My Skill Lab
Artificial IntelligenceBeginner

AI for Healthcare Professionals

Clinical documentation, triage support and safe AI use in care.

Taught by Saroj · Founder, My Skill Lab

What you'll learn

  • Explain what language models and other clinical AI tools can and cannot reliably do
  • Review and correct an ambient scribe's draft note before signing it
  • Write grounded prompts that summarise records without exposing identifiable data
  • Spot bias, missing context and automation bias in triage and decision-support output
  • Apply HIPAA, GDPR and consent principles to patient data in AI tools
  • Evaluate a healthcare AI product's intended use, regulatory status and evidence

About this course

AI for Healthcare Professionals is a practical, beginner-friendly course for doctors, nurses, allied health professionals, practice managers and clinical students who want to use artificial intelligence safely in everyday care. You will learn what large language models can and cannot do clinically, how ambient AI scribes turn a consultation into a draft note, and how to check AI-generated clinical documentation, record summaries and discharge letters before they reach the patient record. The course also covers AI triage and decision support, plain-language patient communication, and the privacy, consent and regulation basics that apply to patient data, including HIPAA, GDPR and the EU AI Act. You will finish with a checklist for evaluating any healthcare AI tool. No coding or technical background is needed.

Course content

7 lessons
  1. 1How AI Fits Into Clinical WorkThe main types of healthcare AI, what each does well, and why clinical judgement stays in charge.Preview
  2. 2Ambient Scribing and Clinical DocumentationHow ambient AI scribes turn a consultation into a draft note, and how to review one before signing.
  3. 3Summarising Records, Referrals and LettersUse AI to condense long records and draft referrals or discharge letters without losing critical detail.
  4. 4Triage and Decision Support: Signal, Not VerdictHow AI triage and decision-support tools work, why they fail in practice, and how to avoid automation bias.
  5. 5Patient Communication With AIDraft plain-language letters, instructions and message replies with AI while keeping accuracy and empathy.
  6. 6Privacy, Consent and Patient DataWhat patient data may go into an AI tool, which laws apply, and how to de-identify text when you must.
  7. 7Regulation, Governance and Choosing a ToolHow medical AI is regulated and a practical checklist for evaluating a tool before it reaches patients.