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Beyond the Algorithm: Citizens Professionals Dialogue on the Use of Generative AI in Healthcare
Isabelle Bos1, Marloes Meijer1, Sarah van Lierde1
1Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
This study facilitates dialogue on generative artificial intelligence (GAI) in healthcare, exploring citizen and professional views on its responsible use, benefits, and risks to ensure technology serves human well-being.
Area of Science:
- Healthcare innovation
- Artificial Intelligence Ethics
- Societal Impact of Technology
Background:
- Generative artificial intelligence (GAI) presents opportunities to enhance healthcare efficiency and quality.
- Adoption of GAI raises significant ethical and societal concerns, including transparency, equity, accountability, data privacy, and professional-patient relationships.
- Addressing these concerns requires open dialogue between healthcare professionals, citizens, and patients.
Purpose of the Study:
- To facilitate a dialogue between Dutch citizens and healthcare professionals regarding the desirability and responsible implementation of GAI in healthcare.
- To explore perceptions of benefits, risks, and necessary conditions for GAI adoption from both citizen and professional perspectives.
- To capture a nuanced understanding of diverse opinions and underlying reasoning on GAI's role in healthcare.
Main Methods:
- A structured qualitative dialogue session involving approximately 20 participants (10 citizens, 10 healthcare professionals).
- A four-hour program combining expert presentations on GAI, ethical/legal implications, and healthcare applications with small-group and individual reflection exercises.
- Expert input from the Dutch Ministry of Health, GAI developers, and researchers.
Main Results:
- Identification of key themes concerning the benefits, risks, and ethical boundaries of GAI in healthcare.
- Insights into areas of agreement and disagreement between citizens and healthcare professionals regarding GAI.
- Development of practical recommendations for policymakers to guide the responsible adoption of GAI.
Conclusions:
- Fostering open dialogue on GAI is crucial for strengthening trust and accountability in healthcare's digital transformation.
- Understanding public and professional perspectives is essential to ensure GAI development prioritizes human well-being over mere technological advancement.
- Enhanced public and professional awareness of AI's societal implications is a key outcome for responsible innovation.
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