Course Overview
Along 5 hours of learning we will provide a comprehensive exploration of the role of Artificial Intelligence (AI) in clinical practice, focusing on its applications, challenges, and ethical considerations. Participants will gain insights into how AI enhances patient care through remote monitoring, telehealth, drug discovery, and predictive analytics. The course is structured into modules that progressively build knowledge, from foundational concepts to advanced applications and ethical implications.
Training needs
- Knowledge Gaps: Discuss existing knowledge gaps in AI technologies among participants.
- Ethical Understanding: Assess participants' familiarity with ethical and legal considerations in AI use.
- Skill Development: Determine the specific AI skills participants wish to develop (e.g., data analysis, patient engagement).
- Practical Application: Discuss the current challenges faced by participants in implementing AI in their practice.
Outcomes
- Comprehend the basic concepts and technologies underlying AI in healthcare.
- Utilize AI tools for remote monitoring, drug discovery, and predictive analytics in their clinical settings.
- Implement AI-driven strategies to enhance patient engagement and shared decision-making.
- Address ethical and legal issues associated with AI in clinical practice.