Yesterday you saw the time-saving potential. Today you're getting set up. By the end of this lesson, you'll have three AI tools ready to go and a clear understanding of how to use them safely in a healthcare context.
The tools are free (or have generous free tiers), they require no technical background, and you can start using them immediately. But before we dive in, we need to address the elephant in the room: patient data and privacy.
Before you touch any AI tool, burn this into your memory: never paste identifiable patient information into a public AI tool. No names, no dates of birth, no MRN numbers, no addresses. Not in ChatGPT, not in Claude, not anywhere that isn't explicitly approved by your organisation's IT and compliance team.
This applies even if you think the data is "de-identified." Unless your organisation has a BAA (Business Associate Agreement) with the AI provider and has approved the workflow, treat every public AI tool as a non-HIPAA-compliant environment.
What you can do safely:
- Use fictional patient scenarios to build and test your prompts
- Use de-identified, generalised clinical details (e.g., "62-year-old male with CKD stage 3b")
- Draft templates that you later fill in with real data inside your EMR
- Ask general medical knowledge questions that contain no patient data
This course teaches you to build prompt templates and workflows using fictional examples. You then apply those templates inside your secure clinical environment.
What it is: OpenAI's conversational AI. The most widely used general-purpose AI tool.
Best for: Drafting clinical notes, patient communication, referral letters, and structured templates.
How to get it: Go to chat.openai.com and create a free account. The free tier (GPT-4o mini) is powerful enough for everything in this course. GPT-4o (paid) is better for complex clinical reasoning but isn't required.
Healthcare tip: Create a dedicated "Healthcare" folder in ChatGPT to keep your clinical prompts organised. You can save prompt templates as conversation starters.
Tool 2 — Claude (your reasoning partner)
What it is: Anthropic's AI assistant. Excellent at nuanced analysis, long documents, and careful reasoning.
Best for: Summarising lengthy patient records, analysing complex cases, and tasks where you need careful, step-by-step thinking.
How to get it: Go to claude.ai and create a free account. Claude's free tier is generous and handles long documents exceptionally well.
Tool 3 — Perplexity (your research assistant)
What it is: An AI-powered search engine that provides sourced answers with citations.
Best for: Looking up clinical guidelines, drug information, recent research, and evidence-based answers with references you can verify.
How to get it: Go to perplexity.ai and create a free account. The free tier gives you ample searches for daily clinical reference.
Here's the approach that makes AI both fast and safe in clinical practice:
Step 1: Build the template in AI — Using a fictional patient, craft your prompt until the output format is exactly what you need. Save this prompt as a template.
Step 2: Apply the template in your EMR — When you have a real patient, fill in the template variables inside your secure clinical system. Many EMRs now support AI-assisted note generation natively.
Step 3: Review and sign — Always read the output. Check for accuracy, hallucinations, and tone. Then sign it as your own work.
This three-step method gives you the speed of AI with the safety of never exposing patient data. It's the workflow we'll use throughout this entire course.
Before tomorrow's lesson, make sure you've completed these steps:
1. Create a ChatGPT account at chat.openai.com — this will be your primary documentation tool
2. Create a Claude account at claude.ai — your go-to for complex reasoning and long documents
3. Create a Perplexity account at perplexity.ai — your sourced research assistant
4. Create a "Healthcare Templates" document — a simple notes file (Google Doc, Notion, or plain text) where you'll save your prompt templates throughout this course
5. Remind yourself of the golden rule — no real patient data in public AI tools, ever
That's it. Three accounts and a document. Total setup time: about 10 minutes. Tomorrow we'll put these tools to work with your first AI-drafted clinical note.