Objectives:
- Recognize how LLMs can accelerate learning across data science, healthcare policy, and operations domains.
- Identify opportunities and limitations in using LLMs for rapid understanding of new healthcare datasets.
- Explore strategies for leveraging LLMs to bridge knowledge gaps between healthcare stakeholders, while acknowledging potential pitfalls.
- Examine case studies highlighting both successes and challenges in using LLMs for healthcare insights.
- Analyze the potential and limitations of LLMs in transforming interdisciplinary collaboration in healthcare.
- Assess critical factors for effective and responsible use of LLMs in healthcare innovation and problem-solving.
- Discuss ethical considerations, best practices, and necessary safeguards when using LLMs as learning accelerators in healthcare.