OneRange

AI for Healthcare

This course helps healthcare and clinical-adjacent staff apply AI safely within their workflows. It covers clinical documentation, patient communication, HIPAA and PHI handling, research, and the safety and oversight that healthcare demands. Learners finish able to use AI to save time without compromising compliance or care.

What this course covers

The course runs across 12 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Introduction to AI in Clinical Settings — Understand the role of AI in modern healthcare, balancing clinical efficiency with the critical need for safety, oversight, and compliance.
  • HIPAA, PHI, and Data Privacy in AI Workflows — Examine the legal landscape of HIPAA and Protected Health Information (PHI) when interacting with third-party AI models and tools.
  • Hands-On: De-identifying Patient Data for AI Tools — Practice removing PHI and de-identifying patient records directly within the tool interface before processing clinical data.
  • Drafting Clinical Documentation Safely — Learn to use AI to generate draft progress notes, discharge summaries, and intake forms while maintaining strict compliance standards.
  • The 'Human-in-the-Loop' Review Protocol — Navigate clinical scenarios where you must audit, edit, and approve AI-generated notes, ensuring accuracy and clinical validity.
  • Drafting Compassionate Patient Communications — Use AI to translate complex clinical jargon into clear, compassionate, and patient-friendly email and portal messages.
  • Conversational Practice: Disclosing AI Use to Patients — Simulate conversations with patients who have questions or concerns regarding the use of AI in their care and documentation.
  • Spotting AI Hallucinations and Clinical Errors — Engage in decision-making exercises to identify subtle AI-generated errors, hallucinations, and biases in medical summaries.
  • Leveraging AI for Medical Research & Literature Synthesis — Practice safely querying AI tools to summarize clinical research, draft synthesis papers, and analyze medical literature.
  • Ethical AI Decision-Making in Complex Cases — Work through ethical dilemmas where AI recommendations conflict with clinical intuition or institutional guidelines.
  • Integrating AI into Your Daily Clinical Routine — Establish a secure, repeatable, and highly efficient daily workflow that incorporates compliant AI practices without disrupting patient care.
  • Capstone: Safe AI Workflow Simulation — Synthesize your skills in a comprehensive simulation requiring data de-identification, clinical documentation drafting, and patient disclosure.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to HIPAA Privacy & Security Rule Compliance, AI Tool Usage, Clinical Documentation Improvement (CDI) Program Management, AI Ethics in Healthcare, HIPAA Compliance for Research, Hipaa Compliance, Working with AI Tools, AI Safety.

  • HIPAA Privacy & Security Rule Compliance
  • AI Tool Usage
  • Clinical Documentation Improvement (CDI) Program Management
  • AI Ethics in Healthcare
  • HIPAA Compliance for Research
  • Hipaa Compliance
  • Working with AI Tools
  • AI Safety

Who it is for

Healthcare & clinical-adjacent staff. The material is pitched at intermediate level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Industry: Healthcare track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario, role play exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

Related

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code IND-HLTH.