Learning Objectives:
After attending this session, participants will be able to:
After attending this session, participants will be able to:
1. Discuss the role of AI within Quality Improvement: Gain insights into how AI is being utilized to drive advancements in QI frameworks and patient safety strategies.
2. Utilize AI for data analysis: Learn about innovative applications of AI for analyzing large datasets to predict outcomes, identify trends, and optimize healthcare decision-making.
3. Foster equity in AI-driven QI: Discuss strategies to address bias and improve equity and inclusivity when implementing AI tools in QI projects.
2. Utilize AI for data analysis: Learn about innovative applications of AI for analyzing large datasets to predict outcomes, identify trends, and optimize healthcare decision-making.
3. Foster equity in AI-driven QI: Discuss strategies to address bias and improve equity and inclusivity when implementing AI tools in QI projects.
4. Evaluate the quality of AI in healthcare: Identify critical standards for assessing the safety, reliability, and ethical implications of AI technologies in QI initiatives.