Chiropractic/PT Management

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source practice management platform for chiropractors and physical therapists, built around SOAP notes, exercise programs, outcome measures, and billing.

Chiropractic and physical therapy clinics rely on proprietary, quote-priced platforms that lock clinical data behind closed APIs and charge steeply for AI documentation and integrations. This project aims to deliver an open, standards-aligned alternative that puts AI-assisted documentation, outcome tracking, and billing automation in the hands of solo practitioners and multi-discipline clinics alike.

Why Chiropractic/PT Management?

Pricing opacity and high entry cost: Established platforms like ChiroTouch, ECLIPSE, PayDC, and WebPT are quote-only, with full-featured tiers running $300–$600/month plus 4–7% of collections for billing add-ons.
Closed ecosystems: ChiroTouch has no public developer API; PayDC and ECLIPSE expose limited or no modern API surface, forcing clinics through middleware like Keragon for any custom integration.
AI as a paywalled differentiator: AI scribe features (Rheo AI, SPRY AI Scribe) are bundled into proprietary suites; smaller practices using Noterro, Cliniko, or Jane App must bolt on third-party tooling or pay enterprise tiers.
Discipline mismatches: WebPT is PT-centric and weak for chiropractic workflows; ChiroFusion is chiro-only and underserves multi-discipline clinics; no incumbent covers chiro, PT, OT, and SLP equally well from an open foundation.
Compliance burden borne by clinicians: Medicare LCDs, ICD-10/CPT coding accuracy, and prior authorisation are growing sources of denial; existing tools detect issues after submission rather than preventing them at the point of documentation.

Key Features

Clinical Documentation

Customisable SOAP and evaluation templates for chiropractic and PT workflows
Real-time AI Scribe converting voice or in-room conversation into structured, payer-defensible notes
Adaptive charting that learns from a practitioner's prior entries
Document imaging and digital consent capture

Scheduling and Patient Engagement

Multi-provider, multi-location appointment scheduling with online booking
Automated SMS and email reminders with waitlist and cancellation fill
Patient portal with intake forms, secure messaging, and digital signatures
Telehealth video visits (1:1 and group sessions)

Billing and Revenue Cycle

Insurance billing with clearinghouse submission and claim scrubbing
Real-time CPT/ICD-10 coding compliance assistant before claim submission
Prior authorisation automation with AI-generated clinical rationale
In-office and online payment processing

Outcomes and Compliance

Built-in standardised outcome measures (FOTO, PROMIS, NDI, Oswestry, DASH)
MIPS/QPP reporting data collection and export
HIPAA-compliant storage with role-based access control
Care plan documentation aligned with Medicare LCD requirements

Home Exercise and Patient Adherence

Home exercise programme delivery with video library
Patient adherence tracking and predictive non-adherence detection
AI-personalised exercise plans based on diagnosis and progress data
Automated outreach triggers for at-risk patients

Integration and Extensibility

Public REST API with OpenAPI 3.1 specification
HL7 FHIR R4 patient data export for hospital EHR interoperability
Clearinghouse connections for claims (TriZetto, Change Healthcare-style)
Middleware-friendly architecture for Zapier/Make-style automation

AI-Native Advantage

Unlike incumbents that retrofit AI onto closed clinical workflows, this project is designed AI-first. Voice-to-structured SOAP note generation produces compliant notes during the encounter rather than after it. A real-time coding compliance assistant flags insufficient documentation before claims go out, reducing denials and audit risk. Predictive non-adherence detection uses attendance, outcome, and communication signals to surface at-risk patients early, and automated prior authorisation drafting compiles supporting clinical documentation without manual staff involvement.

Tech Stack & Deployment

The platform targets HIPAA-compliant cloud deployment with role-based access control, supporting both single-clinic SaaS and self-hosted models. Standards alignment includes HL7 FHIR R4 for interoperability, ANSI X12 837/835 for billing transactions, ICD-10-CM and CPT (98940–98943 and PT codes) for coding, and SOAP documentation conforming to ACA/FCLB guidance. A documented public REST API (OpenAPI 3.1) is a first-class deliverable, in contrast to incumbents whose API surface is limited or absent.

Market Context

The global physical therapy software market was valued at approximately USD 1.25–1.35 billion in 2023–2024 and is projected to reach USD 2.54–3.82 billion by 2030–2034 at roughly 10% CAGR (Grand View Research, Precedence Research, SNS Insider). The chiropractic software segment is a parallel subset in the hundreds of millions (Mark Wide Research). Entry-level cloud platforms start at $99–$150/month; full-featured tiers run $300–$600/month with billing add-ons of 4–7% of collections. Primary buyers are solo chiropractors, multi-provider chiro clinics, outpatient PT clinics, multi-discipline wellness centres, and hospital-employed PT departments.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Note: CPT codes are licensed from the AMA and require a licence for commercial distribution; contributors should not embed CPT code descriptors without addressing licensing.

Licence

Licence to be determined. See discussion for context.