AI-Based Dialogue Systems for Informed Consent in Radiology: Professional Perspectives from the KIPA Study
Patricia Gleim1,2, Carolin Heizmann1,2, Mascha Goldschmitt3
1Human-Technology Interaction Lab, University of Freiburg - Medical Center, Freiburg im Breisgau, Germany.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
The KIPA project uses AI and digital forms to improve radiology informed consent. While promising for patient understanding and efficiency, it complements rather than replaces essential human interaction in the consent process.
Area of Science:
- Radiology
- Medical Informatics
- Patient Communication
Background:
- Informed consent in radiology is challenged by time constraints and limited patient preparation.
- Current methods may not fully support patient understanding or streamline clinical workflows.
Purpose of the Study:
- To explore healthcare professionals' perceptions of integrating the KIPA system into clinical workflows.
- To assess the potential of an AI-based dialogue system for enhancing informed consent in radiology.
Main Methods:
- Qualitative content analysis of semi-structured interviews and usability testing.
- Study involved twelve healthcare professionals from German university hospitals.
Main Results:
- Participants showed cautious optimism regarding the KIPA system.
- Potential benefits include improved patient understanding, standardization, and workflow efficiency.
- Concerns remain about maintaining the relational aspect of informed consent.
Conclusions:
- The KIPA system shows promise as a supportive tool for informed consent in radiology.
- It can enhance patient understanding and empowerment without replacing essential personal communication.
- Further integration requires careful consideration of workflow and human interaction dynamics.
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