AsyncHealth—AI Assistants for Mental Health Clinicians » Mental Health Patients Embrace AI Video Intake Interviews

Peter Yellowlees MD

There are no published studies describing mental health patient experiences with AI video interviewers so when a California Medi-Cal clinic introduced AsyncHealth’s AI video intake agents for mental health assessments, it was rewarding to see that patient responses were positive. In a four-month evaluation (August–November 2025) involving 80 patients — many living with serious mental illnesses such as schizophrenia, bipolar disorder, or addiction — the clinic saw high engagement, strong satisfaction ratings, and positive feedback on the AI interviews. This early experience suggests that AI-driven intake interviews can streamline clinic workflows without compromising patient comfort or trust.

High Engagement and Completion Rates:

From the start, patients readily engaged with the AI interviewer. 55 out of 80 participants fully completed the AI-guided video intake with an average recording time for their answers of about 14 minutes per patient.

Solid Satisfaction Scores:

On the feedback surveys, patients rated aspects of their AI intake experience on a 0–10 scale. The results were encouragingly positive across the board:

· Ease of scheduling the session: 7.4/10

· AI interviewer’s communication clarity: 7.5/10

· Quality of the assessment questions: 7.4/10

· Likelihood of recommending this process to others: 6.9/10

These averages in the mid-7 range indicate that patients generally found the AI intake convenient, understandable, and clinically helpful.

Overwhelmingly Positive Feedback & Patient Quotes:

Perhaps most striking were the written comments patients shared. Out of 33 patients who left comments, 29 were positive or neutral in sentiment. Many participants highlighted the comfort, privacy, and non-judgmental atmosphere of speaking to the AI agent.

“I did not feel judged when I was talking about my experience and feelings and was able to talk about it privately in a space that I was comfortable in,” one patient explained, underscoring how the virtual format made it easier to open up. Others praised the ease and simplicity of the process, with comments like “It was easy and convenient,” and “Would gladly do [it] again.” A number of people appreciated being in control of their interview pace — one noted, “The questions were easy to answer, and I liked how I could rewatch the video before submitting it.” Several said they would recommend the AI intake to family and friends. The few negative remarks mostly came from those who simply preferred talking to a human, a reminder that personal preferences vary. However it’s clear that most patients found the AI video intake beneficial and approachable once they tried it.

Encouraging Results for Clinics:

Overall, this pilot demonstrates that AsyncHealth’s AI video agents can effectively conduct mental health intake interviews with excellent patient acceptance. High completion rates, strong satisfaction metrics, and glowing testimonials all point to a tool that patients not only tolerate but often appreciate. For mental health professionals and clinic administrators, these findings offer reassurance that adopting AI-driven intake technology can enhance efficiency without alienating patients. Given the success of this initial implementation, other clinics can confidently consider integrating AsyncHealth’s AI intake agents into their practice. As one participant succinctly put it, “Nicely done.”

This kind of positive patient experience suggests that AI video intake could become a valuable, human-friendly innovation in mental health care, helping clinics expand capacity while keeping patient comfort front and center.

For more information please contact: Peter Yellowlees MD.

CEO AsyncHealth.

founders@asynchealth.com