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Informed Consent for Ambient Documentation Using Generative AI in Ambulatory Care.

Katharine Lawrence^1,2, Vasudev S Kuram², Defne L Levine¹

¹Department of Population Health, New York University Grossman School of Medicine, New York.

JAMA Network Open

|July 22, 2025

Summary

Informed consent for AI-assisted ambient documentation varies. A flexible, multimodal approach with education and clear opt-out options can improve patient comfort and acceptance of these tools.

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Area of Science:

Medical Informatics
Health Services Research
Human-Computer Interaction

Background:

Artificial intelligence (AI)-assisted ambient documentation tools are increasingly used in healthcare to reduce administrative burdens.
Optimal patient engagement and informed consent processes for these technologies remain underexplored.

Purpose of the Study:

To investigate clinician and patient experiences with informed consent for ambient documentation tools.
To examine the impact of ambient documentation on the patient-clinician relationship.

Main Methods:

A qualitative evaluation using site visits, observations, interviews, and surveys was conducted.
121 pilot users (18 clinicians, 103 patients) participated in ambulatory practices.

Main Results:

Verbal consent was the primary method, with patient comfort varying.
Patient comfort and consent intent were linked to trust, detailed discussions, and understanding of tool use.
Providing technical details decreased consent rates, while perceived benefits included reduced burden and improved communication.

Conclusions:

Informed consent for AI ambient documentation relies heavily on verbal communication, influenced by time and relationship dynamics.
A flexible, multimodal consent model incorporating education, digital resources, and opt-out options may enhance acceptance and trust.