About

Intelligent Mind® Institute

A structured, credentialled pathway for health professionals to build practical AI capability — designed for the clinical environment, delivered under Intelligent Mind® Pty Ltd.

What you leave with

Designed around outcomes, not exposure

Every session has a deliverable. By the end of the series, participants have a body of evidence — built from their own practice — that is ready for CPD portfolio submission or college audit.

1

A named framework you can teach as well as use.

The Diagnostic Prompt is the anchor method of this series — a structured approach that has participants let AI interrogate their thinking before asking it to act. Grounded in Socratic coaching methodology and the clinical parallel of structured history-taking. By the end of Week 1, participants have applied it to a genuine clinical problem from their own practice and recorded what it changed.

2

Working AI workflows — built, tested, and demonstrated.

Every self-directed session has participants build and test something in their own clinical environment. By the capstone, they have at least one no-code workflow automation running with real data — demonstrated live to peers, measured for impact, and documented as part of their CPD evidence package. Not a workshop handout. An actual output.

3

A specific, practical map of the Australian clinical AI environment.

Which tools work on locked-down hospital computers. Which require a personal device. What the Australian Privacy Principles and My Health Record obligations require. How to operate within — and advocate for — local AI governance frameworks. Participants leave with a clear, actionable picture of what they can actually deploy from the week they finish.

Programme Director

R

Dr Rajan Kailainathan

MBBS (Hons), FACEM, FRCEM, AFRACMA

Fellowship — Australasian College for Emergency Medicine · Royal College of Emergency Medicine UK · Associate Fellow, Royal Australasian College of Medical Administrators
MIT xPRO Certificate — Artificial Intelligence in Healthcare (2025)
Builder — Intelligent Roster · Intelligent Helix (in development)

I'm an emergency physician. I still work clinical shifts, and for a long time I was drowning in the same documentation and administrative burden that most of my colleagues are carrying right now.

I started using AI tools to solve real problems in my own practice — not out of curiosity, but out of necessity. What I found was that most clinicians who tried the same thing hit the same wall: the tools are capable, but nobody had shown them how to use them well for clinical work.

That's why I built this programme.

But documentation was just the start. I also use AI to audit clinical data at a scale that simply wasn't possible before. Health services accumulate years of information — patient presentations, outcomes, process variations, quality signals that never got followed up — and most of it has never been properly interrogated. Not because it wasn't valuable, but because the volume made it impractical. AI changes the economics of that analysis. Patterns that would have taken months of manual review now surface in hours. Findings that were invisible because the dataset was too large to read are suddenly tractable. That capability — using AI to ask real questions of your own clinical data — is a core part of what I teach.

I use AI for deep research — synthesising literature across dozens of sources in the time it used to take to read one paper properly. In a field that moves as fast as health AI, that matters. I can actually stay current. And I use it to create teaching content: structuring a session, building case scenarios, stress-testing an explanation against a sceptical audience before I stand in front of one. AI has made me a more effective educator — not by writing my slides for me, but by compressing the thinking time between an idea and a well-constructed lesson.

Outside clinical practice, I build health AI products. Intelligent Roster automates workforce scheduling for health services. Intelligent Helix is an institutional knowledge assistant that answers operational and policy questions drawing only from a health organisation's own approved documents, with citations provided for every response. These aren't side projects. They're how I stay close to what actually works in health system environments, and they directly shape how I teach.

I hold fellowship of the Australasian College for Emergency Medicine and the Royal College of Emergency Medicine UK, and am an Associate Fellow of the Royal Australasian College of Medical Administrators. I completed the MIT xPRO Certificate in Artificial Intelligence in Healthcare in 2025.

Intelligent Mind® Pty Ltd · ABN 91 691 526 351 · [email protected]

Safe clinical use

Compliance is curriculum, not a disclaimer

Safe and compliant use of AI isn't covered in a slide at the end. It is the operating framework every practical exercise is built around — from the first session to the capstone reflection.

Patient data stays de-identified — in every exercise.

All tasks in this series use anonymised scenarios or participant-supplied de-identified cases. Participants learn why this is non-negotiable, not just that it is.

Participants practise verifying AI output — not accepting it.

Every documentation and content task includes a structured review step. The series teaches a three-step verification protocol so participants leave with a repeatable method, not just an instruction to "check the output".

Accountability is addressed directly.

The documentation session covers exactly what it means to sign a note that AI helped draft. The capstone reflection asks participants to articulate their professional accountability in their own words — on the record, as part of the CPD evidence package.

