You already have the patients. Algoricum finds the ones most likely to come back, knows what they need, and books them.
You don't need to chase 1,900 patients. You need to know which 40 are most likely to book. Algoricum reads the treatment and visit history already in your records, predicts who is most likely to come back, and puts the best opportunities at the top of the list. Then it goes to work. Here is one week, start to finish.
Your patient list isn't just names and phone numbers. It tells us who stopped coming. Who is overdue. Who left treatment unfinished. And who said yes to treatment but never put it on the calendar. Algoricum reads that history straight from your practice software.
| Patient | Last visit | Opportunity |
|---|---|---|
| Marcus Bell | 16 months ago | Recall overdue |
| Priya Anand | 21 months ago | Crown deferred |
| Leon Ortiz | 14 months ago | Preventive due |
| Dana Whitfield | 11 months ago | Treatment plan open |
You could send the same reminder to 1,900 patients. Or you could start with the people most likely to book. Algoricum predicts who is most likely to come back, then looks at the treatment or visit waiting to be booked. So before anyone gets a message, you know where to start.
Who would you call first?
Marcus is more likely to return. Priya has more treatment waiting. Neither number alone tells you who to start with. Algoricum weighs both before it decides where to begin, so your front desk is never guessing.
So Algoricum doesn't hand your front desk another list. It does the follow-up. Text. Email. Phone. It handles the back and forth, answers questions, and books the patient straight into your schedule.
| Patient | Booked | Via |
|---|---|---|
| Priya Anand | Tue 2:00 PM | Call |
| Marcus Bell | Thu 10:00 AM | Text |
| Leon Ortiz | Mon 8:30 AM | Text |
| Dana Whitfield | Fri 3:15 PM |
Five specialists. Five jobs your practice has to get right. Each one watches a different part of the practice, knows what to look for, and acts before the opportunity is gone.
Cal goes through every patient in your records and finds the ones most likely to come back.
He looks at when they were last seen, what they need, and how likely they are to book. Then he starts with the best opportunities and follows up until they respond or book.
A patient calls while your team is checking someone in. Another calls after lunch. Another calls at 9 PM.
Ava answers on your practice number, handles the conversation, checks your schedule, and books the appointment while the patient is still on the phone.
Nina doesn't. She predicts which appointments are most likely to fall through and confirms those patients earlier.
Then she finds patients who want an earlier appointment and gets them ready if a spot opens. So when somebody cancels, your team isn't starting from zero.
Owen responds while they are still thinking about your practice. He answers their questions, handles the back and forth, shows them available times, and gets them onto the schedule.
During lunch. After hours. On weekends.
The crown they were going to schedule later. The implant they wanted to think about. The treatment plan that never made it onto the calendar.
Theo finds it, follows up, answers the next question, and keeps going until the patient responds or books. Your dentist already did the hard part. Theo makes sure the treatment doesn't get forgotten.
Remy is the coworker you actually talk to. She puts Cal, Ava, Nina, Owen, and Theo to work on one shared patient list, decides who handles what, and keeps the follow-up moving day and night. She sends you a read on the week, answers your questions about the practice, and comes to you only when she needs a decision from you.
Remy runs the team all day and does the follow-up end to end. The only things that reach you are the few that actually need you: a decision, a personal reply, a call only you can make. Everything else is already handled.
Do the two-minute decisions. Let Remy handle the chasing.
Illustrative example, not a specific practice's results.
A dental patient overdue for hygiene shouldn't get the same follow-up as a med-spa patient due for Botox. Different treatments. Different timing. Different conversations. Algoricum learns what your practice does, what your patients come in for, and what should happen next.
Recall. Unfinished crowns. Treatment plans that never got booked. Open chairs.
See Algoricum for dentistsBotox due again. Packages left unfinished. Consults that never booked. Patients who stopped coming.
See Algoricum for med spasPlans of care that stalled. Patients who stopped before discharge. Missed visits. Referrals that never got scheduled.
See Algoricum for PTAnnual exams overdue. Vision benefits that reset at year-end. Eyewear and contacts that never got ordered.
See Algoricum for optometryYour schedule. Your phone number. Your email. Your patient records.
Algoricum works with patient records because that is how it knows who needs attention. So protecting those records isn't an add-on. It is part of how the product is built.
Before Algoricum works with patient information, your practice has a signed Business Associate Agreement in place.
Patient information is encrypted in transit and at rest, with access limited to the people and systems that need it.
Before Algoricum reaches a patient, the system checks the consent, contact rules, and content that apply to that communication.
Cal is included from day one. He finds the patients in your records most worth bringing back and starts working them.
Then add Ava, Nina, Theo, or Owen when you want Algoricum handling more of the practice.
In 20 minutes, we will show you exactly how Algoricum finds the money sitting in a patient list like yours, what it knows about why those patients should come back, and what happens once it starts working.
We will reach out within one business day to set up your demo. Keep an eye on your inbox.
We will reach out within one business day to set up your demo. Keep an eye on your inbox.
