AI for Medical Practices

Limit the assistant to approved practice information, message collection and administrative booking rules. Clinical urgency and appointment suitability require clinical staff. Publish an emergency instruction approved by the practice and provide a direct staff escalation route. Do not rely on an AI assistant to recognise an emergency or decide whether care can wait. Test handovers and failure handling before use.

It depends on the system. We book directly into Cliniko and Splose today. For Best Practice and Medical Director, the assistant works alongside your system: it answers the call, collects the patient details and booking request, and passes a ready-to-enter booking to reception, which takes a few seconds to key in. Direct booking into Best Practice needs Best Practice to approve the connection, and we connect directly wherever the vendor allows it. Genie and other systems work the same way. We confirm what your system allows in discovery.

The AI does not do Medicare billing. It does not choose item numbers, check eligibility with Medicare or lodge claims: that stays with your practice software and staff. It helps with the front end of bulk billing. It tells callers whether and when the practice bulk bills, using the rules you give it, collects new patient details including the Medicare card number, reminds patients to bring their Medicare card, and passes billing questions to reception. Every call is logged and summarised, so staff can see exactly what each patient was told.

An after-hours assistant can share approved practice information and collect administrative messages. It must not be presented as an emergency service or a substitute for clinical triage. Agree the emergency message, staff escalation and fallback route with the practice, then test them. A message or automated notification is not proof that a clinician has received or acted on it.

Agree how patient and practice records may be used before connecting any systems. Review each selected provider, the locations of storage and AI processing, retention, access permissions and any onward transfers. Australian-only handling must be confirmed for the complete data flow in the project agreement. Check the relevant provider security evidence and test the configured controls before live use. The practice must review health-record requirements, patient notices, integration permissions and clinical supervision before approval.

AI understands your practice structure including multiple practitioners with different specialties (GPs, nurses, allied health), varying appointment lengths (standard 15min, long 30min, procedures), practitioner-specific availability and preferences, room allocations, and equipment requirements. It automatically matches patient needs to appropriate practitioners, respects practitioner preferences (e.g., Dr. Smith sees pediatrics), avoids double-booking, and handles same-day urgent appointments. The system learns from your practice patterns and continuously optimizes scheduling efficiency.

Yes, AI streamlines prescription management by collecting patient details and medication information, passing the request to staff to check against the patient record, booking appointments when the practice rules say a review is needed, and notifying doctors of ready-for-approval refill requests. For scripts requiring physical signatures or authority approvals, it guides patients through the correct process. The AI never authorizes prescriptions-it only manages the administrative workflow, with doctors maintaining full clinical control.

An administrative workflow can produce recall lists and reminders from a clinician-approved care plan and schedule. Practice staff must verify due dates, contact preferences, billing eligibility and completed follow-up. The system does not decide clinical care or guarantee improved patient outcomes. Measure recall completion and staff review time during a supervised pilot.

Medical practices typically see 30-42% reduction in reception phone time, allowing staff to focus on in-person patients, 23-38% increase in appointment bookings from after-hours and missed calls, 18-27% improvement in appointment attendance rates through automated reminders, 28-42% growth in CDM and preventative health billing through automated recalls, and 45-62% reduction in DNA (Did Not Attend) rates. Most practices achieve positive ROI within 4-7 months. Solo GP practices save $35,000-50,000 annually in admin costs while multi-GP clinics save $90,000-160,000+.

AI takes on the phone and chasing work around referrals: it handles referral-related calls and messages, follows up with patients to confirm they have booked their specialist appointment, books the post-referral GP follow-up, and keeps a follow-up list staff can check. Referral letters and specialist reports still move through your usual secure messaging and clinical software. For urgent referrals, it flags the call to staff straight away. This cuts referral admin time while patients get proactive updates.

Absolutely. AI is ideal for high-volume bulk billing clinics where phone lines are constantly busy. It handles unlimited simultaneous calls (no busy signals), rapidly takes bookings for standard 10-15 minute appointments, collects patient demographics and Medicare numbers, implements triage to ensure appropriate appointment allocation, and manages walk-in patient queues via SMS notifications. Bulk billing centres typically see 42-58% reduction in reception workload and 30-50% more daily appointments captured.

Implementation follows a 6-11 week timeline: 1-2 weeks for practice assessment, a review of your practice system, and clinical triage configuration, 2-4 weeks for AI receptionist deployment including phone system setup and staff training, and 3-5 weeks for recall reminders and CDM follow-up. The phased approach keeps disruption low: your practice operates normally throughout. The first benefits, such as answered after-hours calls, show up in the first week the phones are live.

AI is designed to know its limitations. When it encounters uncertainty-complex medical questions, unclear symptoms, distressed patients, or system issues-it immediately escalates to human staff with full context of the conversation. You configure escalation rules including which staff receive notifications (reception, practice manager, nurse, doctor), preferred escalation method (transfer, SMS, call, app notification), and priority levels for different scenarios. The AI provides a warm handover, briefing staff on the situation before transfer. Escalation rates typically range from 5-15% of calls, decreasing as the AI learns your practice patterns.

AI reduces DNAs through multi-channel reminder automation: SMS reminders at 48 hours, 24 hours, and 2 hours before appointments with one-click confirmation, automated phone call reminders for patients without mobile phones, email confirmations with calendar invites (iCal/Google Calendar), and intelligent rescheduling for patients who indicate they cannot attend. For chronic DNA patients, it implements special protocols like requiring SMS confirmation or same-day bookings only. Practices typically see DNA rates drop from 10-15% to 3-6%, recovering $15,000-40,000 annually in lost billing.

We provide comprehensive ongoing support including 24/7 technical support for urgent issues (critical for after-hours operation), regular system updates with new features, monthly performance reviews with booking and financial analytics, quarterly workflow optimization sessions to identify improvement opportunities, staff training refreshers and onboarding for new team members, dedicated practice success manager familiar with your operations, and proactive monitoring for issues like high escalation rates or booking failures. Our team includes former practice managers who understand GP workflows and can provide practical advice tailored to your practice.