Frequently Asked Questions

It answers inbound patient calls, identifies who is calling and what they need, and completes the request on the call itself, whether that is scheduling, rescheduling, recall, or a common question, within the rules your team approves. Every call is captured with its intent, outcome, transcript, and next step, so if something needs a person, your team already has the full picture.

No. It takes the routine, repetitive call volume, such as scheduling, rescheduling, recall, and common questions, so your team can focus on patients standing at the desk and on calls that genuinely need a person. Urgent or complex conversations are escalated to your team with the context already gathered.

Yes. Every appointment, update, and call outcome is written back to your EHR, so scheduling and rescheduling land in the system your team already uses. The Verifier, our insurance agent, is live and prepares eligibility work for staff review; direct eligibility and claims connections into each system carry their own status. The specialties page shows the clinical workflows we currently highlight and their availability status.

Yes. We are HIPAA compliant, and an independent third party has assessed that compliance. We sign a Business Associate Agreement with every customer, and our SOC 2 audit is in progress (not yet complete). Where a customer is subject to HIPAA and we process protected health information on its behalf, EigenH AI acts as a business associate under a written Business Associate Agreement, as described in our privacy policy. The BAA is signed before production PHI is submitted. We approve the production use case in writing, and the agreement is in effect before PHI moves. Data-handling and compliance questions are covered in detail during the sales process; contact our team for specifics. To evaluate any AI phone vendor, use our HIPAA checklist for AI phone agents.

The agents are built to complete routine administrative requests reliably. When a conversation needs human judgment, it hands the call to your team with the transcript and context already captured, so the patient does not have to start over and nothing gets dropped.

The timeline depends on how deep the integration goes, so our team scopes it for your setup during the first conversation. Every launch follows the same path: a discovery call, configuration against your team's scheduling rules and call scripts, and testing of routine requests and exceptions before the workflow handles real patient calls.

No. It handles administrative work, such as call answering, scheduling, reminders, and follow-up. It does not diagnose, treat, or give medical advice, and it does not prescribe, approve, or dispense medications. Any medication-related request a patient raises is logged and routed to your clinical team for review.

Yes. It answers inbound calls 24/7, including nights, weekends, holidays, and busy-hour overflow when your team is already on another line. Calls that still slip through enter the follow-up queue, so the patient hears back from your team instead of scheduling somewhere else. For how to decide which after-hours calls AI agents should finish and which go to the on-call clinician, see after-hours calls in kidney care.

An answering service takes a message for someone to act on later. The agent completes the task on the call: it schedules or reschedules the appointment within your approved rules and logs the transcript, intent, and outcome for your team. Calls that need human judgment go to staff with the full conversation attached. Our medical answering service vs AI agents comparison covers cost, coverage, and HIPAA side by side.

Pricing is quoted per group after a scoping conversation rather than published as a list price. The quote depends on your call volume, the workflows you start with, the EHR connection, and how much implementation support you need. The pricing page explains how that conversation changes for a single location, a group with 2 to 3 locations, and a larger group, and a demo is where a real number comes from. We are sales-led, so there is no self-serve signup.

Inbound patient calls are the core of the platform. Reminders, confirmations, and approved follow-up go out on the channels your team signs off on during setup, and the exact channel mix for your workflows is confirmed while your deployment is scoped.

It holds a natural conversation instead of walking patients through menu options. A patient says what they need, whether that is a new appointment, a different time, or a question about an upcoming visit, and the agent understands the intent and completes the task rather than routing the call to a mailbox or a hold queue.

Your team does. During onboarding you define the call scripts, scheduling rules, provider and exam room availability, and escalation criteria, and the agents stay within them. Anything outside those rules goes to staff.

It sends appointment reminders and confirmations on the schedule your team approves, and runs recall for patients who missed a visit or are overdue for one. Each attempt gets a recorded status, so your team can see who confirmed, who rescheduled, and who still needs a person. Our post on cutting dialysis no-shows shows the approach in a high-stakes setting.

It captures every call's intent, outcome, transcript, and next step, so the team can see what happened on each interaction and what still needs attention. Call analytics show call volume, appointment outcomes, follow-up status, and staff handoffs.

Yes. It supports custom call flows per location, and reporting scope for a group is confirmed during evaluation. The pricing page describes how scoping works for a single location, a group with 2 to 3 locations, and a larger group; for larger groups, the integration scope, deployment boundary, and commercial terms are confirmed in writing before a proposal. Talk to our team about your locations.

Nephrology groups can miss calls after hours, during lunch, and whenever staff are already on the phone, and each unanswered call can be a patient who schedules elsewhere. The free missed-call calculator models the monthly opportunity from your own call volume, missed-call rate, and patient value. The assumptions are visible and editable, and the result is a planning estimate, not a performance claim.

Book a demo or email support@eigenh.ai. Engagements begin with a discovery call to map your current patient communication flow and pick the highest-impact workflow to start with. From there, the agents are configured to your call scripts, scheduling rules, and integration requirements, then tested with your team before go-live.