Hospital IT restrictions are a teaching point, not a footnote.

Participants leave knowing which tools are available on locked-down hospital systems, which require a personal device, and how to work within local AI governance frameworks — including how to advocate for appropriate access.

Australian Privacy Principles, My Health Record obligations, and data residency considerations are covered explicitly in IMI-01 Hour 3.

CPD Structure

CPD Accreditation Pending

Each course is structured across three recognised CPD categories. Hours are self-claimable for most clinical college CPD frameworks. ACEM formal accreditation is currently pending.

CourseEA hrsRP hrsMO hrsTotal

Foundations

AI-Augmented Practice

4228

Practitioner

Applied AI Fluency

5218

Architect

AI Architecture for Health

5128
Series total145524

EA = Educational Activities · RP = Reviewing Performance · MO = Measuring Outcomes. CPD categories are self-claimable under most Australasian clinical college frameworks.

Tools Covered Across the Series

All tools taught using a task-first framework.

Claude (Anthropic)

Reasoning, writing, The Diagnostic Prompt, long documents

All 3

ChatGPT / GPT-4o

Broad clinical tasks, comparison baseline

Foundations, Practitioner

Gemini Deep Research

Multi-source literature synthesis with citations

Practitioner

NotebookLM (Google)

Personal clinical knowledge base, guideline querying

Practitioner

Perplexity AI

Real-time cited answers to on-shift clinical questions

Foundations, Practitioner

Microsoft Copilot

Excel audit analysis, PowerPoint — hospital IT-approved

Practitioner, Architect

AI Ambient Scribing

Clinical documentation, consultation capture

Foundations

Make.com

No-code workflow automation, agentic workflows

Foundations, Architect

Common questions

Getting Started
What is the Intelligent Mind Institute?

Intelligent Mind Institute is the education division of Intelligent Mind® Pty Ltd (ABN 91 691 526 351), an Australian company founded by Dr Rajan Kailainathan — a practising emergency physician with dual fellowship of the Australasian College for Emergency Medicine (FACEM) and the Royal College of Emergency Medicine UK (FRCEM). The Institute delivers structured, clinically grounded AI education for health professionals, built by a clinician who uses these tools in active practice.

Who is this programme designed for?

Working health professionals who carry documentation, administrative, and knowledge management burdens in their daily practice. The primary audience is emergency physicians and hospitalists, but the curriculum applies across general practice, nursing, allied health, research, and academic medicine. If your clinical work involves documentation, referrals, audit data, evidence synthesis, or patient communication — this programme is relevant to you.

Which programme should I start with?

If you have never used AI tools systematically in your clinical work, start with IMI-01. If you already use AI tools regularly and confidently, contact us at [email protected] — the programme director will assess whether direct entry at IMI-02 is appropriate. IMI-03 requires completion of IMI-02 or demonstrated equivalent capability.

Do I need any prior AI experience?

Not for IMI-01. No prior AI experience is assumed and no technical background is required. Participants who have never opened an AI tool and participants who use AI occasionally but unsystematically are equally well-served. For IMI-02 and IMI-03, prior AI experience is expected — see the prerequisites for each programme.

Prerequisites & Entry
Do I need to complete IMI-01 before enrolling in IMI-02 or IMI-03?

IMI-02 requires IMI-01 or demonstrated equivalent experience. IMI-03 requires IMI-02 or equivalent. If you are already using AI tools regularly and confidently in your clinical practice, contact us at [email protected] — direct entry is assessed individually by the programme director and granted where capability is demonstrated.

How is direct entry assessed?

The programme director will have a brief conversation with you about your current AI tool use, your experience with structured prompting, and your comfort working independently with AI tasks. There is no formal test. The goal is to confirm you won't be left behind in a programme that assumes prior capability — not to create barriers.

I completed a different AI course. Does that count toward entry?

It may. Contact [email protected] with details of what you've completed. The programme director assesses equivalency individually. Formal accreditation of the prior course is less important than demonstrated practical capability.

Registration & Payment
What happens immediately after I register?

You get instant access to the Diagnostic Prompt Training Module (video and PDF workbook), a welcome video from Dr Rajan, your pre-cohort preparation guide, and a tax invoice. Your portal account is created automatically and your cohort schedule is confirmed.

What payment methods are accepted?

Payment is processed securely via Stripe. All major credit and debit cards are accepted.

Can I get an invoice for my records?

