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- 190 referral visits booked in 2 months
- By month two, patient replies grew to 61%
- And 57% of replies turned into a booked visit
- All handled by the agent, with no front-desk time
About Ortho1
Ortho1 is a multi-location orthopedic group. Like most orthopedic practices, it runs on referrals. Another doctor sends a patient over with a knee, shoulder, or back problem, and that visit is worth booking. Turning those referrals into appointments is how the practice grows, and the hard part is keeping up with the volume.
Executive Summary
Ortho1 was getting more referrals than its team could work. Each one needed a text, a few questions answered, and a booked visit. The front desk could not keep up, and patients dropped off before they ever scheduled.
Hello Patient built an outbound SMS referral agent. It texts each referred patient, answers their questions, and books the visit. In two months it reached 718 patients and booked 190. The share of conversations that ended in a booked visit climbed from more than a third in month one to more than half in month two, and the front desk never grew by a single hire.
The Challenge
Referrals came in faster than the team could work them. Booking one meant calling the patient, answering questions, and getting the visit on the calendar by hand. That took time the front desk did not have. Some patients got a call, some did not, and the ones who waited often booked somewhere else or gave up. Ortho1 could not solve this by hiring, so the referrals kept stacking up.
Three things were noticeable:
- Referral follow-up was slow and done by hand.
- Many patients never got a second try.
- There was no room to add staff to fix it.
Why Hello Patient
Ortho1 chose Hello Patient for three reasons.
- An outbound SMS referral agent, set up fast. Hello Patient built a text agent tuned to Ortho1's referral workflow and got it running.
- The agent texts each referred patient instantly, answers their questions, and books the visit. No referral waits for a staff member to find a free minute.
- It gives the team time for patient care. The agent handles the outreach and booking, so the front desk can stay with the patients in front of them.
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The Impact
The program started fully in May 2026 after some tests in April. The agent reached 481 patients and got 281 into a conversation. It booked 107 visits, more than a third of everyone who wrote back.
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June had 239 referrals, about half of May’s. Even so, the agent booked a bigger share of them, 83 visits, more than half of the patients it talked to.
Across both months the agent reached 718 patients and booked 190 visits, and the practice hired no one to do it. Every one of those 190 is a visit that used to sit as a referral no one had time to call.
What's Next?
Hello Patient is expanding the program with Ortho1. Next is a chatbot that can handle full scheduling, plus reschedule, cancel, and confirm. After that comes an inbound SMS agent for the practice’s full range of services, so patients who text in get an answer no matter what they ask.
For orthopedic practices losing referrals to slow follow-up, Ortho1’s first two months are a clear blueprint. The agent works every referral and books a bigger share of them over time, without adding staff.
Methodology
The program ran across its first two months, from May 1 through June 30, 2026, using outbound SMS to reach referred patients and book visits. The figures come from Ortho1’s Hello Patient dashboard.
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Frequently asked questions
How does an AI agent turn referrals into booked appointments?
The agent texts each referred patient, answers questions, and books the visit in the same thread. Hello Patient sets it up to work every referral the practice receives, so none of them wait for a staff member to find time. It handles the back-and-forth over text and puts the appointment on the calendar without anyone at the front desk running it. Our case study with Ortho1 showed the agent book 190 referral visits in two months, and its booking rate rose from more than a third of the patients who replied in month one to more than half in month two.
Can an AI agent book referral appointments over text?
Yes. The agent works entirely over SMS. It reaches the referred patient, answers common questions, and books the visit in the same text thread. Patients do not have to call in or wait for a callback, which is often where referrals get lost. The agent handles the full conversation and only brings in a staff member when something falls outside what it is set up to do. Text also fits how most patients want to respond, so more of them reply and book.
How is this different from having the front desk chase referrals?
When the front desk works referrals by hand, each one needs a call, and busy days mean many patients never get that call. The agent reaches every referred patient the same way, without competing with the work happening in the clinic. It answers questions and books the visit on its own, so the front desk stays with the patients in front of them. Referrals get worked steadily instead of waiting for a free minute that may not come.
Does it add work for staff?
No. The agent runs the outreach, the questions, and the booking on its own, so the team does not take on new tasks. When a conversation needs a human, the agent hands it off with the full context, and a staff member picks up where it left off instead of starting over. It gives the front desk time back.
Can the agent answer patient questions about the visit?
Yes. It answers the common questions patients ask before they book, like what the practice offers and how to schedule. It can answer insurance questions as part of the conversation. When a question needs a human, such as a clinical one, the agent passes it to staff with the details already captured. It never gives medical advice. Everything it handles stays inside the rules the practice sets.
Is it HIPAA compliant?
Yes. Hello Patient is HIPAA compliant and signs a BAA with every client. It is also SOC 2 Type 2 certified. The agent works within the rules and handoff steps your team sets, keeps patient information handled the way your policies require, and logs every interaction for review. Anything outside its scope goes to your staff.
Referral visits booked in two months
Of replies became a booked visit
The front desk never grew
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