AI in healthcare: clinical reports, intake and the hours around the consultation.
For Australian clinics, allied health practices and health providers, AI creates commercial value in the work around the consultation: clinical reports and notes, intake, follow-up and the evidence a regulator expects. It does not pay in diagnosis first, and it has to sit inside the guidance AHPRA and the Safety and Quality Commission have published. Where to start, what it takes, and what has been built.
Updated 23 October 2026 · Mayfly Ventures, Melbourne
The consultation · and the hours around it
A short conversation
What is costing you the most right now?
Choose what sounds closest to your practice. We will show you where we would look first.
Where we would start
Draft to your best practitioner's standard; they review and sign.
The report is written the way your most experienced practitioner writes it, reviewed and signed by the clinician, inside the guidance AHPRA has published.
Built: Virtuosa, clinical reports in about 20 minutes, down from around 4 hours; 25% more clients per psychologist.
Referrals and histories arrive as PDFs and get retyped. Captured once, in the structure the clinician needs, the first appointment starts with the picture already assembled.
Where to start: the intake pack and the practice management system, mapped in the first stage.
Consent, records and the audit trail assembled as the work happens, so an accreditation visit or a complaint is answered from the system rather than from memory.
Where to start: the last accreditation request, in the first stage.
Reports, notes, intake and follow-up are where the hours go, and where a practitioner's standard can be encoded.
The chain of work in a practice. The marked steps are where clinicians lose their hours and where AI solves it first. Never the consultation itself.
Clinical reports and notes. A report drafted to the practitioner's own standard, reviewed and signed by them. Virtuosa takes a psychologist's clinical report from around 4 hours to about 20 minutes, which is how clinics see 25% more clients per psychologist.
Intake and the paperwork before the first appointment. Referrals, histories and consent captured once, in the structure the clinician needs, instead of retyped from a PDF.
Between-session and everyday support. A daily check-in, guided activities and a plan the person actually follows, built on clinical insight. Bloomwise runs this inside one of the UK's largest health providers.
The evidence trail. Consent, records and the audit trail assembled as a by-product of the work, so an accreditation visit or a complaint is answered from the system, not from memory.
Follow-up and recall. The next appointment, the review and the outcome measure prompted from what the record already knows.
02Not firstWhat to leave alone
Three places the risk is yours and the return is not.
Each is pitched to practices every week. None of them pays first.
Diagnosis or treatment decisions. The practitioner remains responsible for what they sign, and the regulators say so. Systems that draft and check pay; systems that decide do not, and should not.
A chatbot in front of patients without a clinician's standard behind it. Confident, generic and unsigned. The reputational risk sits with the practice.
A generic scribe bought before the workflow is mapped. The vendors own that market and their tools assume their templates. The gain comes from the report being written the way your best practitioner writes it.
03The regulatorsAHPRA and the Commission
What the regulators now expect.
AHPRA has published guidance on practitioners' professional obligations when using artificial intelligence, and the Australian Commission on Safety and Quality in Health Care has published a clinical use guide for AI. Both leave the responsibility where it was: with the clinician who signs.
That is a design constraint, not a barrier. A system that drafts to the practitioner's standard, shows its work and makes review fast is easier to sign than a blank page at nine in the evening.
Patient data has to be handled under Australian privacy law, and anything a leader sees has to be anonymised. Both were conditions of the systems below, not afterthoughts.
04BuiltVirtuosa, Bloomwise, Wirl
Built in health: Virtuosa, Bloomwise, Wirl.
Virtuosa AI is a clinical reporting platform for psychologists, founded by psychologist Lisa Irving. The hardest thing was tested first: whether AI could draft a clinically sound report a psychologist would put their name to. Reports now take about 20 minutes, down from around 4 hours, and clinics see 25% more clients per psychologist. Read the Virtuosa case study. Or start with the checklist: what has to be true before a system drafts a clinical report.
Bloomwise is a workplace mental health platform built with two clinicians: a daily check-in, guided activities and a leader view that flags rising stressors early from anonymised signals. It runs inside one of the UK's largest health providers. Read the Bloomwise case study.
Wirl is a dietitian-led wellness app built with the community that asked for it, logging feelings rather than calories, with paid subscribers from release. Read the Wirl case study.
“The Mayfly team held my hand through everything.”Lisa Irving, Founder, Virtuosa AI
05How it worksUnderstand · Deliver · Evolve
How it works for a practice or a provider.
We help established businesses identify where AI can create commercial value, then bring strategy, design and engineering together to deliver it.
Understand, two weeks. We work with the people who run the work day to day: how the business operates, where the knowledge sits, what systems and data exist, and what result would make the investment worthwhile. You leave with a prioritised opportunity, an initial commercial case and a recommended first move.
Deliver. The same commercial case continues through product definition, design and engineering. Your experts stay involved; the system is tested with real users and implemented into the business.
Evolve. Once it is live, it is improved, rolled out to more teams or extended where the next opportunity appears. See the full process, including timing.
Built in health.
Three products, each built on a clinician's standard: reporting, everyday support, and nutrition.
Can I use AI to create a medical or clinical report?
Yes, with conditions. The practitioner reviews and signs every report, the draft follows the practitioner's own structure and language, and patient data is handled under Australian privacy law and AHPRA's guidance. Virtuosa was built on exactly those conditions: a psychologist's standard, applied to every report, in about 20 minutes instead of around 4 hours.
How is AI used in psychology and allied health?
Mostly in the administration around the session: transcription, notes, clinical reports, intake and follow-up. Between sessions, structured check-ins and guided activities built on clinical insight. Not as a replacement for the practitioner, and not for diagnosis. The time it gives back goes to clients: Virtuosa's clinics see 25% more of them per psychologist.
Is a patient-facing chatbot a good first project?
Usually not. The first project should remove hours from clinicians and produce evidence the practice can stand behind. A chatbot speaking to patients carries the practice's name with none of its judgement. Start where the hours are lost; return to patient-facing tools once the clinical standard is encoded.
What about patient data and privacy?
Data stays under Australian privacy law and your own consent arrangements, and anything a manager or leader sees is anonymised. Bloomwise's leader view shows trends, never individuals, which is what made it usable inside a large health provider.
How long does it take to get something working?
The first stage takes two weeks and ends with a decision. With Virtuosa the clinical question was tested against real cases before anything else was designed. A prototype is one sprint; larger design and build work typically runs across 5 to 12 sprints.
Do we need our own IT or data team?
No. You need your best practitioners, because the system is built around how they work. Strategy, design and engineering come from one team on our side, and the result works with the practice management tools you already use.
Bring the report, the intake or the follow-up that eats the week.
In a free 30 minute call we will give you an honest view of where AI could create commercial value in your practice, what a sensible first step looks like and whether we are the right fit. No technical brief needed.
