AIHP302: AI-Driven Clinical Decision Support for Healthcare and Mental Health
Self-paced
4.5 credits
Full course description
Course Details
Time Commitment: 4.5 hours
Course Type: Self-paced
Prerequisites: none
Nursing Continuing Professional Development
ANCC NCPD Contact Hours: 4.5
Chamberlain University is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center’s Commission on Accreditation. Provider Unit P0572.
Course Description
This micro-course explores the integration of AI in clinical decision support, providing healthcare professionals with the knowledge and skills to leverage AI tools effectively while maintaining their professional judgment. Through a series of lessons, participants will learn to analyze clinical scenarios with AI, understand various AI tools, implement best practices for AI integration, optimize clinical workflows, and balance AI assistance with human judgment. The course includes practical case studies to enhance learning and application in real-world settings.
Learning Outcomes
By the end of this course you will:
- Analyze the role of AI in clinical decisions.
- Appraise the ethics and appropriateness of using AI in clinical settings.
- Evaluate appropriate AI tools for diagnostic, predictive, prescriptive, and NLP applications in healthcare.
- Apply best practices for integrating AI into clinical workflows and organizational processes.
- Apply AI tools to optimize clinical efficiency and patient care by addressing issues of clinical burnout and communication.
- Evaluate the balance between AI assistance and human judgment in clinical decision making.