Yes. A tax invoice is issued automatically on registration — attached to your confirmation email and available for download from your portal at any time. Many participants submit this to their employer or professional development fund for reimbursement independently.

Is there a bundle discount for completing all three programmes?

Yes. A full series bundle (IMI-01, IMI-02, and IMI-03) is available at a reduced price. See the programme pages for current pricing. Early bird pricing is also available for a limited period before each cohort closes.

What is your refund policy?

Tiered refund based on time from cohort start: 100% more than 3 months before, 50% between 1 and 3 months before, non-refundable within 1 month. We offer a free transfer to any future cohort within 12 months as the first option before a cash refund. If IMI cancels a cohort, you receive a full refund or free transfer regardless of timing. Australian Consumer Law guarantees are preserved. Contact [email protected] and see /terms#refunds for the full policy.

How the Programme Works
How is the programme delivered?

Each programme runs over four weeks. Each week includes one live online session (60 minutes via Zoom) and one self-directed hour completed independently. Total commitment is eight hours per programme — four live sessions and four self-directed hours.

What is the time commitment per week?

Approximately two hours per week — one live session and one self-directed hour. The self-directed hours are structured around real tasks from your own clinical practice, so the time is productive rather than abstract.

What happens in the self-directed hours?

Each self-directed hour is a structured activity tied to the preceding live session. You apply what you learned to a real task from your own practice, then write a structured reflection responding to four specific prompts. Reflections are submitted to the programme director and reviewed by faculty. They form the core of your CPD evidence package.

How long do I have to submit my reflection after each self-directed hour?

Reflections should be submitted within 48 hours of completing the activity. This keeps the reflection genuine and connected to the actual experience rather than reconstructed from memory days later.

What if I can't attend a live session?

All live sessions are recorded and available in your portal within 48 hours. Recordings exist for genuine clinical commitments — not as a default pathway. The certificate of completion requires engagement with at least 6 of the 8 sessions (live or via recording) and all four written reflections submitted. Participants who engage live consistently report richer learning from the peer discussion that recordings cannot replicate.

How large are the cohorts?

Cohorts are deliberately small — a maximum of 20 participants. This allows genuine peer discussion in live sessions and meaningful faculty review of every reflection. It is not a broadcast lecture series.

The Diagnostic Prompt
What is the Diagnostic Prompt?

The Diagnostic Prompt is the signature framework of this series. Before asking AI to produce anything, you learn to let AI interrogate your thinking — surfacing assumptions, constraints, and blind spots that would otherwise produce weaker outputs. Grounded in Socratic coaching methodology and the clinical parallel of structured history-taking, it is a repeatable pre-task method that improves AI output quality and sharpens your own thinking simultaneously. It is introduced in IMI-01 and applied to progressively complex problems across IMI-02 and IMI-03.

Do I need to understand the Diagnostic Prompt before the programme starts?

No — it is taught in Week 1, Hour 1 of IMI-01. However, participants receive the Diagnostic Prompt Training Module (video and PDF workbook) immediately on registration, four weeks before the cohort starts. Working through it before Week 1 accelerates your learning considerably.

Tools, Software & Technology
What tools are taught in this programme?

Across the three programmes: Claude (Anthropic), ChatGPT/GPT-4o (OpenAI), Gemini Deep Research (Google), NotebookLM (Google), Perplexity AI, Microsoft Copilot in Excel and PowerPoint, AI ambient scribing tools, and Make.com for workflow automation. Teaching is task-first — we identify what needs to be done clinically, then show which tools handle it best, with explicit acknowledgement that the landscape evolves.

My hospital IT blocks Claude, ChatGPT, and other AI platforms. Can I still participate?

Yes — and this is taught explicitly, not treated as a footnote. We teach parallel workflows for personal devices (Claude, ChatGPT, Gemini, NotebookLM, Perplexity) and locked-down hospital computers (Microsoft Copilot in Microsoft 365). Every demonstration that uses a personal-device tool includes the equivalent hospital workflow — so you leave knowing exactly what you can use today, in the environment you're actually in, and with clear language for advocating appropriate AI access within your institution.

Do I need to pay for any of the AI tools?

The programme is designed around paid tiers of the core tools, and this is intentional. Paid tiers unlock the capabilities — longer context, deeper reasoning, better outputs — that make the workflows worth learning. Free tiers exist and can be used where needed, but the experience and output quality will be more limited. We are transparent about this throughout the programme rather than designing around constraints that would limit what you can actually do in practice.

Do I need to install any software?

