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AI Patient Intake

From Clipboard to Conversation

Before

12 minutes average completion
High error rate on paper forms
Forms abandoned before finish
8 minutes staff re-entry time

After

3 minutes by phone conversation
Low error rate with AI validation
High completion - no forms to quit
Seconds to enter, direct into Cliniko and Splose

The Paper Problem

Every Australian healthcare practice still using clipboard intake forms is bleeding time, accuracy, and patient satisfaction. Here are the numbers your practice manager already suspects.

12 min

Average completion time

New patients spend 12 minutes filling out paper forms in the waiting room - time that delays appointments and backs up your schedule.

High

Error rate on paper forms

Many paper intake forms contain at least one error: illegible handwriting, skipped fields, incorrect Medicare numbers, or outdated medication lists.

Common

Abandonment rate

Plenty of patients give up partway through lengthy paper forms, leaving your staff to chase missing information by phone after the appointment.

8 min

Staff re-entry per patient

After the patient hands back the clipboard, your reception staff spends another 8 minutes deciphering handwriting and typing the data into your PMS.

How Data Flows From Patient to Practitioner

A pipeline that replaces clipboards and cuts data entry and chart prep. Click any node to see exactly what happens at each stage.

The patient calls your clinic. The AI can greet returning patients by name where the booking system allows a caller ID lookup (Cliniko and Splose today). For new patients, the AI introduces itself and explains that it will collect their registration details conversationally. No app download, no portal login, no PDF to print - just a natural phone conversation.
The AI checks the Medicare number format and reads the details back to the patient to confirm. It records allergies and current medications as the patient states them for clinical staff to review, and confirms consent for the privacy collection notice and My Health Record participation. Every response is validated before moving to the next question - no blank fields, no invalid dates, no typos in medication names.
In Cliniko and Splose, the booking and patient details go straight in. For Best Practice, MedicalDirector and other clinical systems, the completed intake (demographics, Medicare details, emergency contacts, medical history, allergies and current medications) arrives as a tidy summary that reception enters in a few seconds, with direct entry once the vendor allows it. Nobody deciphers handwriting.
The practitioner receives a complete patient summary before the appointment begins. Allergies and medications are highlighted, and the reason for the visit is up front. The practitioner walks into the consultation fully informed, saving 5-8 minutes of chart review per new patient and reducing the risk of missed allergy alerts.

6 Intake Types, One AI System

From straightforward new patient registration to complex pre-operative assessments, the AI adapts its question flow and validation rules to each intake type.

Full demographic capture, Medicare card details, emergency contacts, medical history, allergies, current medications, and consent collection. The AI handles the entire intake conversationally, validating each field in real time. Only complex multi-condition histories or rare medication combinations are flagged for clinical review.
The AI confirms who the patient is and asks only about changes since the last visit. Address updates, new medications, changed emergency contacts, and insurance renewals are captured in under 90 seconds. Unchanged fields are confirmed with a simple "still the same?" rather than re-entering every detail.
Captures referring GP details, referral reason, relevant test results, and specialist-specific intake questions. The AI cross-references the referral letter (if pre-uploaded by the referring practice) with the patient-reported history to flag discrepancies. Complex referrals with multiple comorbidities are routed to the intake nurse for review.
Collects surgical history, anaesthesia reactions, current medications (especially anticoagulants and diabetes medications), fasting compliance, and transport arrangements. The AI flags high-risk patients (ASA 3+) for anaesthetist review. Post-operative care arrangements and consent for the specific procedure are confirmed verbally and timestamped.
Gathers GP Mental Health Care Plan details, current psychological support arrangements, medication history, and presenting concerns at a high level. The AI uses a gentle, unhurried conversational style and avoids clinical probing - detailed assessment remains with the treating psychologist or psychiatrist. Safety screening questions are included with appropriate escalation protocols.
Collects parent or guardian details alongside the child patient record. Immunisation history, developmental milestones, and school information are captured. The AI verifies the legal guardian relationship and obtains consent from the responsible adult. Medicare details under the parent card are captured with the correct IRN for the child.

Privacy & Compliance Built In

Healthcare data is the most sensitive category under Australian law. Our AI intake system is designed from the ground up to meet every regulatory requirement your practice faces.

