Pretty Good AI vs NextPatient

Two ways to solve the same problem

Both products exist because the front desk cannot keep up with the schedule. They take opposite routes to it.

NextPatient moves work to the patient. Book yourself, join the waitlist yourself, check in yourself, confirm yourself. When patients cooperate, that is highly efficient because nobody at the practice touches it at all. NextPatient has been doing it on athenaOne since 2017 and has the review record to show for it: 5.0 across 65 marketplace reviews, which almost nothing in this category matches.

Pretty Good AI moves the work to an AI on the practice side. The patient calls, the way they were always going to, and the AI books the appointment, works the waitlist, handles the reschedule and writes it into athenaOne.

Neither is the smarter idea. They serve different patient populations.

The question that decides it

What share of your patients will actually self-serve?

You know this already, roughly, from your own portal adoption. Practices with a digitally comfortable population and simple visit types often see genuinely high self-service rates, and a self-scheduling product fits that well.

Practices with complex or multi-step visit types, high new-patient volume, or a population that prefers the phone see much lower adoption. They install self-scheduling, adoption plateaus somewhere disappointing, and the phones still ring.

That second case is the one where practices come to us. The issue is not that the self-scheduling product failed. It is that it addressed only the patients who were already willing to self-serve.

Where the two overlap, and the one thing to settle

The overlap is the waitlist. Both products want to fill a slot that just opened, and they go about it differently: NextPatient notifies patients who can claim it, we select candidates against practice rules and call them.

If you run both, pick which system owns that trigger. Two systems independently contacting the same patient about the same Thursday opening is worse than either alone.

Everything else is complementary. Self-service check-in and an AI phone agent do not conflict.

Where the scope diverges

NextPatient’s center of gravity is the schedule and the patient-facing surface around it, and it also publishes referral management and payments products, which is a coherent product boundary and part of why it is so well rated.

An appointment is rarely the only thing that has to happen. The referral behind a new patient visit needs intake, missing records chased and often an authorization started. Eligibility has to be verified or the visit becomes a denial. Balances need working. Somebody has to report on whether any of it improved.

Those workflows are why we hold production access to 820+ athenaOne APIs, rather than the narrower surface a scheduling integration needs. Same integration, same memory of the patient, and the agent booking the appointment already knows the referral is incomplete.

Scope to confirm for your practice

If your patients book online and your problem is the self-service experience, NextPatient is a mature, exceptionally well-reviewed product built for exactly that. It is mature, it is exceptionally well reviewed, and we would not pretend to beat it at that job.

If you bought self-scheduling to get the phones under control and the phones are still ringing, the missing piece is not a better booking page. It is something answering the call.