Have you ever sent a quick note to your doctor through a patient portal and wondered about the voice on the other side? As healthcare digital infrastructure expands, the overwhelming volume of incoming messages is driving massive clinician burnout. In response, health systems are rapidly turning to generative artificial intelligence (AI) to draft replies. But how do we, as patients, actually feel about a machine helping write our healthcare updates? A recent qualitative study published in JAMA Network Open pulls back the curtain to reveal exactly where patients draw the line between digital convenience and human care.
The study, conducted between April and August 2025, gathered detailed insights from 40 adult patients within a large academic health system. Rather than treating online messages as an extension of the intimate patient-doctor relationship, the participants largely framed portal communication as fundamentally transactional. They aren’t looking for deep emotional connection when requesting a prescription refill or asking an administrative question; they want quick, accurate, and actionable answers. Interestingly, even individuals who expressed broader anxieties about AI in medical decision-making felt comfortable with AI-generated drafts in their inbox, precisely because online messaging already feels distinct from face-to-face clinical encounters.
However, this patient comfort comes with a non-negotiable safeguard: absolute human oversight. Patients are highly supportive of AI tools reducing the administrative burden on busy doctors, but only if a licensed clinician reviews, edits, and takes final responsibility for every single message sent. In the patient’s eyes, the technology must function strictly as a supportive assistant, never as a standalone replacement for clinical accountability.
The study also highlighted that a one-size-fits-all AI template simply does not work. Patient preferences for tone and empathy shift dramatically depending on the medical stakes. For routine tasks like refilling a standard medication, long-winded, overly polite “customer-service” scripts can actually feel irritating and inauthentic. Conversely, when the communication involves high-stakes situations—such as interpreting ambiguous or potentially concerning laboratory results, patients appreciate detailed, reassuring, and thoroughly supportive language. Remarkably, patients do not equate empathy with human-only authorship; rather, they define empathy as responsiveness and situational appropriateness. An AI-drafted message can convey profound care, provided it is embedded within a verified framework of clinician oversight.
Finally, the study underscored an overwhelming consensus regarding transparency. Patients want clear, plain-language disclosure stating that AI was utilized during the drafting process and that a human clinician finalized the response. Crucially, participants rejected vague corporate jargon or “marketing” phrases that try to spin the technology as a benefit to the “care experience”. Instead, honest, direct disclosure was cited as a core pillar for maintaining long-term trust in healthcare institutions.
Integrating artificial intelligence into healthcare portals marks a significant step forward in managing administrative strain, but success ultimately hinges on the human touch. As health systems move toward widespread implementation, guidelines must prioritize context-sensitive communication and strict clinician review over pure automation. Patients are clearly willing to embrace the efficiency of generative AI if it means getting answers faster. However, the technology must remain an invisible engine that empowers doctors, rather than a barrier that replaces them. Ultimately, keeping healthcare human means ensuring that technology serves the clinical relationship, grounded firmly in transparency and accountability.
