Implementing Health Care AI into Clinical Practice

Are you ready to lead your organization into the AI-powered future of health care?

Subscribe to receive updates on Implementing Health Care AI Into Clinical Practice—an applied course that will equip you with the cross-disciplinary skills to successfully implement AI solutions in clinical settings. Through case studies and interactive sessions led by Harvard faculty, you'll gain hands-on experience in all aspects of the AI process from defining problems to deploying solutions.

By the end of this program, you will be able to:

• Analyze clinical workflows with a focus on the clinical decision that can be improved with AI, and design new AI-enhanced workflows
• Understand the nuances of different metrics to assess the performance of different AI models for specific use cases
• Grasp the concepts of MLOps and machine learning model deployment
• Identify the potential for model drift and how to account for it in a model maintenance plan
• Plan and conduct change management for AI-powered process changes
• Identify what team members—data engineers and scientists, MLOps specialists, and others—you need to fully implement a clinical AI project

This program contributes to the AI in Health Care Certificate of Specialization at Harvard T.H. Chan School of Public Health, which involves taking 3 health care AI courses.