Innovation with AI in Health Care

Overview

AI in Health Care: Transforming Organizations Through Innovation

The field of artificial intelligence has now begun to mature in many industries. Health care, however, still struggles to unlock the gains that these powerful technologies can provide. At the same time, health systems worldwide are struggling with aging populations, rising expectations, and ballooning costs. Innovation with AI in Health Care will give you a map to deal with these issues and transform your organization into an innovative, 21st century institution.

A barrier to the adoption of AI in health care is a lack of awareness amongst health care leaders. Many do not understand both the technical concepts of AI and the art of implementing these technologies successfully and at scale. The result is that the potential of AI to deliver value to patients, clinicians, and health care organizations is not realized, and precious resources are wasted in unsuccessful implementations. This course will teach the foundations of applied artificial intelligence from a business perspective and help provide key intuition for decision makers to lessen those missteps.

Innovation with AI in Health Care will help leaders of health care organizations develop the skills needed to realize the value of AI in health care and advance their careers through demonstrating leadership in digital transformation of health care. It also brings together a diverse community of leaders from the technical, clinical, and business worlds. This collective of the world’s largest technology and health care organizations will share their experiences—both positive and negative—of developing and implementing AI solutions in health care.

Participants will also be exposed to cutting-edge issues in health care AI, such as regulation. Short interactive projects carried out during the course will help reinforce key concepts and allow for small-group networking with other participants. There is an emphasis on group work, social learning, and establishing an international network of students who actively collaborate during—and especially after—the course.

This program builds upon AI for Health care: Concepts and Applications. Both courses can be taken independently; however, to earn the Business Applications for AI in Health Care Certificate of Specialization, you must take two of three programs in our health care AI portfolio. Without a strong background in AI, it is recommended that you take AI for Health Care: Concepts and Applications before either Innovation with AI in Health Care or Implementing Health Care AI in Clinical Practice as AI for Health Care: Concepts and Applications covers more foundational concepts upon which the other two programs build. 

Both courses in the certificate are suitable for participants who have taken previous iterations of “Applied AI in Healthcare.” The speed at which AI is developing means that some of the core lessons and insights have updated slightly. The new group projects will also encourage engagement of the material in a collaborative, problem-driven setting. Some of the material in both courses does overlap with previous iterations, but this should serve as a useful refresher—participants can review the course agenda if interested in details.

Objectives & Highlights

• Develop understanding of AI, Large Language Models and Generative AI from first principles building on previous course or from other related courses
• Understand how AI has been applied in healthcare and life sciences
• Understand the process of introducing AI solutions into complex healthcare organizations
• Understand the opportunities and challenges in entrepreneurship with AI in healthcare
• Understand how Large Language Models are trained and optimized
• Understand how the performance of AI can be improved in healthcare through a structured process
• Identify future challenges and opportunities in AI in healthcare

Credits and Logistics

Program Format

This program will be delivered online daily from 9-1:30, with slight timing variations, in a live, synchronous format. The faculty will also offer office hours, which will include an open Q+A and review of materials from the day.

Continuing Education Credit

Harvard T.H. Chan School of Public Health will grant 1.2 Continuing Education Units (CEUs) for this program, equivalent to 12 contact hours of education. Participants can apply these contact hours toward other professional education accrediting organizations.

All credits subject to final 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 and both its current state 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