What AI Actually Is Start from zero: what AI really is, how it learns from examples, the everyday AI you already use, and the buzzwords (ML, deep learning, generative) defined plainly — grounded in pharmacy examples.
How AI Works: Tokens, Context & Prompts The words behind every AI tool, in plain terms — what a token is, what the context window can (and can't) hold, and how the way you prompt changes what you get back. For pharmacists, and useful for every provider.
The Models Out There ChatGPT, Claude, Gemini, open vs closed, and healthcare-specific models — the AI landscape mapped like a formulary, so you can tell the options apart and ask the right questions.
AI in Pharmacy Practice Where AI already touches your day at the pharmacy — interaction and dosing alerts, dispensing and verification, counseling and MTM notes, adherence prediction — and where it shows up across the rest of the care team you work with.
Regulation & Compliance What HIPAA, your state board of pharmacy, and the FDA ask of you and your pharmacy when AI is in the mix, and what "cleared" really means — for pharmacists, and useful for every provider.
Risks, Ethics & Bias Medication errors, alert fatigue, hallucinations, automation bias, fairness, and keeping a pharmacist — and the prescribers and care teams you work with — in the loop.
Evaluating an AI Tool The questions you ask before bringing a pharmacy AI tool into your workflow — a checklist for pharmacists that every provider can reuse.
Glossary & Reference Quick definitions for the terms you will keep hearing at the pharmacy and across the care team, plus where to go deeper.