How do patients prefer to communicate with healthcare providers in 2026?
Texting has overtaken every other channel for routine patient communication. 91% of patients say they want to receive text messages from healthcare providers (Notifyre, 2025). 75% say they'd rather text a business than call it (SMS Comparison) — and that preference is even stronger for the kinds of low-stakes interactions that dominate medical office communication: scheduling, confirmations, quick questions about what to bring.
The phone call isn't going away for complex or sensitive conversations. But for "is Dr. Kim available next Tuesday at 10?" — a text is faster, easier, and more convenient for everyone.
What happens to healthcare leads after hours?
They do one of two things: leave a voicemail that gets processed whenever the front desk gets to it, or find a different provider.
Research shows 85% of callers who don't reach anyone never try again (Local Splash, 2024). In healthcare, this is compounded by the fact that new patient acquisition requires effort — looking up providers, checking insurance networks, building trust. A patient who did all that work and couldn't get through is unlikely to repeat the effort. They move on to the next provider in their insurance network.
A new patient relationship lost before it started is a significant long-term revenue loss — most practice managers estimate the lifetime value of a retained patient in the thousands of dollars.
See how healthcare practices are capturing after-hours patient inquiries. Try our demo →
Can AI handle patient inquiries without creating compliance problems?
Polu.ai is designed for the initial intake and scheduling layer — the part that doesn't involve clinical information. Booking an appointment, confirming hours, answering "do you take Delta Dental?" — none of that involves protected health information and can be handled by AI without compliance concerns.
For anything that edges toward clinical details or medical records, the AI is designed to escalate to a human rather than attempt an answer. The conversation is captured, the patient feels heard, and the right person follows up.
The result is a practice that never loses a patient to an unanswered call — without creating new risk for the provider.
How does AI texting reduce no-shows for dental and medical practices?
Appointment reminders sent by text have dramatically higher engagement than phone reminders. Patients who receive a text reminder 24–48 hours before their appointment are significantly more likely to show up — or to cancel in time for the slot to be filled.
Polu.ai can send automated reminders and handle the responses: a patient who texts back "I need to reschedule" gets an immediate reply that starts the rebooking process. No phone tag. No front desk time. The slot gets refilled.
For practices where a single no-show represents $150–$400 in lost revenue, even modest improvements in confirmation rates pay for the platform many times over.
See how it works →
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Sources: Notifyre (2025), SMS Comparison, Local Splash (2024)