AI APPLICATIONS IN CLINICAL DECISION SUPPORT
Course 5403
3 Days
$1,800
We’ll explore how AI is being used to enhance clinical decision-making and improve patient outcomes. You’ll learn about the tools and techniques that empower healthcare professionals to make more informed decisions with the help of AI.
Who Should Take This Course?
This course is designed for healthcare professionals, data scientists, and anyone interested in how AI can improve clinical decision-making. If you’re curious about the practical applications of AI in healthcare and want to see how it can be integrated into clinical workflows, this course is for you.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to [email protected]
Learning Objectives
- Understand the role of AI in clinical decision support systems.
- Learn about the different types of AI tools used in clinical settings.
- Explore real-world applications of AI in enhancing patient care.
- Gain insights into the challenges and limitations of AI in clinical decision-making.
- Develop skills to assess and implement AI solutions in healthcare environments.
Course Topics
Introduction to Clinical Decision Support
- Overview of clinical decision support systems (CDSS).
- The role of AI in improving clinical decisions and outcomes.
AI Tools and Techniques for Clinical Support
- Machine learning algorithms used in clinical decision support.
- Natural language processing (NLP) for analyzing clinical data.
Real-World Applications of AI in Healthcare
- Case studies of AI applications in diagnostics and treatment planning.
- AI tools for risk assessment and predictive analytics.
Integration of AI into Clinical Workflows
- Strategies for incorporating AI tools into existing clinical practices.
- Ensuring seamless collaboration between AI systems and healthcare professionals.
Challenges and Considerations
- Addressing ethical and legal challenges in AI-driven decision-making.
- Overcoming barriers to AI adoption in clinical settings.
Future Trends in AI for Clinical Support
- Emerging technologies and innovations in AI for healthcare.
- The evolving role of AI in shaping clinical practices.
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to [email protected]
August 19 - August 21, 2024
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,800
Class ID: 5403
September 9 - September 11, 2024
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,600 (Limited time Offer)
Class ID: 5403
October 15 - October 17, 2024
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,800
Class ID: 5403
November 11 - November 13, 2024
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,600 (Limited time Offer)
Class ID: 5403
January 27 - January 29, 2025
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,800
Class ID: 5403
February 3 - February 5, 2025
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,800
Class ID: 5403
March 10 - March 12, 2025
9:00 AM – 5:00 PM EST
AI Clinical Decision Support
Virtual, EST
$1,800
Class ID: 5403
