Pretty Good AI vs NextPatient
Pretty Good AI vs NextPatient
NextPatient is one of the highest-rated self-scheduling and waitlist products on the athenahealth Marketplace. Pretty Good AI covers the same schedule work plus the phone line and the workflows behind it. Where each one wins.
The short answer
NextPatient is patient self-scheduling, automated waitlists, digital check-in, recalls, reminders and texting, integrated with athenaOne in real time. It is one of the best-reviewed products in its category on the athenahealth Marketplace — 209 practice connections and a 5.0 rating across 65 reviews as of 5 September 2026 — and practices that need patients to book themselves are well served by it. Pretty Good AI covers the same schedule work from a different direction: instead of giving patients a better self-service surface, an athenaOne-native AI answers the call, works the waitlist by voice as well as text, and completes the booking in athenaOne. The dividing line is whether your patients self-serve or call.
When NextPatient is the better fit: Your patients will book themselves online, your bottleneck is a self-scheduling and check-in experience rather than phone volume, and you want a mature, extremely well-reviewed product that does exactly that. NextPatient has been on the athenahealth Marketplace since 2017 with a 5.0 rating and does self-scheduling better than any AI platform does it as a side capability.
Pretty Good AI vs NextPatient, side by side
| Dimension | Pretty Good AI | NextPatient |
|---|---|---|
| Core approach | AI works the schedule on the practice side: answers the call, calls the waitlist, selects who fits the slot, books it in athenaOne. | Patient-facing self-service: the patient books, joins a waitlist, checks in and confirms themselves. |
| Channels | Voice, text, web and fax, with the same agent and the same patient memory across all of them. | Web and text. Advanced texting, reminders and recalls; no AI voice agent on the phone line. |
| The patients who call anyway | Answered and resolved by the AI, including after hours, with the booking written into athenaOne. | Still reach the front desk. Self-service reduces call volume but does not cover the calls that remain. |
| Waitlist and cancellation backfill | Detects the opening, selects eligible patients against practice rules, reaches them by voice and text, books the slot. | Automated waitlist notifies patients of openings for them to claim, which works well when patients are responsive. |
| Scope beyond the schedule | Referral intake, revenue protection, eligibility, outcomes and KPI reporting on the same athenaOne integration. | Scheduling, check-in and patient communication. Referral and revenue workflows are out of scope. |
| athenaOne integration | 500+ athenaOne APIs connected out of roughly 800 endpoints athenahealth exposes. athenaOne only. | Real-time athenaOne integration and a long-standing athenahealth partnership. Does not publish an endpoint count. |
| athenahealth Marketplace record | 17 reviews, all five-star, 40 practice connections, listed September 2025. | 5.0 rating across 65 reviews, 209 practice connections, listed since November 2017. One of the strongest review records in the category. |
| Complex scheduling rules | Rules are read from athenaOne — appointment types, provider groups, templates — and applied by the agent at booking time. | Rules are configured in the product. Practices with unusually complex provider-specific rules should test theirs specifically. |
| Filling and moving the schedule today | Waitlist backfill calls patients when a slot opens, the appointment accelerator pulls booked patients earlier inside your rules, prep reminders surface cancellations days ahead instead of as no-shows, and tickler and order-driven outreach book the patients who are due. Cancellation recovery is in development. | Patient self-scheduling, automated waitlists, digital check-in, recalls, reminders and texting, integrated with athenaOne in real time and very strongly reviewed on the marketplace. |
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, this is the most efficient possible answer — 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 young, digitally comfortable population and simple visit types often see genuinely high self-service rates, and a self-scheduling product is the right purchase.
Practices with older patients, complex or multi-step visit types, high new-patient volume, or a population that just 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, and being honest about it: they usually keep the self-scheduling product. The issue is not that it failed. It is that it addressed the patients who were never the problem.
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 scope ends at the schedule and the messages around it, 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 authorisation 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 connect 500+ athenaOne APIs out of roughly 800 endpoints athenahealth exposes, 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.
The honest recommendation
If your patients book online and your problem is the self-service experience, buy NextPatient. 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.
Why practices pick us over NextPatient
Four parts, one platform, and each part uses the others. Most of the vendors on this site own one of these four well. The argument for us is that the same integration and the same patient memory carry all four, and that it is athenaOne only.
