AI Leadership in Health Care
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Transform Health Care and Life Sciences with the AI Leadership in Health Care Program
AI in health care is not limited by what the technology can do but by how effectively it is led, integrated, and trusted across complex systems. The real challenge lies in aligning data, workflows, clinical priorities, and organizational decision-making. Organizations that succeed will be those whose leaders can bring these elements together and embed AI into how care is delivered, rather than treating AI in health care as a standalone technology initiative. As AI adoption accelerates across health care and life sciences, the ability to translate AI solutions into measurable clinical, operational, and organizational outcomes is emerging as a critical leadership differentiator.
The four-month AI Leadership in Health Care program, offered by Michigan Ross Executive Education and Michigan Medicine, is delivered jointly by faculty from the Ross School of Business and the Medical School at the University of Michigan. This program is designed to equip senior leaders with capabilities in AI strategy, clinical innovation, and data governance. Through an integrated focus on AI strategy, data and clinical realities, economics, governance, and health care leadership, this program prepares participants to lead across these areas. Delivered through self-paced online sessions and live online sessions, along with a five-day on-campus immersion featuring decision labs, real-world case discussions, and experiential learning, you will develop the judgment, confidence, and cross-functional alignment needed to lead enterprise-wide AI initiatives in complex health care environments.
AI in Health Care: Strategy, Systems, and Leadership
Transforming Care with AI
Examine how AI in health care is influencing care delivery, operations, and decision-making, and learn how leaders can translate AI solutions into measurable impact across the health system and patient care.
Data and AI Adoption
Understand how data strategy, infrastructure, and interoperability support AI adoption, enabling data-driven decision-making and effective AI implementation in health care environments.
Driving Value with AI
Explore how to align AI for health care with organizational priorities, evaluate opportunities, and drive value across clinical and operational contexts while strengthening health care leadership.
Responsible AI in Practice
Examine the ethical, regulatory, and governance considerations shaping AI technologies and their application in health care, including accountability, risk, and responsible use.
About Michigan Ross Executive Education and Michigan Medicine
Michigan Medicine is the academic medical center of the University of Michigan, bringing together more than 175 years of experience in medical education, research, patient care, and clinical innovation.
This program brings together the strengths of Michigan Ross Executive Education and Michigan Medicine, offering a unique opportunity to learn at the intersection of business leadership, AI, and health care. Participants benefit from the combined business, clinical, and health care expertise of two leading institutions within the University of Michigan.
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What You Will Learn in the AI Leadership in Health Care Program
Key Takeaways
The program will empower you to:
Build an AI-Driven Strategic Perspective: Interpret how AI is reshaping health care, care models, and value creation.
Understand the AI Landscape: Assess the current landscape of AI adoption across health care and life sciences.
Assess AI’s Impact: Analyze how AI is advancing novel therapeutics, care models, system and organizational redesign, and value creation.
Strengthen AI Capabilities and Readiness: Evaluate AI, data, and digital capabilities through strategic, clinical, operational, and governance lenses.
Translate AI Strategy into Leadership Action: Integrate strategy, technology, economics, and responsible AI leadership into executive decision-making.
Improve Decision-Making: Make more informed decisions about investments, prioritization, and resource allocation.
Drive Organizational Alignment: Lead cross-functional alignment and organizational readiness for change.
Enhance Risk Awareness: Distinguish between AI opportunities, limitations, and implementation risks in health care environments.
Learning Journey for the AI Leadership in Health Care Program
The four-month learning journey follows this structure:
Self-Paced Online Learning: Access foundational materials, explore key AI concepts, and reflect on their implications for health care strategy, organizational readiness, and implementation.
Live Online Sessions: Engage in six faculty- and practitioner-led sessions covering AI in health care, digital transformation, data and analytics, strategic execution, and responsible AI leadership.
Applied Learning and Case Discussions: Examine real-world health care AI cases and organizational challenges to connect strategic concepts with clinical, operational, and leadership decisions.
Capstone Project: Bring a real AI opportunity from your organization and develop an evidence-informed, funding-ready strategic proposal addressing value creation, investment, governance, and implementation.
Five-Day On-Campus Immersion: Participate in decision labs, simulations, executive discussions, and applied learning experiences at the University of Michigan campus in Ann Arbor, Michigan, integrating AI strategy with clinical realities, financial analysis, and organizational leadership.
What are the Highlights of the AI Leadership in Health Care Program?
