Building AI Solutions to Transform Health Care
From idea to prototype to pitch, this program helps healthcare leaders design, build, and deliver AI-enabled solutions from concept to implementation-ready plan. This 4 day live online course will be held September 8-9 and 15-16, 2026
Upcoming Program Information
View detailed information for the upcoming programs.
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Building AI Solutions to Transform Health Care
From idea to prototype to pitch, this program helps healthcare leaders design, build, and deliver AI-enabled solutions from concept to implementation-ready plan.
Program Fees
- Standard Price $2,600.00
Program Overview
From Strategy to Execution in AI-Enabled Health Innovation
Building AI Solutions to Transform Healthcare is an intensive online build sprint for leaders who want to create new AI-enabled products, services, and ventures in healthcare. Participants bring a real opportunity area—whether inside a health system, life sciences organization, payer, startup, or public agency—and work through a structured process to shape it into a clear product concept with defined users, workflows, and measurable value.
Over the program, participants use an AI-native build workflow to pressure-test assumptions, make disciplined product decisions, and rapidly translate their concept into a functional prototype or substantial MVP. The course culminates in a concise pitch designed for real decision contexts—internal innovation funding, venture investors, or public-sector pathways—so participants leave prepared to move from ambition to action.
Healthcare AI Studio
From concept to prototype to pitch—in four days.
This is an immersion into execution. You will move beyond the role of a student to become a creator. Over four intensive days, you will utilize the Healthcare AI Studio—a proprietary, open-access product development platform—to orchestrate a team of expert AI agents and build a validated, AI-enabled healthcare product from the ground up.
Participants do not leave with slides alone. You will leave with a Product Requirements Document (PRD), a validated prototype, and a pitch deck ready for internal stakeholders or venture funding.
Objectives & Highlights
By the end of the program, participants will be able to:
- Identify and prioritize high-impact healthcare challenges using system-level frameworks
- Translate complex problems into clearly defined solution concepts
- Apply structured, multi-agent AI workflows to inform product decisions
- Develop a complete Product Requirements Document (PRD)
- Build and test a functional AI-enabled prototype or substantial MVP
- Evaluate feasibility, safety, governance, and implementation readiness
- Communicate their solution through a clear and structured pitch
- Apply a repeatable AI-native development method in future initiatives
- Led by Harvard faculty and experienced AI builders with expertise in health systems, digital transformation, and product development
- Learn and apply vibe coding as a structured, AI-native approach to rapid healthcare product development
- Use the Healthcare AI Studio to orchestrate multi-agent AI workflows across strategy, product, engineering, safety, and policy
- Move from system-level problem definition to a validated solution concept and complete Product Requirements Document (PRD)
- Build and test a working AI-enabled prototype or substantial MVP in a guided, hands-on environment
- Receive structured feedback from faculty and peers during live build sessions and office hours
- Develop a pitch suitable for internal innovation committees, venture funding, or public-sector innovation pathways
- Join a global network of leaders committed to building and scaling transformative AI solutions in healthcare
Trishan Panch, MD, MPH is the CEO of LUNRStudio, Executive Chair and Chief Strategy Officer at Lumin Health, Past-President at Harvard TH Chan School or Public Health Alumni Association and Board Chair at Healthcare for All. He co-founded Wellframe and co-led the company from inception in 2012 to acquisition by Blackstone/Health Edge in 2021 serving as Chief Medical Officer, Chief Product Officer and Chief Innovation Officer. He is the holder of the patent on the Wellframe technology and is the inaugural recipient of Harvard’s Public Health Innovation Award for his work in Digital Health.
Rifat Atun, MD, FRCP, FFPH, FMedSci is Professor of Global Health Systems and the Director of The Health System Innovation Lab at Harvard University. He is Vice Dean for Non-Degree Education and Innovation at Harvard T.H. Chan School of Public Health. In 2026, he was appointed to an endowed professorship as Julio Frenk Professor of Public Health Leadership.
Certificate of Specialization
Advance your Career with a Certificate of Specialization
This program contributes to the AI in Health Care Certificate of Specialization. Click here for more information.
Building AI Solutions to Transform Healthcare is the capstone course in the AI in Health Care Certificate of Specialization and builds on Responsible AI for Health Care: Concepts and Applications, Implementing AI in Clinical Practice, and Innovation with AI in Health Care. While each program can be taken independently, completing three courses earns the AI in Health Care Certificate of Specialization.
Together, the first three programs provide the leadership foundation— Responsible AI for Health Care focuses on governance, ethics, regulation, and risk; Implementing AI in Clinical Practice covers operational rollout through workflow redesign, evaluation, MLOps, and change management; and Innovation with AI in Health Care broadens strategic awareness of frontier applications and leading organizations. Building AI Solutions to Transform Healthcare then shifts from understanding and adoption to execution, equipping participants to build, test, and pitch a real solution end-to-end using an AI-native, vibe-coding workflow.