Learning Objectives
- Understand the Core Principles of AI in Healthcare
- Explain foundational concepts and current applications of artificial intelligence in clinical, administrative, and public health settings
- Analyze the Impact of AI on Healthcare Systems
- Evaluate how AI technologies are transforming diagnostics, treatment planning, patient engagement, and operational efficiency.
- Apply Strategic Leadership Principles in Digital Transformation
- Identify leadership strategies and governance models necessary for successful integration of AI and digital tools into healthcare systems.
- Explore Ethical, Legal, and Regulatory Challenges of AI in Healthcare
- Examine the ethical considerations, data privacy issues, and legal implications related to deploying AI in patient care.
- Assess AI-Driven Innovations and Case Studies
- Review global and regional success stories showcasing the implementation of AI solutions across various healthcare sectors.
- Foster Interdisciplinary and International Collaboration
- Promote collaborative efforts among healthcare providers, technologists, policymakers, and academic institutions for sustainable innovation.
- Enhance Decision-Making Using Data and Predictive Analytics
- Demonstrate how AI-powered data analytics can support evidence-based decision-making and improve patient outcomes.
- Recognize the Role of Leadership in Building a Culture of Innovation
- Understand how visionary leadership can drive organizational change, encourage digital adoption, and cultivate an innovation-ready workforce