There's a claim floating around the allied health software market right now, and it sounds roughly like this: traditional practice management platforms are outdated, AI-first platforms are the future, and if you haven't switched yet you're falling behind.
I've been hearing versions of this pitch for about a year. Some of it from new AI-native companies. Some from legacy vendors scrambling to bolt AI features onto decade-old codebases. And some from the general ambient noise around anything with "AI" in the name.
I started writing this piece expecting a clean verdict. Three drafts later, I still don't have one, and that surprised me. The gap between "traditional" and "AI-first" is real in some places and manufactured in others. Let me start with the money, because that's where things get concrete fast.
Follow the money first
Everyone focuses on features when they debate this stuff. Nobody talks about what allied health practitioners pay for their tech stack. That frustrates me, so let me fix it.
Take Jane App, since it's the most popular platform in the allied health space. Their current pricing breaks down into three tiers:
- Balance (solo, max 20 appointments/month): $54/mo
- Practice (unlimited appointments, 1 practitioner included): $79/mo
- Thrive (advanced scheduling, waitlists, memberships): $99/mo
That's the base price. But here's what gets buried: Jane's AI Scribe costs $15 per practitioner per month on top of your plan. Insurance billing is another $20/month add-on. Group telehealth is a separate $15/month. A solo practitioner on the Practice plan who wants AI notes, insurance billing, and group sessions pays $79 + $15 + $20 + $15 = $129/month minimum, and that's before any third-party integrations.
A physio in Edmonton hadn't done the math until her accountant flagged it during year-end bookkeeping. She was paying $79 to Jane plus three smaller subscriptions for features that weren't bundled. The total was higher than she expected — not dramatically, but enough to make her check what else was out there.
The math changes when everything is one subscription
AI-first platforms that include everything in one plan change this arithmetic. Oli Health charges $19.95 per clinician per month — one flat rate that covers AI scribe, AI charting, scheduling, billing, telehealth, patient portal, online booking, client communication, and 2 million AI credits per month. No tiers. No add-on surcharges. No introductory pricing that jumps after three months.
Whether the product is the right fit for your practice is a separate conversation. But the gap between $114+ with Jane and $19.95 with an all-in-one platform is difficult to ignore on the numbers alone.
The incumbents earned their place though
I deleted an earlier draft of this section because it was too generous to the new platforms and not generous enough to the existing ones. Let me recalibrate.
Jane App and Cliniko have real advantages that newer platforms haven't matched yet.
Community and ecosystem. Jane has an extraordinary user community. Practitioners share templates, workflows, and advice. A naturopath in Ontario can find exactly how another naturopath structured their celiac screening intake form. That depth of shared institutional knowledge takes years to build. You don't get it from a startup's empty forum, no matter how good the product is.
Proven reliability. These platforms have been running in production for a long time. Millions of appointments. Their booking systems, calendar sync, and payment processing are battle-tested in ways newer platforms are still proving. If your livelihood depends on your booking system not going down at 9am on a Monday, track record counts.
I'm not going to add a third bullet point for symmetry. Community and reliability are the two real advantages. Everything else — brand recognition, specialty templates, marketplace integrations — is a secondary version of those two things.
The question isn't whether Jane App works. It does, and it works well. The question is whether what you need from your software in 2026 is the same as what you needed in 2020. I thought the answer would be "mostly yes, with some AI sprinkles on top." Three drafts of this article later, I think the answer is closer to "no."
What the documentation gap looks like at 6:40pm
This is where the abstract debate gets real. Not in feature comparison charts. In the space between your last patient leaving and you locking up for the night.
Rania runs a solo pelvic floor physiotherapy practice in Ottawa. Four days a week, eight patients a day. She finishes her last session at 6:40pm. The notes from that session are still in her head but the EMR is three clicks away from the right template. She types the subjective section from memory, copies objective findings from a sticky note, and realizes she forgot to document the home exercise progression from the 4pm patient. By the time she's done, it's 7:15 and the parking lot is dark. Her daughter's soccer game started at 7.
The documentation gap in practice
That's not "3 to 12 minutes per patient" — a range so wide it's almost meaningless. It's a specific person missing a specific evening because the note-taking workflow wasn't designed for the way she works.
What the workflow looks like with native AI
With a platform where charting is natively integrated with AI, the note is drafted before Rania sits down. The system listened to the session (with patient consent), structured the observations into a SOAP format, pre-populated the fields, and flagged anything that needs her attention. She reviews, edits where needed, and signs off. Total: 30 seconds to 2 minutes.
The difference per patient is modest. The difference across 32 patients in a week is somewhere between 40 minutes and 3 hours. That's the soccer game.
