Innovation with AI in Health Care
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Summary
Unlock the power of AI to drive innovation, improve outcomes, and lead digital transformation in healthcare—enroll in Innovation with AI in Health Care today.
Innovation with AI in Health Care is a transformative program designed to help healthcare leaders harness the potential of artificial intelligence to address critical industry challenges, including aging populations, rising costs, and increasing patient expectations. By focusing on the practical application of AI from a business perspective, the course equips participants with the knowledge and leadership skills needed to successfully implement AI solutions at scale. Fueled by real-world case studies, hands-on projects, and insights from global experts, the curriculum adapts to fast-moving industry trends, empowering decision-makers to drive the digital transformation of healthcare.
Program Overview
Artificial intelligence is maturing rapidly across industries, yet healthcare continues to face challenges in realizing its full potential. At the same time, health systems around the world are grappling with aging populations, rising expectations, and escalating costs. Innovation with AI in Health Care offers a strategic roadmap to help organizations address these pressures and evolve into innovative, 21st-century institutions.
A key barrier to AI adoption in healthcare is a lack of understanding among healthcare leaders. Many are unfamiliar with both the technical foundations of AI and the practical strategies required for successful, scalable implementation. As a result, the potential of AI to deliver value to patients, clinicians, and organizations often goes unrealized—leading to wasted resources and missed opportunities. This course addresses that gap by teaching the fundamentals of applied AI from a business perspective, equipping decision-makers with the intuition needed to avoid common pitfalls.
Innovation with AI in Health Care is designed to help healthcare leaders develop the skills necessary to unlock the value of AI and drive digital transformation within their organizations. Participants will join a diverse global community of professionals from the technical, clinical, and business sectors. Together, they will explore real-world lessons—both successes and challenges—from leading technology and healthcare organizations implementing AI solutions.
This program builds on Responsible AI for Health Care: Concepts and Applications. While each course can be taken independently, earning the AI in Health Care Certificate of Specialization requires completion of any two of the three programs in our healthcare AI portfolio. For those without a strong background in AI, we recommend starting with AI for Health Care: Concepts and Applications, as it provides foundational concepts that support the more advanced material in Innovation with AI in Health Care and Implementing Health Care AI in Clinical Practice.
Both courses in the certificate are also suitable for those who have completed earlier versions of Applied AI in Health Care. Given the rapid evolution of AI, the content has been updated to reflect the latest developments. New group projects offer an opportunity to engage with the material in a collaborative, problem-solving environment. While some content overlaps with earlier iterations, it serves as a valuable refresher. Participants can review the course agenda for specific details.
This course builds on Responsible AI for Health Care: Concepts and Applications. While each program can be taken independently, completing three healthcare AI courses in our portfolio earns the AI in Health Care Certificate of Specialization.
- New to AI? Start with Responsible AI for Health Care: Concepts and Applications for a strong foundation.
- Ready for advanced material? Continue with Innovation with AI in Health Care or Implementing Health Care AI in Clinical Practice.
For those who have taken earlier versions of Applied AI in Health Care, this updated program reflects the latest developments in AI for healthcare, with fresh group projects and collaborative learning opportunities. For any questions about the programs or Certificate of Specialization, please email enrollment@hsph.harvard.edu.
Objectives & Highlights
- 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
- Develop 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 healthcare industry (payer, provider, pharma) and be able to think through the role of AI in each of these
- Discuss how large language models can, and have, been applied in healthcare
- Understand the process of forming and managing data science teams in healthcare
- Explain the workflow of using CNNs for image classification
- Discuss how AI can be used to solve clinical problems
- Describe the process of successfully implementing AI projects in large healthcare organizations
- Identify future challenges and opportunities in generative AI
- Reinforce principles of AI learned in the first course in our series, Responsible AI for Health Care: Concepts and Applications, or other related programs
Certificate of Specialization
Advance your Career with a Certificate of Specialization
This program contributes to the 2-program AI in Health Care Certificate of Specialization. Click here for more information.
