πŸ₯ Self-Paced Online AHPRA Obligations Covered

AI with Claude for Health & Medical Professionals

Reduce your documentation burden, improve patient communications, and synthesise clinical information faster β€” with strict privacy and AHPRA guardrails built into every exercise.

Self-Paced OnlineA$499 Β· ~11 h
In-Person Workshop$800 / person
In-House$9,500 on-site

Who This Course Is For

Built for health practitioners who are drowning in documentation and administrative work. If you're spending more time at a keyboard than with patients, this course is for you.

Every exercise is grounded in real clinical and administrative scenarios β€” referral letters, patient information sheets, discharge summaries, recall notices β€” with strict patient privacy protocols enforced throughout.

GPsSpecialistsNurses Allied HealthPractice Managers Hospital AdministratorsHealth Executives

By 5pm, You Will Be Able To…

1

Draft referral letters, discharge summaries, and clinical correspondence faster and more consistently

2

Write patient-facing materials in plain, accessible language β€” recalls, information sheets, after-visit summaries

3

Synthesise clinical literature and guidelines efficiently without compromising accuracy

4

Apply strict patient de-identification practices before using any AI tool

5

Understand My Health Record Act, Privacy Act, and AHPRA obligations as they apply to AI tools

6

Leave with a peer-reviewed Clinic-Ready Pack β€” referral, summary, and patient-education templates plus a 5-prompt library, built from your own (de-identified) practice

Full Day Agenda

All exercises use de-identified or fictional patient scenarios β€” strict privacy protocols throughout.

β˜• 8:30am β€” Registration & Welcome
Session 1
Foundations for Health Professionals
9:00–10:15
  • How Claude works β€” not a clinical database, not a diagnostic tool
  • What Claude knows vs. what it doesn't (training cutoff, PBS/MBS/TGA)
  • The RCTF framework for clinical documentation
  • Critical rule: My Health Record data NEVER goes into any AI tool
  • De-identification: the minimum standard for health data
β˜• 10:15am β€” Morning Tea
Session 2
Clinical Documentation
10:30–12:00
  • Referral letters: structure, language, and specialist expectations
  • Discharge summaries and transfer of care documents
  • Clinical notes β€” when AI helps and when it doesn't
  • Medical certificate text and work capacity assessments
  • Batch technique: 10 referral letters from structured templates
🍽️ 12:00pm β€” Lunch (included)
Session 3
Patient Communication
1:00–1:50
  • Patient information sheets and procedure explainers
  • Plain-English translations of clinical language
  • Recall and reminder letters (cervical screening, chronic disease review)
  • After-visit summaries and follow-up instructions
Session 4
Research & Literature Synthesis
1:50–2:30
  • Summarising clinical guidelines and systematic reviews
  • Generating patient FAQs from clinical papers
  • Drug interaction explanations in plain language
  • Always verify: Claude's clinical knowledge has a cutoff
β˜• 2:30pm β€” Afternoon Tea
Sessions 5–6
Compliance, Privacy & Workflow
2:45–4:20
  • Privacy Act health records β€” sensitive information protections
  • My Health Record Act: the hard boundary for AI tools
  • AHPRA obligations and AI-generated clinical content
  • Mandatory reporting β€” what Claude can't help you decide
  • Practice workflow: where Claude fits in your day
Session 7
Capstone: Clinic-Ready Pack & Certification
4:20–5:00
  • Assemble your Clinic-Ready Pack: referral template, discharge/summary template, patient handout, recall letter, and 5-prompt library β€” all from your own (de-identified) practice
  • Peer-review checklist, including the de-identification hard gate, before submission
  • Capstone showcase β€” volunteers present one artifact to the room
  • Certificate of Completion backed by an assessed capstone (7 CPD hours β€” confirm recognition with AHPRA and your college)

Sample Prompts You'll Build & Use

All use fictional or de-identified patient scenarios β€” as required for all AI use in health settings.

Referral Letter
You are a GP writing a specialist referral letter.

Context: Patient (de-identified) β€” 45-year-old female, 6-week progressive dysphagia, no weight loss, PMH: GORD, currently on omeprazole 20mg daily. Reason: exclude malignancy, consider endoscopy.

Task: Draft a referral letter to a gastroenterologist.

Format: Standard referral structure. Clinical but readable. Flag any information I may have omitted that a specialist would typically need.
βœ“ Result: Professional referral ready for GP review before sending
Patient Information Sheet
You are a health communicator at an Australian GP clinic.

Context: Patients preparing for a colonoscopy β€” general public, mixed health literacy.

Task: Write a patient information sheet about colonoscopy preparation. Include: what to expect, how to prepare, warning signs, when to call us.

Format: Warm, plain language. Short paragraphs. Bullet points for steps. Under 300 words. No medical jargon.
βœ“ Result: Accessible patient resource β€” ready for GP review
Plain-English Translation
You are a health communicator helping patients understand their letters.

Context: Patient has received a clinical letter with technical language they don't understand.

Task: Rewrite this letter in plain English for the patient to read:
"Patient presents with benign paroxysmal positional vertigo secondary to canalith displacement. Conservative management with Epley manoeuvre performed with good effect."

Format: Conversational, reassuring. Under 100 words.
βœ“ Result: Patient-friendly translation in seconds
Recall Notice
You are a practice manager at an Australian GP clinic.

Context: Patients who are overdue for cervical screening β€” general adult population.

Task: Draft a recall letter for patients overdue for cervical screening.

Format: Friendly, non-alarmist tone. Explain why it matters. How to book. Under 150 words. Leave [CLINIC NAME] and [BOOKING PHONE] as placeholders.
βœ“ Result: Recall notice that's warm, informative, and action-oriented

Privacy & Clinical Guardrails

Health data is among the most sensitive personal information. We treat its protection as non-negotiable.

β›”

My Health Record β€” Never

My Health Record data must NEVER be entered into any AI tool under any circumstances. This is a hard legal boundary under the My Health Records Act 2012.

β›”

No Real Patient Data

No real patient names, DOBs, Medicare numbers, IHI numbers, diagnoses, or identifying details β€” ever. Replace with: [PATIENT], [DOB], [MEDICARE NO], [CONDITION].

πŸ₯

Claude is Not a Diagnostic Tool

Claude cannot diagnose, prescribe, or replace clinical judgement. All clinical content generated must be reviewed by a registered health practitioner before use with or for patients.

πŸ“‹

AHPRA Professional Standards

AHPRA-registered practitioners are responsible for all content they use with patients β€” regardless of how it was drafted. Claude drafts; you review, verify, and take professional responsibility.

⚠️

Training Cutoff β€” Clinical Caution

PBS listings, TGA approvals, clinical guidelines, and drug interactions change regularly. Always verify clinical content against current sources (MIMS, eTG, RACGP guidelines, TGA.gov.au).

πŸ”’

Privacy Act β€” Sensitive Information

Health information is sensitive information under the Privacy Act 1988, attracting higher protections. De-identification is the minimum β€” ideally use entirely fictional scenarios for training.

Pricing

Public Workshop
$800per person

Join a Scheduled Course

Open to all health professionals and health administrators.

  • Scheduled in major cities Australia-wide
  • All health professions welcome
  • Catering included throughout the day
  • Printed workbook & digital prompt library
  • Certificate
Enquire About Dates

Spend less time at the keyboard. More time with patients.

Book a public course or bring Claude Training School to your practice.