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September 10, 2025Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Current Applications, Research Gaps, and Future Perspectives in Design of Resilient Patient-Facing Generative AI Applications: A Rapid Review

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Authors

OSOlga StrachnaOAOnur Asan

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Implication

Rapid review summarizes risks and strategies for patient-facing generative AI in healthcare, highlighting evaluation gaps.

Key Points

  • Misinformation and privacy concerns remain major issues in generative AI applications, complicating patient care.
  • A total of 25 full-text studies were reviewed, highlighting risks such as hallucinations and the need for trust.
  • The review employed adapted PRISMA 2020 guidelines for a rapid synthesis of generative AI solutions in patient care.
  • Involving patients in the design process is essential for safe and effective generative AI tool usage in healthcare.

Cite This Study

Strachna et al. (2025) studied this question.

synapsesocial.com/papers/68c23b4ab210217d64783e63https://doi.org/10.1177/10711813251370743
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