AI in Health Care: From Strategies to Implementation

Inquiring For
Work Experience

Who Is This Program For?

The AI in Health Care: From Strategies to Implementation program is designed for leaders and innovators, including:

  • Medical professionals and researchers who are seeking practical knowledge of how to integrate AI technologies to transform health care processes and improve decision making in patient care.

  • Health care leaders and executives who are seeking a deeper understanding of how to implement AI initiatives that improve patient care, enhance operational efficiency, foster innovation and give their organizations an edge in today’s complex health care landscape.

  • AI technology and innovation enthusiasts who understand AI’s potential to transform health care and want to lead innovation to create cutting-edge solutions that meet the needs of today’s health care systems and patients.

  • Health care consultants, regulators and policymakers who are guiding organizations through the adoption of AI-driven solutions or developing policies for the use of AI in health care.

Key Takeaways

  • Understand the fundamentals of modern AI, including the role data and computing play in building successful applications, to improve overall patient experiences and outcomes.

  • Evaluate existing AI systems in health care to quantify their strengths and weaknesses.

  • Identify new opportunities to address modern health care needs with AI.

  • Assess the potential biases and ethical implications of AI technologies in health care settings to ensure that any AI solution promotes data privacy, data integrity and trust.

Learning Experience

Decorative image relating to a Project

Capstone project

Decorative image relating to Certificate

Certificate of completion from Harvard Medical School Executive Education

Decorative image relating to showing a crowd


Decorative image relating to a guest speaker

Guest speakers

Decorative image relating to a discussion

Immersive discussions

Decorative image relating to a poll graphic

Polls and knowledge checks

Decorative image relating to a finger on a calendar

Weekly live office hours with the program facilitator

Decorative image relating to one lead professor

One live session with the lead faculty*

Decorative image relating to magnifying glass on a piece of paper

Real-world examples and case studies

Decorative image relating to one lead professor

Practical, scenario-based assignments

Case Studies

Decorative image relating to an Echo-net dynamic case study

Leveraging the AI development pipeline to optimize health care solutions

Decorative image relating to an Evidation case study

Employing machine learning to collect real-time health data

Decorative image relating to Flagship Pioneering Case Study
Flagship Pioneering

Approaching new opportunities for AI in health care

Decorative image relating to a Biomedicinal Case Study
Generate: Biomedicines

Using generative AI for innovation in health care

Decorative image relating to a Health Icon Case Study
Google Health

Applying the principles of human-centered design to health care solutions

Decorative image relating to a Bionetwork
Sage Bionetworks

Leveraging AI to offset bias in health care

Capstone Project

Develop a Solution for Your Organization

The program incorporates a capstone project that requires you to ideate and pitch a new AI-first health care solution that addresses a current need. The project will prepare you to design and implement innovative, real-world solutions that elevate the level of care your organization offers to today’s health care consumers. The project will span the course of the program, enabling you to incorporate the concepts and frameworks you learn in each module to develop your pitch.


Through this eight-week online program, you will develop a deep understanding of real-world data, digital medicine and AI applications and learn to translate AI concepts into actionable success. The learning experience encompasses recorded and live sessions with faculty and guests, interactive discussions, weekly live office hours, scenario-based assignments, case studies, real-world examples and a capstone project.

Scenario-Based Assignments

  • Algorithmic Trust: Leveraging predictive models for decision - making

  • Model Cards: Building transparency and trust in an AI model

  • Machine Learning for Wearables: Designing solutions that combine machine learning and wearable data

  • AI Viability in Health Care: Training and developing an AI model


Profile picture of Assistant Professor of Epidemiology, Harvard Medical School - Andrew Beam
Andrew Beam, PhD

Assistant Professor, Department of Epidemiology, Harvard T.H. Chan School of Public Health

Andrew Beam, PhD, conducts research focused on the development and application of machine learning methods to extract meaningful insights from clinical and biological datasets...



Upon completion of this program, you will receive a digital certificate from Harvard Medical School Executive Education.


Didn't find what you were looking for? Write to us at or Schedule a call with one of our Program Advisors or call us at +1 315 284 5718 (US) / +44 204 538 5575(UK) / +65 3138 4864 (SG)

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options are available.

Starts On