Patient engagement
We bring patients in and keep them close
We pick up the phone, day and night. Patients reach you by phone, text, chat or video. They book, reschedule, ask for a refill or get an answer. We call and text for you too — confirmations, recalls, and open slots to fill. Our AI remembers what a patient already told your practice, across every channel, so nobody repeats themselves.
Workflow automation
We do the staff work that piles up
A cancellation, a new referral, an overdue follow-up or a staff request starts a job. We do the steps, reach the patient if we need to, and hand the rest to your staff with everything they need. Your team sees the work in the Pretty Good AI Console or right inside athenaOne. Clinical decisions stay with your care team, always.
Referral management
We turn referrals into first visits
Referrals arrive by fax, portal and form. We track each one from intake to first visit, chase the missing information, reach the patient and book the visit. You see where every referral stands, and where the funnel leaks.
Revenue cycle
We keep revenue moving
Money leaks around every visit. We check insurance before the visit, track approvals so visits are not held up, call patients about balances, set up payment plans, and follow up on the claims your team hands us. Built to your billing team’s rules.
We only do athenaOne
One system means we go deep. We connect 500+ of the roughly 800 endpoints athenahealth exposes, and we read and write the real record — no middleware. Most vendors in this category connect ten or twelve. That depth is what lets a workflow finish instead of stopping at a handoff.
We build yours
If you can write down the rule, we can automate it. Your scheduling rules, your intake questions, your handoffs, your billing follow-up. And if another athenaOne marketplace app does a workflow you need, we can build it for you — same APIs, your rules, one vendor.
Live and measured
- 100,000+
- patient calls a month, at more than one customer
- About 60%
- of those calls handled start to finish by the AI at the largest deployments
- Hundreds
- of providers inside a single group
- 20
- specialties on our athenahealth Marketplace listing
The mix is deliberately wide: FQHCs, family practice and primary care, OB-GYN, behavioral health, orthopedics, pulmonology and sleep, gastroenterology, urology, urgent care and surgery centers among them. Different specialties break the front office in different places, and the rules that fix them are not the same rules.
Customer-reported results. Your numbers will vary by workflow, staffing, seasonality and call mix.
Month to month, no setup fees. We build your first workflow before you pay anything, then the first 30 days live are free from the day it goes live — not the day we start building.
We don’t sell AI. We build yours.
Frequently asked questions
- Is Pretty Good AI a replacement for NextPatient?
- For some practices, yes, and this is one of the more common replacements we see — particularly at groups that bought self-scheduling to reduce phone volume and found the phones still ringing. For practices whose patients genuinely self-serve, NextPatient is a strong product with an excellent review record and there is no reason to move.
- What does NextPatient do?
- NextPatient provides patient self-scheduling, automated waitlists, advanced texting, digital check-in, recalls and reminders, integrated with athenaOne in real time. As of 5 September 2026 it had 209 practice connections on the athenahealth Marketplace with a 5.0 rating across 65 reviews, and it has been listed since November 2017.
- Do self-scheduling tools reduce phone volume?
- They reduce it, and rarely as much as expected. Self-service captures the patients who prefer to book online, which skews younger and toward simpler visit types. Complex bookings, older patients, new patients unsure which provider to see and anyone with a question tend to call regardless. The practical question is what happens to the calls that remain, because that is where the staffing cost sits.
- Can a practice run NextPatient and Pretty Good AI together?
- Yes, and it is a reasonable configuration: NextPatient owns the patient-facing self-service surface, Pretty Good AI answers the phone and works the schedule from the practice side. The one thing to settle is who owns the waitlist trigger, so the same patient is not contacted twice about the same opening.
- Which handles complex scheduling rules better?
- Test yours specifically rather than trusting either answer. Practices with heavy provider-specific rules — visit-length variation, sequencing requirements, provider preferences that are not in the template — sometimes find a configured rules engine cannot express all of them, which is why we read rules from athenaOne rather than restating them. But NextPatient has been doing this for a long time and is good at it, so bring your hardest rule to both.
Sources
Everything stated here about another vendor comes from that vendor's own public material or from the athenahealth Marketplace listing, on the date shown. Vendors change their products and their pricing; if something below is out of date, email contact@prettygoodai.com and we will correct it.
- NextPatient — athenahealth Marketplace listing (accessed 2026-09-05)
- NextPatient company site (accessed 2026-09-05)
- Pretty Good AI — athenahealth Marketplace listing (accessed 2026-09-05)
See it against your own athenaOne data
The honest way to compare is on your own call volume, your own schedule and your own payer mix. Book a working session and we will walk your numbers.