What every healthcare worker needs to know about AI, patient data, and professional risk
Certificate of completion upon passing · 5 modules · ~2 hours
A physician-developed program that teaches healthcare workers how AI tools handle data, why common practices create HIPAA exposure, and how to use AI responsibly in clinical and administrative workflows.
What happens to the information you type, why incognito mode does not protect sensitive data, how AI generates responses, and why hallucination is a structural risk.
The 18 PHI identifiers, Business Associate Agreements, impermissible disclosures, the four-factor breach risk assessment, and notification requirements.
Practical identifier removal, clinical documentation standards, the four-step go/no-go decision framework.
AI hallucination in clinical contexts, automation bias, professional responsibility, state AI regulations, accreditation guidance.
Institutional AI policy components, governance roles, vendor review, training design, incident response.
25 questions across all five modules. 80% required to pass. Certificate of completion with unique verification number issued upon passing.
Certificate of completion included at every tier.
Organizations with more than 50 staff: contact us for volume pricing.
Emmanuel Rodriguez, MD
Anesthesiologist
Every scenario in this program is drawn from real clinical and administrative workflows. Every risk framework is grounded in actual regulatory requirements. This is practitioner-authored education — not a vendor's interpretation.
This program provides workforce education on AI-related risks in healthcare settings. It does not constitute legal advice, regulatory guidance, or a guarantee of regulatory compliance. Organizations should consult qualified legal counsel for compliance determinations.