AI for Healthcare

Compliance depends on the practice, the intended use and every provider processing information. Before a pilot, review lawful collection, use and disclosure, consent where required, contracts, access controls, retention and overseas processing. The OAIC guidance on commercially available AI products is a useful starting point. A generic AI service cannot promise compliance for every healthcare workflow.

We book directly into Cliniko and Splose. For Best Practice, Medical Director, Genie and other clinical systems, the assistant works alongside your system: it takes the call, collects the details and passes a ready-to-enter booking to reception, and we connect directly wherever the vendor allows it. We check your exact system, version and vendor conditions in discovery.

The practice defines approved administrative answers and how to hand clinical questions or prescription requests to staff. The assistant must not diagnose, recommend treatment or authorise medication. Test urgent-call instructions, requests for a person and unavailable-staff fallbacks. It is not a clinical triage or emergency service.

AI can produce incorrect or incomplete information. Agree review steps, activity records, escalation rules and a fallback process before launch. Staff need a way to correct bookings and outputs. Clinical entries require clinician approval; monitoring and human review reduce risk but cannot guarantee error-free operation.

The schedule depends on integration access, privacy review, workflow complexity and staff availability. Start with a limited administrative pilot, define acceptance checks and measure results before expansion. We do not promise a fixed implementation period or early reduction in missed appointments.

Training is part of the scope. Reception, clinical and IT staff should practise correcting errors, checking records, protecting information and using manual fallbacks. Readiness depends on the workflow and staff assessment, rather than a fixed number of training hours.

A request for a person should follow a practice-approved handover route. Confirm staffed hours, transfer capability and what happens when no one is available, such as a callback request. A transfer cannot be promised at every hour unless the staffed service and telephony setup support it.

A reminder workflow can offer confirmation, cancellation and rescheduling through the channels the practice approves. Set timing and frequency around patient preferences and measure attendance against the practice baseline. No fixed reduction in no-shows or revenue increase is promised.

Data handling depends on the selected hosting, communications and AI providers and their contracts. Some services may process information overseas or use subprocessors. Map recipients, locations, access, retention, deletion and model-training settings before using patient data. Australian-only processing and no third-party sharing are not assumed; the practice must review the proposed arrangement.

Language support depends on the selected model, voice service and workflow. Test required languages with suitable reviewers, including names, dates and requests for help. Use an appropriate human interpreter for clinical communication where required; AI language support does not replace that assessment.

Costs depend on the agreed workflow, integrations, usage and support. Include setup, maintenance and human review in the business case, and separate staff capacity from cash savings. Request a scoped quote and measure a pilot before estimating payback; no standard ROI period applies to every practice.

Support hours, response targets, updates and review frequency are specified in the proposal. Agree who responds to failures and how the practice continues bookings and care while a service is unavailable. Round-the-clock technical or clinical support is not included by implication.

A scoped tool can extract information from authorised referrals and forms, classify documents or prepare a draft. Compare outputs with the source and route them to the appropriate reviewer. Clinical interpretation, test-result action and final medical records require qualified clinician review and approval.

A pilot can target repeated appointment enquiries, reminders or document routing. Measure completed work, correction rates, staff review effort and patient feedback. Any efficiency gain depends on the workflow and actual use; it should not be presented as a fixed number of hours saved.

A demonstration or limited pilot can be scoped around a proposed workflow. Use synthetic or appropriately authorised data, agree any fees and define the acceptance criteria before starting. A pilot does not imply a free trial or a commitment to a full rollout.