The Impact of the AI-Act on the Implementation of Conversational Agents in Healthcare Processes

Björn-Lennart Eger (), Daniel Rose () and Barbara Dinter ()
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Björn-Lennart Eger: Chemnitz University of Technology, Chair of Business Information Systems—Business Process and Information Management
Daniel Rose: Chemnitz University of Technology, Chair of Business Information Systems—Business Process and Information Management
Barbara Dinter: Chemnitz University of Technology, Chair of Business Information Systems—Business Process and Information Management

A chapter in Shaping the Digital Future Through Innovation and Practice, 2026, pp 365-371 from Springer

Abstract: Abstract In view of the growing significance of artificial intelligence (AI) in healthcare, compliance with the European Union’s AI-Act (AI-Act) is crucial for ensuring patient safety, data security and legal conformity. This research-in-progress paper examines the impact of the AI-Act on the design of healthcare processes that are supported conversational agents. It highlights the challenges arising from the new regulatory requirements of the AI-Act and discusses preliminary approaches for integrating these provisions into healthcare processes. The focus is on analyzing the regulatory effects on the automation of healthcare processes. Our first findings provide a basis for further research and the eventual implementation of the AI-Act’s requirements. The paper underlines the need for clear risk classifications and precise definitions of AI systems, as well as their potential effects on efficiency and patient safety in healthcare.

Keywords: AI-Act; Conversational agents; Healthcare; AI regulation; Risk classification; Process automation (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-08489-7_25

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