Yes, Assort is designed to complete scheduling workflows inside your existing medent environment. Patients can schedule, reschedule, or cancel appointments during a single conversation without requiring staff to manually recreate the interaction afterward.
Instead of acting as a message-taking service, Assort helps complete the scheduling workflow while keeping patient access moving.
Yes, healthcare scheduling is rarely first-available.
Assort follows the rules your organization already uses, including:
That helps ensure patients are matched with the right appointment, not simply the next available slot.
This is where healthcare AI differs from general conversational AI.
Assort evaluates operational context—not just what the patient says.
Depending on your workflows, that may include:
Operational accuracy is what allows organizations to automate patient access confidently at scale.
Yes, many patient interactions don't begin with scheduling. They begin with a referral.
Assort can help collect referral information, guide patients through next steps, answer common questions, and route requests according to your organization's workflows, helping reduce manual follow-up and improve patient access.
Yes.
Patients don't stop calling when the office closes.
Assort provides 24/7 coverage so patients can:
Staff arrive the next morning with fewer routine requests waiting.
Many AI receptionists focus on answering calls, documenting conversations, and routing messages.
Assort is designed to resolve patient requests by completing work across the patient access journey. That includes scheduling, referrals, intake, medication refill requests, payments, proactive outreach, and other operational workflows—not simply answering the phone.
The goal isn't just to automate conversations. It's to automate patient access.
No, Assort is designed to increase the capacity of your patient access team, not replace it.
Routine administrative work is automated so staff can focus on complex patient situations, exceptions, and high-value interactions where human judgment matters most.
Implementation timelines depend on your organization's size and workflows, but deployments are typically measured in weeks rather than months.
Implementation includes workflow configuration, medent integration, testing, and go-live support to ensure the AI reflects how your organization actually operates.