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Healthcare AI · Proposed Curriculum

AI in Healthcare Leadership

Industry-focused professional learning and applied AI development

2 weeks30 hoursCustomizable delivery

Intended Participants

Healthcare executives, hospital administrators, department leaders, and digital transformation teams

Learning Objectives

Assess realistic AI opportunities, evaluate data and implementation risks, and produce an actionable and responsible adoption plan.

Delivery Format

Instructor-led seminars, case workshops, guided exercises, and applied capstone; online, hybrid, or in-person by arrangement.

Curriculum · Six Instructional Units

  1. Healthcare AI landscape, use-case selection, and clinical versus administrative boundaries
  2. Data readiness, interoperability, privacy, and governance
  3. Leadership decision-making, stakeholder alignment, and change management
  4. Evaluating AI vendors, clinical safety, bias, and human oversight
  5. Business cases, operational metrics, and implementation planning
  6. Capstone: responsible healthcare AI roadmap

Applied Program Outcome

Healthcare AI opportunity assessment and 90-day implementation roadmap

Assessment

Participation and case exercises (30%); applied project (40%); final presentation and reflection (30%).

Institutional Customization

Examples, cases, timetable, and institutional priorities may be tailored after needs assessment.

Important: This is a proposed Beyond Academic curriculum, not a confirmed university or hospital offering. Any certificate or continuing education credit is subject to separate written confirmation; none is guaranteed. AI content is educational; clinical decisions remain with qualified professionals and authorized institutions.

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