Some sessions do require software installation beyond a web browser, and we want to be upfront about this. Depending on which programme you complete and which environment you work in, you may need to install add-ins such as Claude for Excel, Copilot for Excel, GPT for Excel, and their equivalents for PowerPoint. IMI-03 introduces Claude Desktop and Codex for AI-assisted tool development. Installation instructions are provided in advance of the relevant sessions and are straightforward — no technical background is required. If you have IT restrictions on your work device, a personal laptop is sufficient for all installations.

Data, Privacy & Safe Practice
Can I use real patient data in the programme exercises?

No — and this is the right way to work with AI in clinical practice, not just a rule to follow. All exercises use synthetic or de-identified data, and building that habit is a deliberate part of the curriculum. Consumer AI platforms are not appropriate environments for identifiable patient information — the reasoning behind this is taught clearly so you understand it, not just comply with it. Your institution and jurisdiction provide the specific guidance; the programme gives you the principles that apply everywhere.

I work outside Australia — does this programme cover data protection in my jurisdiction?

Yes. The principles the programme teaches — working with de-identified data, building verification habits, knowing when to escalate — transfer across every major framework. The specific rules differ by jurisdiction and institution; the underlying clinical reasoning discipline does not. We teach you the principles; you apply them in your context.

How deeply does the programme cover AI governance?

The programme teaches safe, responsible AI use throughout — this is embedded in every workflow, not added as a compliance module. We introduce the major governance frameworks, teach you to recognise when a boundary requires institutional or jurisdictional guidance, and build the habit of escalating appropriately rather than proceeding with uncertainty. What we don't do is teach governance as a discipline in itself. This is an AI fluency programme. Comprehensive governance, legal compliance, and institutional policy remain the responsibility of each participant, their institution, and their jurisdiction. Our role is to ensure you understand the principles clearly enough to work responsibly within whatever framework applies to you.

What is the programme's position on AI replacing clinical judgment?

AI in this programme is consistently framed as augmenting clinical reasoning, not replacing it. Every workflow taught includes a human review step. The Diagnostic Prompt itself is premised on sharpening your thinking before AI produces anything. The programme teaches clinicians to be more capable — not more dependent.

CPD & Accreditation
Is this programme formally accredited for CPD?

The programme is structured for ACEM CPD submission across three categories: Educational Activities (EA), Reviewing Performance (RP), and Measuring Outcomes (MO). Formal accreditation is currently being finalised. Each programme provides 8 CPD hours. Completing the full series of three programmes provides 24 hours — structured to satisfy ACEM's annual minimums across all three categories.

Is this programme recognised for CPD outside Australia?

Formal accreditation is being finalised with ACEM. Participants outside Australia should check with their relevant college or professional body — most accept structured learning activities with documented outcomes toward their CPD requirements. We provide every participant with a signed facilitator verification letter, attendance confirmation, and completed reflections, which together constitute the evidence package most colleges require for self-directed CPD submission. Contact your college's CPD team with these documents if you are uncertain about eligibility.

What CPD evidence do I receive?

On completing all sessions and submitting your four structured reflections, you receive a Certificate of Completion from Intelligent Mind Institute, a signed facilitator verification letter confirming your CPD hours and category breakdown, and your four approved reflections. Together these form a complete CPD evidence package for portfolio submission. Records are retained by Intelligent Mind® Pty Ltd for a minimum of three years.

What if my reflection is returned rather than approved?

Faculty will return a reflection with specific written feedback explaining what is missing. Returned reflections can be revised and resubmitted. The standard is not difficult to meet — reflections need to be specific to your own practice, based on genuine attempts at the tasks, and substantive enough to constitute credible CPD evidence. Generic or abstract responses that could have been written without doing the activity are returned.

About the Programme Director
Who delivers the programme?

Dr Rajan Kailainathan — MBBS (Hons), FACEM, FRCEM, MIT xPRO Certificate in Artificial Intelligence in Healthcare. A practising emergency physician holding dual fellowship of the Australasian College for Emergency Medicine and the Royal College of Emergency Medicine UK. The programme is delivered under Intelligent Mind® Pty Ltd (ABN 91 691 526 351).

Can I contact Dr Rajan directly?

Yes. Email [email protected] — Dr Rajan reads every message. Questions about programme content, direct entry assessment, and exceptional circumstances are all handled personally.

Questions? [email protected] · Terms of Service · Privacy Policy

Questions before enrolling?

Reach out directly or view the programme that interests you most.