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
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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 a four-day live online course for leaders who are ready to move beyond AI strategy and begin building solutions themselves. Participants bring a concrete opportunity area from a health system, payer, life sciences organization, public agency, startup, or health technology company and work through a structured process to define the problem, validate the opportunity, scope the product, and build an AI-enabled prototype.
Using the Harvard-developed Healthcare AI Studio, participants learn a structured AI-native product development approach that combines strategy, product management, engineering, safety review, and policy thinking. By the end of the program, participants leave with a validated use case, a Product Requirements Document (PRD), a functional prototype or substantial MVP, and a pitch tailored to an internal innovation committee, investment audience, or public-sector decision-maker.
Strong projects are typically digital workflows or services—such as clinician copilots, documentation support, care navigation, operational automation, patient or member engagement tools, or public health service redesign—where users, workflows, and measurable value can be clearly defined.
What Makes This Program Different
Most executive education programs in healthcare AI focus on governance, implementation, or strategic awareness. This program focuses on building.
Where other programs in the portfolio help participants understand AI, govern it, or adopt it inside existing organizations, this program is about creation: turning a high-potential opportunity into a product concept, prototype, and next-step plan.
This is not a survey course and not a coding bootcamp. It is a guided AI enabled product-development course for leaders who already understand AI basics and now need to build, test, and communicate something real.
Healthcare AI Studio
From concept to prototype to pitch—in four days.
These participants use the Harvard Healthcare AI Studio, an open-access structured environment for AI-enabled product development. The Studio helps participants work across strategy, product definition, engineering, safety, and policy tasks using a disciplined workflow rather than ad hoc prompting. The goal is not only to produce one prototype during the program, but to learn a repeatable method for future initiatives. up.
Objectives & Highlights
By the end of the program, participants will be able to:
- Identify and prioritize high-value health care problems suited for AI-enabled intervention
- Translate complex workflow or service problems into clear product opportunities
- Use structured AI-native methods to pressure-test assumptions across clinical, operational, technical, safety, and policy dimensions
- Develop a Product Requirements Document (PRD) including users, workflows, success metrics, and acceptance criteria
- Build and test a functional prototype or substantial MVP
- Evaluate implementation readiness, governance needs, and pilot design considerations
- Communicate the opportunity, product, and next-step plan through a concise decision-ready pitch
This program is designed for leaders with foundational AI fluency who are responsible for innovation, digital transformation, product strategy, clinical operations, venture creation, or public-sector modernization.
It is especially relevant for chief innovation, digital, information, medical, and strategy leaders; clinical and operational leaders sponsoring AI-enabled workflow redesign; product leaders and founders building health care AI products or services; and payer, life sciences, and public-sector leaders developing new AI-enabled offerings or initiatives.
Participants may attend individually or in small teams. No formal software engineering background is required, but participants should be comfortable experimenting with AI-assisted tools in a guided environment.
Participants or teams leave the program with:
- A validated problem statement and opportunity brief
- A clearly defined target user, workflow, and value proposition
- A stakeholder map, risk and assumption log, and success metrics
- A Product Requirements Document (PRD) and architecture overview
- A functional prototype or early MVP
- A pitch deck and next-step roadmap for pilot, internal approval, or investment discussions
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, MBBS MBA DIC FRCGP FFPH FRCP 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 designed as the capstone course in the 3-course AI in Health Care Certificate of Specialization. It also contributes to the new 5-course AI in Health Care Leadership Advanced Certificate of Specialization.
Taken together, 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.
Please note that this course can be taken independently, and while it was designed as a capstone-style course, participants may take our health care AI courses in any order.