AI Tailored to Health Care Use Cases
Bring a real AI initiative into the program. Work through real health care AI cases and perspectives from leaders, then apply them directly to your initiative with faculty and peer feedback.
On-Campus Immersion
Participate in a five-day in-person experience at the University of Michigan campus in Ann Arbor, Michigan, featuring decision labs, simulations, and real-world case discussions, along with exposure to health systems and innovation environments.
Comprehensive Curriculum
Engage with a highly integrated curriculum covering AI for reshaping health care delivery, competition, and leadership priorities; AI strategy and digital transformation for value creation; data strategy, infrastructure, and interoperability; and leading enterprise health care transformation.
Blended Learning Experience
Build your foundation through self-paced and live online learning, then take your initiative into a five-day on-campus immersion. Apply financial analysis, organizational influence, executive communication, and change management to shape a credible, funding-ready plan.
Expert Faculty
Gain interdisciplinary perspectives from University of Michigan faculty and industry experts who bring together clinical, technical, and business perspectives across health care, AI, and strategy.
Global Peer Network
Learn alongside a cohort of senior leaders across clinical and nonclinical functions, enabling cross-functional exchange and shared perspectives on AI in health care and enterprise transformation.
Hear From the Faculty of the AI Leadership in Health Care Program
How is the AI Leadership in Health Care Program Curriculum Structured?
Program Curriculum
Program Introduction and Orientation | Self-Paced Online and Live Online
Online access to Canvas and pre-program materials
Faculty-led program orientation
Pillar 1 — AI, Disruption, and the Future of Health Care | Faculty + Practitioner Sessions | 3 Live Online Sessions
Examine how AI and digital transformation are reshaping health care delivery, competition, and organizational advantage, and assess the strategic implications for leaders as they navigate what comes next.
Module 1: AI and the Future of Health Care Systems
Examine how AI and digital technologies are reshaping health care delivery, competition, and leadership priorities.
Module 2: Digital Transformation in Health Care Organizations
Explore how transformation efforts succeed or fail, with a focus on operating models, organizational alignment, and system-wide change dynamics.
Module 3: Strategic Implications for Health Care Leaders
Understand how AI influences strategy, value creation, and organizational advantage within evolving health care ecosystems.
Pillar 2 — AI Strategy, Data, and Organizational Transformation | Faculty + Practitioner Sessions | 3 Live Online Sessions
Translate AI strategy into organizational transformation, examining the data, innovation, leadership, execution, and risk considerations that shape successful implementation across health care and life sciences.
Module 4: Data, Analytics, and AI Foundations
Analyze the critical role of data strategy, infrastructure, and interoperability in enabling AI success.
Module 5: Strategic Execution: Integrating Organizational Goals, Innovation, and Leadership
Synthesize program insights to address your organization-specific strategic challenges, applying structured approaches to guide deeper exploration and application.
Module 6: Values, Risk, and Risk Management in an Agent World
Identify the cultural, structural, and leadership challenges that shape AI implementation outcomes across health care and life sciences organizations.
Pillar 3 — Health Care Leadership, Governance, and Responsible AI | 5-Day On-Campus Immersion in Ann Arbor, Michigan
The immersion pairs core leadership and strategy disciplines, from financial analysis and the business case to organizational influence, executive communication, change management, and board-level dialogue, with real health care AI cases and executive or expert perspectives.
Day 1: The AI-Driven Health Care Landscape
Reframe health care strategy, competition, and leadership in an AI-shaped environment, with a focus on care delivery, business models, and decision-making frameworks.
Day 2: AI Technologies, Data, and Clinical Integration
Understand AI capabilities, data infrastructure, and integration challenges across clinical and operational contexts, including predictive and generative AI applications.
Day 3: Enterprise Health Care Transformation
Examine how AI enables transformation across care delivery, operations, and care models, including scaling innovation and redesigning clinical and organizational workflows.
Day 4: Value Creation, Economics, and Investments
Evaluate AI initiatives through financial, strategic, and value-based lenses, including ROI considerations, trade-offs, and decision-making frameworks.
Day 5: Governance, Risk, and Responsible AI Leadership
Explore governance, risk, and ethical considerations in AI adoption, including regulatory accountability, organizational alignment, and leadership responsibility.
Note: The program topics and schedule are subject to change.
How Does the AI Leadership in Health Care Program Use Applied Learning?
