AI is arriving in healthcare faster than most organizations can evaluate it. The tools are proliferating, the stakes are high, and the pressure to adopt is real. Knowing how to cut through the noise and make sound decisions about AI requires a framework, not just instincts or buzzwords.

In this course, you will explore that framework across three interconnected dimensions: the AI tool itself, your organization, and the regulatory landscape. You'll evaluate AI tools by examining their types, risk profiles, and the quality of the evidence supporting them. You'll then assess your organization's readiness across four pillars: technology infrastructure, data readiness, talent and workforce, and culture and change management. Finally, you'll consider the regulatory and compliance considerations required for any responsible AI deployment, including FDA classification, CMS reimbursement implications, and state-level legislation.

By applying this framework, you will develop a structured AI readiness assessment that you can bring directly back to your organization.

 

How It Works

Course Length
2 weeks

Effort
4 to 6 hours of study per week

Format
100% online, instructor-led
  • C-suite and senior healthcare executives (CEOs, CMOs, CIOs, CDOs, CNOs, COOs) responsible for strategic AI investment, governance, and enterprise-wide adoption
  • VPs and directors of digital health, clinical operations, and innovation leading AI pilot design, workflow transformation, and scale-out execution
  • Hospital and health system administrators overseeing operational transformation and resource allocation for AI initiatives
  • Physician leaders and clinician-executives (medical directors, department chairs) serving as clinical champions and bridging practice with technology strategy fg
  • Health IT and informatics professionals (directors of health IT, clinical informaticists, CTOs) moving from technical implementation into strategic and governance roles
  • Healthcare consultants and strategy advisors serving delivery organizations who need credentialed expertise in AI procurement, governance, and ROI
  • Regulatory, compliance, and legal professionals navigating HIPAA, FDA classification, algorithmic bias, and evolving U.S. state-level AI legislation
  • Healthcare project and program managers, quality improvement directors, and technical product managers leading cross-functional AI implementation and outcomes measurement
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