AI for Health CareConcepts and Applications

Overview

AI is Transforming Industries—Understand its Role in Health Care’s Future

The health care industry is in a productivity crisis. For the last half century, technology, agriculture, and manufacturing corporations have outpaced health care’s innovation. However, today artificial intelligence offers a tool that can help medical doctors, administrators, and other stakeholders break out of this crisis. The growing role of AI in health care organizations can harness data already being collected to inform and improve clinicians’ decisions and service to patients. Hospital and system leaders can make informed systems decisions to improve processes and performance. Unfortunately, many leaders responsible for making these decisions don’t know where to begin in applying AI for the best outcomes.

This is where AI for Health Care: Concepts and Applications comes in. For health care professionals, this program will help you think like a data scientist. It takes a “zero-to-AI” approach, using Harvard faculty to introduce AI beginners to key foundational concepts. This course outlines health care-specific subtleties that arise and places AI in the larger health care systems context. Find out how AI can change the relationship between doctor and patient and learn key principles for implementing ethical AI for progress with AI for Health Care: Concepts and Applications.

Objectives & Highlights

Learning Objectives

• Improve understanding about the fundamental concepts of AI
• Appreciate the significance of some of the advances that have taken place in AI
• Develop a more informed view on managing AI projects
• Have a more nuanced view of bias, fairness, and ethics in modern AI
• Anticipate the upcoming developments in AI with appropriate timelines
• Accurately assess the current state of the technology for each of the major subfields of AI
• 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

Program Highlights

• Program faculty will include industry experts from the world’s top technology companies
• 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
• Interactive program format including case studies, group discussions, active learning strategies, and master classes
• Develop a network of business and clinical leaders from across the world
• Benefit from a community of innovators to help you implement what you learn in the course

Curriculum

Introduction to AI: Definitions and Terminology

• Introduction to AI
• How AI is transforming society and daily life
• How healthcare needs to benefit from AI too

Foundational Concepts and Current State of the Art

• Key Concepts in AI
• What is possible today using AI
• What will be possible in the near future

Zero to AI

• Further Foundation Concepts in AI
• How AI works in practice

Masterclass: Emily Melton, AI in Clinical Medicine

• How AI can revolutionize clinical medicine

Digital Health and AI

• How AI is supercharging digital health
• How to build robust AI-enabled digital health systems

AI in the Life Sciences

• How biopharma are being impacted by AI
• How to build, lead, and develop data science teams

Masterclass: Tich Changamire, How to Create Artificial Intelligence

• The key ingredients and high level recipes required to create artificial intelligence
• Common pitfalls and considerations

When AI Goes Wrong: Algorithmic Bias

• Types of Bias
• How algorithms can perpetuate or exacerbate existing biases in datasets and society
• The need to build bias-mitigating or bias-free systems

Collaborative and Open Data Science

• The difficulty of generalizing AI models
• The importance of collaboration and open datasets to build robust AI

Masterclass: Javier Tordable, AI and Strategy

• AI from the perspective of the C-suite
• How AI enabled businesses have the edge

Business Models for Healthcare AI

• How the innovations in AI and subtleties of healthcare combine to produce unique business models for healthcare AI
• Practical exercises to think through some of the novel business models for healthcare AI

Masterclass: Lisa Maki, AI Ethics

• Ethical ramifications of AI specific to healthcare
• Difficulties and uncertainties

AI and Global Health Systems

• How health systems across the world differ in culture, funding, scope and delivery
• How these differences lead to different opportunities for AI

Regulation

• The importance and difficulties of regulating AI in healthcare
• How the traditional regulatory models don’t work, and novel work being done in this area

Credits and Logistics

Continuing Education Credit

Harvard T.H. Chan School of Public Health will grant 1.4 Continuing Education Units (CEUs) for this program, equivalent to 14 contact hours of education. Participants can apply these contact hours toward other professional education accrediting organizations.

All credits subject to final agenda.

All participants will receive a Certificate of Participation upon completion of the program.

Agenda

Who Should Participate

This online program is designed for senior managers and executives who are responsible for developing and implementing AI strategy in their organizations and are looking to understand AI, its current state of the art, and future.

Participants will come from a range of organizational functions including health care delivery, health care technology, primary care systems, payers, and governments. Some titles represented in the program will include:

• Chief Executive Officer
• Chief Information Officer
• Chief Innovation Officer
• Chief Medical Informatics Officer
• Chief Medical Officer
• Clinician
• Data Scientist
• Director
• Engineer
• Innovation Specialist
• Finance Professional
• Product Manager
• Project Manager
• Venture Capital Investor