Capstone Project
Bring a real AI opportunity or initiative to the program. Build it through your learning journey. Leave with a funding-ready proposal.
A critical part of the learning journey, the capstone project enables you to leave this program with an individual, evidence-informed strategic proposal for a real AI opportunity within your health care or life sciences organization. Develop an appropriately scoped, strategically important initiative, connecting organizational priorities, value creation, success measures, data and technology requirements, responsible AI considerations, and implementation leadership.
The capstone will enable you to:
Identify a strategically important AI opportunity or challenge.
Connect it to organizational strategy and clinical or operational value.
Consider relevant data and technology requirements.
Address responsible AI considerations.
Integrate implementation leadership.
Develop a practical, evidence-informed proposal.
Why Choose the AI Leadership in Health Care Program?
Program Focus | The AI Leadership in Health Care Program | Other AI Learning Formats |
Leadership Perspective | ✅ Enterprise leadership across clinical, operational, and strategic functions | ❌ Technical, functional, or tool-focused AI learning |
Learning Approach | ✅ Faculty-led live online sessions and a five-day on-campus immersion | ❌ Often self-paced or modular learning with limited live engagement |
Application Context | ✅ Decision labs and simulations grounded in real-world health care environments | ❌ Predefined use cases or generic industry examples |
Program Structure | ✅ End-to-end focus on AI strategy, data, governance, and enterprise transformation | ❌ Fragmented or module-based learning focused on isolated AI tech |
Action Orientation | ✅ Leadership-driven approach focused on alignment, governance, and transformation | ❌ Technical execution or theory-heavy orientation |
Learning Experience | ✅ Blended journey with self-paced online, live online, and on-campus immersion | ❌ Primarily virtual or format-limited learning |
Peer Engagement | ✅ Cross-functional cohort across clinical and nonclinical leaders | ❌ Limited peer interaction or function-specific cohorts |
Program Calendar
Topic | Date | Time | |
|---|---|---|---|
Online Orientation Session | Program Orientation | February 25, 2027 | 11 a.m.-12:00 p.m. ET
|
Self-Paced Online | Pre-program Materials and Foundational Concepts | Self-paced | Self-paced |
Live Online Session | AI and the Future of Health Care Systems | March 4, 2027 | 11 a.m.-1:00 p.m. ET |
Live Online Session | Digital Transformation in Health Care Organizations | March 18, 2027 | 11 a.m.-1:00 p.m. ET |
Live Online Session | Strategic Implications for Health Care Leaders | April 1, 2027 | 11 a.m.-1:00 p.m. ET |
Self-Paced Online | Reflection and Applied Learning | Self-paced | Self-paced |
Live Online Session | Data, Analytics, and AI Foundations | April 15, 2027 | 11 a.m.-1:00 p.m. ET |
Live Online Session | Strategic Execution: Integrating Organizational Goals, Innovation, and Leadership | April 29, 2027 | 11 a.m.-1:00 p.m. ET |
Live Online Session | Values, Risk, and Risk Management in an Agent World | May 13, 2027 | 11 a.m.-1:00 p.m. ET |
Self-Paced Online | Continued Learning and Preparation for Immersion | Self-paced | Self-paced |
On-Campus Immersion | Health Care Leadership, Governance, and Responsible AI (5-day immersion) | May 24-28, 2027 |
Note: Session dates and timings are subject to change.
Meet the Faculty of the AI Leadership in Health Care Program
Brad Killaly, PhD
Clinical Associate Professor of Strategy, Michigan Ross, University of Michigan
Brad’s research focuses on health care, studying how policies, labor turnover, and growth strategies affect hospice and long-term care providers. Previously, he held faculty r...
Andrew Rosenberg, MD
Former Chief Information Officer, Michigan Medicine, University of Michigan
Andrew guides the strategic planning and operations of information technology and services across Michigan Medicine and the University of Michigan Medical School. As the Forme...
Who is the AI Leadership in Health Care Program For?
Health Care Leaders and Executives | C-suite and senior clinical and non-clinical leaders seeking to align AI and digital transformation with organizational strategy while safeguarding clinical excellence, patient safety, and institutional reputation. |
Clinical and Nonclinical Leaders Across Health Care and Life Sciences Ecosystems | Leaders across medical, research, health tech/health IT, and health care delivery seeking to translate AI potential into measurable clinical and operational value and lead change across clinical and organizational boundaries. |
Health Care Consultants, Policymakers, and Strategy Leaders | Professionals in health care consulting, policy, and regulation seeking to navigate safe, ethical AI implementation while balancing patient safety, regulation, and innovation. |
Changemakers and Business Leaders | Leaders focused on staying ahead of technological and systemic disruption and navigating AI-driven transformation and uncertainty, including evolving technologies and investment decisions. |
What Credentials and Outcomes Will You Gain from the AI Leadership in Health Care Program?
