What Patients Want From AI-Drafted Portal Messages—Empathy in the In-Basket
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By
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Teva Brender
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Elizabeth Dzeng
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July 7, 2026
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0 min
Patient Expectations for AI-Generated Portal Communications: The Importance of Empathy in Messaging
Overview
The study highlights the nuanced views patients have regarding effective and empathic communication in healthcare.
Background
The integration of AI in healthcare communications has raised important questions about empathy and patient connection. Understanding patient perspectives on these technologies is crucial for effective implementation. This study provides insights into how patients perceive AI-generated messages.
Data Highlights
No numerical data provided in the source material.
Key Findings
- Patients rated AI-generated messages as higher quality and more empathetic than those drafted by humans, though satisfaction declined when AI authorship was disclosed.
- Patients viewed portals as transactional and did not expect deeply personal messages for routine tasks.
- In lower-stakes situations, concise AI responses were preferred, while higher-stakes communications elicited mixed preferences for human versus AI authorship.
- Disclosure of AI use and clinician oversight were deemed essential by patients for comfort with AI-generated messages.
Clinical Implications
Clinicians should consider the role of AI in managing routine communications to improve efficiency while ensuring patient comfort through transparency. Understanding patient preferences can guide the effective integration of AI in healthcare settings.
Conclusion
The study underscores the importance of empathy in AI-generated communications, highlighting the need for transparency and clinician oversight to align with patient expectations.
Related Resources & Content
- Owens et al, JAMA Network Open, 2023 -- Patient Perspectives on AI-Drafted Electronic Portal Messages
- DIGITAL HEALTH — Effect of nonverbal behaviors and speech characteristics of online medical ECAs on patients’ satisfaction: The mediating roles of empathy and trust
- DIGITAL HEALTH — Implementing artificial intelligence (AI)-supported communication tools in healthcare: System-level perspectives
- conexiant — AI Didn’t Beat Doctors at Empathy. Medicine Moved Doctors Away From It.
- inside dentistry — Maintaining Trust in AI-Assisted Dental Communications
- Health Data, Technology, and Interoperability: ONC Deregulatory Actions to Unleash Prosperity (HTI-5) Proposed Rule
- With AI increasingly part of care, transparency and quality are musts | American Medical Association
- Joint Commission and Coalition for Health AI (CHAI) Release Initial Guidance to Support Responsible AI Adoption Across U.S. Health Systems
- Review of Generative Artificial Intelligence Chat Tools for Clinical Use
- Patient Perspectives on AI-Drafted Electronic Portal Messages | Electronic Health Records | JAMA Network Open | JAMA Network
- What Patients Want From AI-Drafted Portal Messages—Empathy in the In-Basket | Electronic Health Records | JAMA Network Open | JAMA Network
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions | npj Health Systems
- AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care - PMC
- An LLM chatbot to facilitate primary-to-specialist care transitions: a randomized controlled trial | Nature Medicine
- Nation’s Leading Health Systems and Industry Experts Launch AI Care Standard™ to Guide Safety in Patient Communications - AI Care Standard™
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.