Implementing Health Care AI into Clinical Practice
Online | August 5-8, 2024
Are you ready to lead your organization into the AI-powered future of healthcare?
Implementing Health Care AI Into Clinical Practice 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.
Upon completing the program, you'll be able to integrate AI into your organization's workflows and transform patient care. Ideal for clinicians and executives, it's your opportunity to future-proof your career.
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
Download our brochure now to learn more about how to enroll in the next session and take your organization's AI implementation to the next level.
This program contributes to the Business Applications for AI in Health Care Certificate of Specialization at Harvard T.H. Chan School of Public Health, which involves two programs of your choosing from our health care AI portfolio.