About this Course
This course delves into the integration of artificial intelligence (AI) within healthcare, focusing on patient data management. Learners will explore the ethical and policy considerations surrounding AI applications in clinical and public health settings. The course emphasizes the significance of data quality and the potential impact of bias on clinical decision support systems. Participants will gain hands-on experience with AI and machine learning tools, including natural language processing (NLP) applications for clinical note summarization. Additionally, the course covers the integration of AI with electronic health records (EHRs) and clinical decision support systems, equipping learners with the knowledge to leverage AI for improved patient outcomes
What You'll Learn
- Analyze ethical and policy considerations of AI in clinical and public health settings
- Evaluate data quality and assess bias in clinical decision support systems
- Apply machine learning and NLP techniques to clinical data tasks
- Understand integration of AI tools with EHRs and decision support systems
Prerequisites
- Basic computer and internet skills
- Ability to read instructions in English and complete short activities
Instructors
Frank Naeymi-Rad