What you'll learn

  • Understand the fundamental concepts of AI
  • Accurately assess the current state of the technology for each of the major subfields of AI (Natural Language Processing (NLP), Vision, Expert Systems, Causality, Knowledge Representation, etc.)
  • Understand the main components of the health care industry (payer, provider, pharma) and be able to think through the role of AI in each of these
  • Understand the growing field of consumer health and the role of AI
  • Be able to plan and manage an AI project
  • Have a nuanced view of bias and fairness in modern AI

Course description

There is no denying that AI is the future of health care, however AI technologies won’t implement themselves and require considerable translational expertise to deliver on their promise. Although health care professionals have firsthand experience with health and organizational issues, they typically do not have a detailed understanding of the AI technology needed to address them. Many health care executives know implementing AI will improve their organization and keep them competitive, but find the technology and scale of data intimidating. On the other hand, data scientists and technology professionals are not familiar with the intricacies in health care that will inform the development of AI in this field.

This program is everything you want to know about AI in health care, but are afraid to ask. For health care professionals, it will help you to think like a data scientist. For technology professionals, you will learn the nuances of health care that are central to effectively developing AI. This course will bridge the two parties, opening the communication and knowledge between health care leaders and data scientists.

You will learn from the leaders in health care AI, including prominent Harvard faculty and industry experts at many of the world’s top technology companies. Course faculty will use group discussions, active learning strategies, case studies, and master classes to explore such topics as AI creation, potential implementation challenges, business models for AI in health care, and the future of the field over the next 5 years. Additionally this course is designed to encourage networking among participants, fostering a long-term support system you can lean on after the program concludes.

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