Australian Privacy Principles (APP)

  • APP 1: Open and transparent management of personal information - the AI delivers your collection notice verbally at the start of every intake call
  • APP 3: Collection of solicited personal information - only data necessary for treatment is collected, with clear purpose statements
  • APP 5: Notification of collection - patients are informed of who will access their data, how it will be stored, and their rights
  • APP 11: Security - all data is encrypted in transit (TLS 1.3) and at rest (AES-256), with access logging for audit trails

My Health Record Questions

  • The AI asks about My Health Record participation and records the patient's stated preferences
  • The answers go to reception with the rest of the intake, ready to enter
  • Any access to My Health Record itself stays inside your clinical software, done by your staff
  • Every intake call is logged, so you can show what each patient was told and what they agreed to

RACGP Accreditation Standards

  • Standard 1: Communication and patient participation - the AI supports informed consent and patient engagement through conversational intake
  • Standard 4: Practice systems for patient information management - complete audit trails, secure storage, and systematic data handling
  • Standard 5: Practice environment - accessible intake for patients with hearing difficulties, language barriers, or mobility limitations
  • The AI generates accreditation-ready documentation including consent records, collection notices, and data handling logs

PMS Compatibility

What works with each system today. We book directly into Cliniko and Splose. For Best Practice, MedicalDirector and Genie, the AI works alongside your system and hands reception a booking and intake summary ready to enter. We connect directly wherever the vendor allows it.

PMS SystemCall AnsweredIntake CollectedSummary to ReceptionDirect Booking
Cliniko
YesYesYesYes
Splose
YesYesYesYes
Best Practice
YesYesYesVia reception
MedicalDirector
YesYesYesVia reception
Genie
YesYesYesVia reception
Zedmed
YesYesYesCheck in discovery
Yes: works today
Via reception: ready to enter, direct once the vendor approves
Check in discovery: open API, direct where the practice switches it on

The ROI Equation

Patient intake is one of the most labour-intensive administrative tasks in any healthcare practice. Here is what it actually costs you - and what AI recovers.

Annual Time Cost

12 min
per intake
×
30
patients/day
×
5
days/week
×
48
weeks/year
=
1,440 hrs
per year

Dollar Impact

Total Staff Cost
$50,400
1,440 hrs × $35/hr
AI Handles 85%
$42,840
saved annually
Staff Hours Recovered
1,224
hours for patient care

Beyond the Dollar Savings

Far fewer

Error Reduction

Fewer mistyped Medicare numbers, fewer incomplete referrals, fewer missed allergy details.

Higher

Patient Satisfaction

Patients prefer a quick phone call over a long clipboard. First impressions set the tone for the relationship.

5-8 min saved

Practitioner Prep

Complete patient summaries arrive before the consultation. No more chart scrambling in the first 5 minutes.

Frequently Asked Questions

Common questions from practice managers, clinicians, and IT teams evaluating AI patient intake.

The AI checks the Medicare number has the right format (10-digit card number plus IRN) and reads it back to the patient to confirm, so transcription errors are caught on the call. It does not look the card up with Medicare: eligibility checks stay with your practice software and staff. DVA and concession card numbers are captured and read back the same way. Anything that fails the format check is queried with the patient straight away.
Yes. Our AI intake agent supports conversational intake in over 20 languages commonly spoken in Australian communities, including Mandarin, Cantonese, Vietnamese, Arabic, Hindi, Greek, and Italian. The AI detects the preferred language from the patient greeting and switches automatically. All collected data is translated to English for your practice records.
The AI is trained to handle multi-condition histories, medication lists, and allergy cross-referencing. For straightforward cases, it completes intake autonomously. When it encounters complexity beyond its confidence threshold - such as rare conditions, contraindicated medication combinations, or safeguarding concerns - it flags the record for clinical review and notifies your practice nurse or intake coordinator. The patient experience stays smooth; they are not aware of the handoff.
The AI delivers your practice-specific privacy statement verbally and records the patient verbal consent with a timestamp. It covers collection notice requirements under the Australian Privacy Principles, My Health Record opt-out confirmation, and any practice-specific consent items you configure. Consent records are timestamped, kept with the intake summary and passed to your practice for the patient file, so they are auditable for RACGP accreditation.
Yes. The AI confirms the patient by name and date of birth, and in Cliniko or Splose it finds the existing record as part of booking. Instead of running through the full intake, it asks only about changes: new address, updated emergency contact, new medications, or changed insurance details. This update call takes under 90 seconds on average, compared to the paper "please check and update" forms that most patients ignore in the waiting room.
We book directly into Cliniko and Splose today. For Best Practice, MedicalDirector, Genie and other clinical systems, the AI works alongside your system: it takes the call, collects the intake and passes reception a summary ready to enter in a few seconds. Zedmed has an open API, so we can connect directly where the practice switches on API access. We confirm what your system allows in discovery and connect directly wherever the vendor allows it.
Scoped Setup

Modernise Your Patient Intake

Replace clipboards with conversations. Your patients complete registration by phone in 3 minutes, and the details reach reception ready to enter, or go straight into Cliniko and Splose. Timeline confirmed in your written quote.

No lock-in contracts. Works with your existing PMS. Australian data residency guaranteed.