What you'll learn
- Learn from industry leaders about future trends in health care and the potential impact of AI
- Attain skills that are immediately applicable once you return to your organization
- 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
- 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.)
- Know in detail the weaknesses of modern AI techniques and their consequences for business (including the curse of dimensionality, generalizability, and explainability)
- See AI in the wider context of business strategy and quality improvement: be able to evaluate build/buy decisions and consider factors such as scalability and sustainability
Artificial Intelligence (AI) and cognitive computing are projected to empower patients, transform the practice of medicine and save the health care industry over $150 billion by 2025.1
It is estimated that if implemented correctly, AI could improve health outcomes by up to 40 percent and reduce treatment costs up to 50 percent by improving diagnosis, increasing access to care and enabling precision medicine.2
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.
Harvard T.H. Chan School of Public Health
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