01 / APTAppointments
Multi-practitioner, multi-room scheduling with recurring plans, waitlist fill, and online booking that respects practitioner scope and room requirements.
In most clinics the documentation gets done after hours, the claiming is a separate system, and the referral that came in by fax last Tuesday is still sitting in someone’s inbox. We build the platform that holds all of it, with ambient note capture from Code3Scribe so the notes are drafted before the practitioner leaves the room.

Why they call us
Unpaid documentation time is the single biggest complaint in allied health, and it is the reason good practitioners burn out or drop to four days.
They arrive by fax, email, portal and phone. Without one intake queue, a percentage never convert and nobody knows what the percentage is.
Rebates, plans and funding schemes reconciled by hand at the end of the week, with rejections discovered long after they could have been fixed.
What’s in the platform
Every organisation starts from the same core and diverges within weeks. The modules below are the starting point, not the ceiling.
Select a zone to see what it does
01 / APTMulti-practitioner, multi-room scheduling with recurring plans, waitlist fill, and online booking that respects practitioner scope and room requirements.
02 / NTEDiscipline-specific templates, outcome measures, treatment plans and versioned history with a full audit trail on every edit.
03 / CLMClaim submission, rebate and gap calculation, funding-scheme plan tracking, and a rejection queue that shows what is stuck and why.
04 / REFOne queue for every inbound channel, with triage rules, expiry tracking on referrals, and conversion reporting from referral to first appointment.
05 / TELVideo consults inside the record, with consent capture, session notes attached to the encounter, and no separate meeting link to manage.
06 / ROSAvailability, leave, room allocation and contractor versus employee arrangements, with utilisation visible per practitioner and per site.
07 / PTLIntake forms completed before arrival, appointment self-management, exercise programs, documents and secure messaging.
08 / RPTUtilisation, conversion, outcome measures, funding mix and practitioner performance across every location from one dataset.
Customization
Most vendors stay vague about this until you are mid-contract. Here it is up front, so you can price the gap before you commit.
The AI layer
Off-the-shelf systems bolt a chatbot onto a decade-old database. We build the intelligence into the workflow, using the same engineering we ship for enterprise clients on Azure AI.
Code3Scribe turns the consultation into a structured, review-ready note. This is our own product, already drafting narratives in emergency medical services, applied to the clinic room.
Reads inbound referrals, extracts the clinical detail, and routes to the right discipline and urgency band, with a human confirming before anything is booked.
Flags patients likely to miss or disengage part way through a plan, which is where allied health outcomes and revenue are actually lost.
Answers, books and answers common questions outside opening hours, on the same stack as our MyHeartLine product, escalating anything clinical to a person.
Groups claim rejections by root cause and drafts the correction, so a week of small errors is fixed in one sitting.
A grounded assistant over your own reporting data. "Which referrer sent us the most patients who never booked?" answered from your records.




Integrations
We integrate rather than replace, so what already works keeps working.
Compliance & data
Designed against HIPAA and state privacy law in the United States, and the Privacy Act, Australian Privacy Principles and state health records legislation in Australia. Consent, retention and breach response are built in rather than bolted on.
Record-keeping and retention aligned to professional board requirements, including AHPRA obligations for Australian practitioners and state licensing board rules in the US.
Ambient documentation is review-and-sign. Nothing enters a clinical record without a practitioner approving it, and every AI-assisted note is flagged as such in the audit trail.
How the build runs
We sit in with reception and practitioners, map intake through claiming, and audit your current data. You get a written scope and fixed price before anything is built.
Scheduling, clinical templates, invoicing and claiming stood up against your real fee schedules, disciplines and funding mix.
Payments, accounting and messaging connected. Patient, clinical and financial history migrated with a reconciliation report you sign off.
One clinic goes live with us on hand, practitioners and reception trained, then a two-week hypercare window before the rest follow.
A named engineer, an agreed response SLA, and a quarterly cycle where you decide what gets built next. You own the source code.
Questions
Only with a human in the loop, which is how we build it. The draft is generated, the practitioner reviews and signs, and the record carries a flag that it was AI-assisted. Nothing is filed unread, and the practitioner remains the author.
Standard rebates and plan tracking are included. Complex or unusual funding packages are a scoped custom item, and we price that during discovery so there is no surprise mid-build.
Yes, that is the main reason clinics outgrow off-the-shelf. Templates, outcome measures and required fields are configured per discipline while reporting still runs across the whole practice.
For a single-practitioner clinic, almost always. The economics change with multiple disciplines, multiple sites, or a funding mix that off-the-shelf software handles badly. We will model it honestly against your current renewal.
Yes. Online booking respects practitioner scope, room requirements and the rules you set, so it only ever offers appointments you actually want taken.
You keep the source code and the data. Full export in open formats, infrastructure definitions handed over, and we will brief an incoming team.
Most clinics do. Intake and referral tracking is the usual first module, because it is where the revenue leak is easiest to measure.
Thirty minutes, a working demo build, and an honest answer about whether a custom platform is right for you. If off-the-shelf is the better call, we will say so.
You’ll speak with engineers, not account managers.
PanaceaLogics
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