business Development Partner at GBA Key2Compliance and a certified auditor with extensive experience in medical device and health software compliance. He will introduce Key2Compliance and moderate the webinar.
Practical information
Date: 20 January 2027
Time: 09:00–09:45 CET
Format: Online webinar
Language: English
Participation: Free of charge
Register now to learn how to move beyond prompt engineering and make LLMs more effective in your regulatory work.