AI Automation for Australian Healthcare

Our automation operates strictly within the administrative layer of healthcare operations and never touches clinical decision-making, which remains solely with registered practitioners. Workflows are designed around the Privacy Act 1988, the Australian Privacy Principles (APPs), and the My Health Records Act 2012. Data is stored in Australian data centres with AES-256 encryption at rest and TLS 1.3 in transit. We maintain full audit trails for every automated action, to support the record-keeping requirements of AHPRA-registered professions including medical practitioners, nurses, physiotherapists, and psychologists.

A connection to a practice management system such as Best Practice, MedicalDirector, Cliniko, Halaxy or Genie Solutions is not included as standard: we scope it as custom work on a quote. For hospital environments, we connect to systems supporting HL7 v2 messaging and FHIR R4 APIs. My Health Record integration follows the Australian Digital Health Agency specifications for document upload and retrieval. We handle CDA document formatting, IHI validation, and conformant upload so that discharge summaries, specialist letters, and diagnostic reports flow into the national system automatically.

Clinical AI assists with diagnosis, treatment planning, and medical decision-making, and falls under the Therapeutic Goods Administration (TGA) regulatory framework for software as a medical device. Administrative AI automation, which is what we provide, handles the operational workflows surrounding clinical care: patient registration, appointment scheduling, billing, referral routing, document management, and staff rostering. These are business process automations that do not interpret clinical data or make care decisions. This distinction matters for regulation: software used only to administer or manage health processes or facilities (billing, appointments, schedules and workflow), with no claims about diagnosing, monitoring or treating a condition, falls under the TGA's exclusion 14G and is not regulated as a medical device (TGA, Excluded software guidance, as at November 2026).

Our billing automation reads completed consultation notes and maps services to the correct MBS item numbers based on consultation type, duration, and modality (in-person, telehealth, home visit). For bulk-billed consultations, claims are formatted and submitted electronically via ECLIPSE or PRODA. The system cross-references patient Medicare eligibility in real time, flags expired referrals before the consultation begins, and handles DVA claims separately under the DVA fee schedule. Rejected claims are automatically re-queued with corrected details where possible, and flagged for manual review otherwise.

Patient consent is managed at multiple levels. During registration, patients opt into communication preferences (SMS, email, phone) which are stored in the practice management system and respected by all automated workflows. For My Health Record interactions, we check the patient consent status via the Individual Healthcare Identifier (IHI) service before any upload. Appointment reminders and recall notices comply with the Spam Act 2003 and include unsubscribe mechanisms. For sensitive health information such as mental health, sexual health, or substance abuse records, additional consent gates are enforced in line with state and territory health records legislation.

We do not quote a median ROI or typical savings, because they depend on your practice. Work it out from your own numbers. For example, if your practice spends 15 hours a week on billing, referrals and intake paperwork and that time costs you $50 an hour, that is $750 a week, or $39,000 a year over 52 weeks (an illustration, not a client result). Compare that with the plan prices on our pricing page. Allied health practices that run Cliniko or Halaxy can add NDIS and WorkCover claim management to the same workflows once a connection to their system has been scoped as custom work on a quote.