Documentation burden is the leading source of practitioner burnout in allied health. Any tool that reduces it is worth paying attention to. The caveat: you need the AI to produce clinically accurate notes for your specific discipline — a chiropractor's documentation needs are different from a dietitian's — and the AI needs to learn your personal style over time so the outputs require less editing, not more.
What "AI-first" means, and the uncomfortable part nobody wants to say
I've been using the term "AI-first" throughout this article, which means I should define it before someone accuses me of doing the same branding work I criticized in the intro.
"AI-first" can mean two different things. One is boring. One is interesting.
The boring version: A company that slapped a ChatGPT API onto its existing scheduling interface and now calls itself "AI-powered." This is cosmetic. The AI is decorative. It might generate a summary or suggest appointment slots, but the underlying system was built without it and the AI sits on top like a layer of paint over pre-existing architecture.
The interesting version: A platform where the AI is woven into the data model from the beginning. The charting system accepts voice input and produces structured notes. The scheduling engine takes AI-optimized suggestions. The billing module receives codes suggested by the AI that listened during the appointment. Every module feeds data to every other module because they share an intelligence layer.
The difference matters because bolt-on AI creates data silos. Your scribe produces a transcript in one system. Your charting lives in another. Your billing runs separately. When a platform is built with AI from the architecture up, the clinical note flows into the billing suggestion, which flows into the invoice, which flows into the patient portal, without copy-pasting between tabs.
It's whether AI was a design consideration from the start, or a feature bolted on after the foundation was poured. Most allied health platforms added AI after 2023. Platforms like Oli Health built their charting, scheduling, and billing system around it from the beginning.
Here's the part I went back and forth on including: most "AI-powered" EHRs in the allied health space are autocomplete with better marketing. I've sat through demos from three platforms in the last six months that called themselves AI-first. Two of them were clearly running a GPT wrapper on top of a scheduling system that hadn't changed since 2019. The third — I couldn't tell. Maybe that's worse.
The allied health software category is splitting into two eras, and the divide is becoming clearer every quarter. Platforms being built now treat clinical AI as a core architectural decision. The ones built five or ten years ago are retrofitting it. Retrofitting works for a while. It always works for a while. The seams show eventually, and they usually show in your monthly bill before they show in the product experience.
If you're a solo practitioner choosing your first EHR, consider an AI-first platform seriously. You have no switching costs and the financial advantage is substantial.
If you're established, the question is sharper: is the documentation time you're losing every day, combined with the monthly cost of stitching together multiple tools, worth the disruption of migrating? For Rania, the answer was yes. She switched in February and said the evenings feel different now.
Frequently asked questions
What is the difference between traditional practice management software and AI-first practice management?
Traditional practice management tools like Jane App, Cliniko, and SimplePractice were built for scheduling, billing, and charting without AI at the core. They work well, but they were designed before clinical AI was practical, so AI features get added as bolt-ons with separate subscriptions. AI-first platforms like Oli Health were architected around AI from the beginning, meaning documentation, scheduling, billing, and patient communication share a common intelligence layer. The difference shows up in workflow integration and in your monthly bill.
How much does practice management software cost for allied health practitioners?
Costs vary widely depending on whether you use one platform or stitch together multiple tools. Jane App's Practice plan starts at $79/month for a solo practitioner, with AI Scribe ($15/month) and insurance billing ($20/month) as separate add-ons — totaling $114/month or more. Cliniko starts at $45/month but doesn't include AI features. Practitioners who add third-party tools for telehealth or patient intake can reach $130 to $150/month. AI-first platforms like Oli Health take a different approach: $19.95 per clinician per month with everything included — AI scribe, charting, scheduling, billing, telehealth, patient portal, and 2 million AI credits monthly. No tiers, no contracts, no add-on fees.
How accurate are AI-generated clinical notes in allied health EHRs?
AI-generated clinical notes in 2026 are accurate enough to serve as first drafts that require review, not full rewrites. Platforms with specialty-specific AI (like Oli Health, which offers discipline-specific templates for physiotherapy, chiropractic, naturopathic medicine, psychotherapy, and others) produce notes matching the expected documentation format for your field. Most practitioners report editing AI-drafted notes from about 15-20% of content in the first week down to 5% or less after two weeks as the system adapts to their terminology and style.
I'm not going to pretend AI-first works for every practice. But if your documentation is eating your evenings and your tech stack costs more than your phone plan, it's worth running the numbers. Try the full platform free — no credit card, no sales pitch. Run it alongside your current setup for a week and see if the time savings hold up for your specific workflow.
