The Perfect Match: Using AI to Pair Patients with the Ideal Provider

Patients are often assigned to the first available therapist, regardless of specialized needs or personality fit. This leads to higher dropout rates, frustrated providers, and patients who feel "unheard" after the first session.

Voice AI changes this dynamic. When a patient calls into a Selcor-enabled practice, the AI doesn't just check a calendar. It listens.

Through privacy-first analysis of the intake conversation, our system can identify key markers: communication style, primary stressors, and specific modality preferences (e.g., direct solution-focused vs. open-ended exploration).

Using this data, the AI can suggest the provider within your group who is best suited for that specific patient. "Based on this intake, Dr. Chen's expertise in anxiety and CBT would be a better fit than Dr. Smith's focus on trauma."

This pre-matching increases the likelihood of a strong therapeutic alliance forming immediately, leading to better retention and, most importantly, better patient health.

By reducing early dropouts, you not only stabilize your practice's revenue but you effectively treat more patients. It's a technology intervention that feels deeply human.