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Reflections on co-creating a model for the value assessment of artificial intelligence technologies.
Anne Wettergren Karlsson1,2, Astrid Janssens2,3,4, Astrid Barkler5
1Department of Public Health, University of Southern Denmark, Odense, Denmark.
Scandinavian Journal of Public Health
|August 24, 2024
Summary
Patient involvement in complex healthcare AI research is feasible and beneficial. Co-creating research with patients ensures relevance and offers new perspectives, highlighting the value of patient-centered artificial intelligence (AI) development.
Area of Science:
- Healthcare Innovation
- Artificial Intelligence in Medicine
- Patient Engagement
Background:
- Developing artificial intelligence (AI) in healthcare requires an evidence-based, patient-centered approach.
- The Model for ASsessing the value of Artificial Intelligence (MAS-AI) was created by experts and patients.
- Introducing complex AI technologies necessitates robust evaluation frameworks.
Purpose of the Study:
- To share experiences of patient co-creation in a complex, data-intense research project.
- To demonstrate the feasibility of involving patients in technically advanced healthcare research.
- To highlight the benefits of patient-centered approaches in AI development.
Main Methods:
- Co-creation of a research project involving patients and multidisciplinary experts.
- Evaluation through initial reflections, a continuous logbook, and semi-structured interviews.
- Pre- and post-project interviews with patients and researchers.
Main Results:
- Initial doubts about patient inclusion were overcome.
- Co-creation enhanced research relevance, holistic approach, and ethical debate.
- A multidisciplinary team and mutual reflection were crucial for collaboration and insights.
Conclusions:
- Complex, data-intense research projects can be successfully co-created with patients.
- Patient involvement enriches research by providing new perspectives to researchers.
- Continuous mutual reflection is vital for maximizing learning for all stakeholders.
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