Certificate
Upon successful completion of the program, you will be awarded a verified digital certificate by Michigan Ross Executive Education and Michigan Medicine. The certificate will be a recognition of your achievement in the AI Leadership in Health Care program.
To meet the completion requirements of this program and receive a certificate, you are expected to:
Attend live online sessions.
Complete self-paced online modules.
Fully participate in the on-campus component.
You are expected to be present for the entirety of the on-campus immersion. If you are unable to attend any part of the immersion, we recommend delaying your application until a future cohort.
Note: After successful completion of the program, your verified digital certificate will be emailed in the name used at the time of registration. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Michigan Ross Executive Education and Michigan Medicine.
Earn Credentials
Upon successful completion of the program, you will:
Receive a digital badge to showcase on LinkedIn and other social media platforms.
Earn 8 units toward the Michigan Ross Distinguished Leader Certificate (DLC), which requires a total of 14 units from qualifying in-person or online programs.
Please note that participation in the AI Leadership in Health Care program (a) will not result in a degree, alumni status, or earned units from Michigan Ross, Michigan Medicine, or the University of Michigan (or to Michigan Ross Executive Education’s knowledge, any other institution); (b) will not be recorded on Michigan Ross, Michigan Medicine, or the University of Michigan transcript; and (c) does not guarantee or suggest that a participant will be admitted to Michigan Ross, Michigan Medicine, the University of Michigan, or to any other university or institution.
Note: This alumni benefit is subject to alumni status verification, cannot be combined with other promotional offers, and may be changed at the discretion of the university or school.
Exclusive Program Fee Benefit for U-M Alumni
Graduates of the University of Michigan (including the Ann Arbor, Dearborn, or Flint campuses) are eligible for a 15% reduction in the program fee for Michigan Ross Executive Education programs delivered in collaboration with Emeritus.
Note: This alumni benefit is subject to alumni status verification, cannot be combined with other promotional offers, and may be changed at the discretion of the university or school.
FAQs
Who will be collecting the payment for the program?
Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.
What is the refund and deferral policy for the AI Leadership in Health Care program?
For the program refund and deferral policy, please click the link here.
Are there any restrictions on the types of funding that can be used to pay for the program?
Program fees for Emeritus programs with Michigan Ross Executive Education and Michigan Medicine cannot be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.
Who is the AI Leadership in Health Care program designed for?
The AI Leadership in Health Care program is designed for senior leaders across the health care ecosystem from both clinical and nonclinical backgrounds, including those from medical, research, health tech, health care delivery, policy, and consulting environments, who are looking to lead AI-driven initiatives and enterprise transformation.
It is especially relevant for:
Health care leaders seeking to align AI in health care with organizational priorities.
Clinical and nonclinical leaders looking to apply AI solutions across care delivery and operations.
Consultants, policymakers, and strategy leaders supporting data-driven decision-making in health care systems.
How do I know if this program is right for me?
After reviewing the information on the program landing page, we encourage you to submit the short form above to access the program brochure, which offers detailed insights into how this program supports leaders navigating AI for health care. If you’re still unsure whether this program is the right fit for you, feel free to email learner.success@emeritus.org, and a dedicated program advisor will get in touch with you shortly.
How does Emeritus support accessibility for learners?
Emeritus is committed to making high-quality education accessible and affordable to individuals, companies, and governments around the world. If you have questions about accessibility or would like to discuss available support options before enrolling, please contact accessibility@emeritus.org. For more information about our accessibility practices, please review our Accessibility Policy here.
Connect With a Program Advisor for a 1:1 Session
Our program advisors have helped senior executives around the world choose the right program for their career goals. Schedule a one-on-one session to get a deeper understanding of why the AI Leadership in Health Care program is the right fit for you.
Email: umim_ailhc@emeritus.org
Phone: +1 315 8886287 (USA) / +44 7888 872682 (UK) / +52 3341 712755 (LATAM)
We encourage early application due to limited cohort capacity.
Flexible payment options available.
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