Half Day, Live Virtual Training
This Half Day interactive course introduces beginning and mid-level healthcare professionals to practical applications of artificial intelligence. Through hands-on activities, discussions, and real-world examples, participants will learn how AI tools like Microsoft CoPilot can streamline administrative tasks, enhance clinical decision support, and improve operational efficiencies. This training offers tracks for healthcare leaders, as well as team members, and is designed to equip you with the knowledge and tools to leverage Ai for transforming patient care outcomes and significantly reduce burnout.
2026 Open Enrollment Dates
March 11, 2026LEADER TRACK
$295/seat
- 8am – 12pm (PST)
- 11am – 3pm (EST)
- via Microsoft Teams
April 8, 2026TEAM MEMBER TRACK
$295/seat
- 8am – 12pm (PST)
- 11am – 3pm (EST)
- via Microsoft Teams
Course Objectives
Primary Focus: Large Language Models for healthcare applications (adaptable for ChatGPT, Claude, Copilot, or Gemini)
Industry-Specific Customization Features:
Real Healthcare Context:
• Current Workforce Crisis: 10 million healthcare worker shortage expected by 2030, 50% of physicians experiencing burnout
• Regulatory Environment: 2025 HHS HIPAA Security Rule updates, AI inclusion in risk management requirements
• Technology Adoption: Healthcare “below average” in AI adoption despite proven benefits for burnout reduction and efficiency
Practical Healthcare Applications:
• Clinical Workflows: Documentation → Assessment → Treatment → Care Coordination → Discharge
• Quality Metrics: Patient satisfaction, clinical outcomes, documentation accuracy, time efficiency
• Compliance Requirements: HIPAA Security Rule, PHI protection, algorithmic bias mitigation
Healthcare-Specific Challenges:
• Efficiency vs. Patient Care: Using AI to reduce administrative burden while maintaining therapeutic relationships
• Safety vs. Innovation: Implementing AI tools without compromising clinical judgment and patient safety
• Compliance vs. Usability: Ensuring HIPAA compliance while maintaining user-friendly AI integration
Hands-on Activities Using Real Scenarios:
Assessment and Follow-up:
• Pre-course Survey: Current AI experience, clinical role focus, burnout levels, technology usage in healthcare settings
• Between Sessions: Apply AI to actual clinical project (documentation improvement, patient education, care coordination)
