AI Onboarding

An appointment only creates value when the patient arrives and the physician is ready.

Nearly one in five appointments is missed, often for fixable reasons: no transportation, no childcare, uncertainty about cost, or fear of the result. A reminder text can confirm the time. It cannot identify the barrier, resolve it, or fill the opening quickly when a patient cancels.

Even when the patient arrives, the visit may begin without complete registration, an accurate history, required forms, or the right clinical context. Physicians lose time gathering information that should have been available before the appointment, reducing both the quality and capacity of the schedule.

AI Onboarding supports the full pre-visit process: finding the right appointment, confirming eligibility, completing registration and intake, identifying scheduling or access barriers, preparing the patient, and backfilling cancelled slots from the waitlist. Relevant information is documented in the medical record before the visit, and urgent symptoms identified during scheduling can be escalated to a nurse.

For a health system delivering 500,000 visits annually, an 18% no-show rate represents tens of thousands of hours of unused clinical capacity. At approximately $250 in margin per empty slot, the impact can reach roughly $5.6 million per year for every $1 billion in net patient revenue.

The objective is not simply to schedule more appointments. It is to ensure that more patients arrive, more clinicians begin with the information they need, and more of the health system’s capacity is used to deliver care.