Beyond Vibe Coding: Building AI Solutions to Transform Health Care
Program Overview
Date: September 8–16, 2026
Modality: Online Live
Certificate of Specialization eligibility:
From Strategy to Execution in AI-Enabled Health Innovation
Leaders across hospitals, payers, life sciences, and public health are experiencing a second wave of AI adoption. The first wave supported existing tasks; the next wave lets non‑engineers specify and generate software‑like workflows through natural language. Beyond Vibe Coding: Building AI Solutions to Transform Health Care is for leaders ready to move beyond strategy and into building— while ensuring the systems they create are safe, bounded, auditable, and evidence‑generating.
Participants bring an opportunity area and work through a structured process to define the problem, validate the need, scope the solution, and develop a prototype. We explicitly address key concepts such as vibe coding, natural language programming, and agentic engineering, and teach how to move from early experimentation to production‑ready solutions.
Program Details
By the end of the program, participants will be able to:
- Identify and prioritize high‑value problems suited for AI intervention
- Translate complex workflow and service issues into clear product opportunities, and develop a Product Requirements Document (PRD) with users, workflows, success metrics, and acceptance criteria
- Use AI-enabled programming methods to pressure‑test assumptions and address clinical, operational, technical, safety, and policy dimensions
- Build and test a functional prototype or substantial MVP, then evaluate implementation readiness, governance needs, and pilot design considerations
- Communicate the opportunity and next‑step plan through a concise, decision‑ready pitch
- Understand how to get from prototype to production, including compliance, security, fairness, and evidence generation
Participants leave 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 PRD and architecture overview
- A functional prototype or early MVP ready to be tested in a safe environment
- A pitch deck and roadmap for pilot, internal approval, or investment
The course is open to senior leaders across innovation, product, clinical operations, digital health, venture creation, and public‑sector modernization. We encourage participation from hospitals, payers, life‑sciences, and public‑health leaders—especially those who will oversee AI‑enabled build initiatives without necessarily being coders. The program helps participants develop “build literacy”: the ability to work effectively with technical teams, understand governance and risk, and lead cross‑functional AI projects.
- Health System and Provider Leaders
- Payer and Insurance Executives
- Life Sciences and Biopharma Leaders
- Digital Health and Health Technology Product Leaders
- Clinical and Operational Innovation Leaders
- Startup Founders and Venture Builders
- Public Sector and Public Health Decision-Makers
What Makes This Program Different
This course is a guided, AI‑enabled product‑development program for leaders who already understand AI basics and now need to build, test, and communicate something real. We introduce a disciplined workflow using Harvard’s Healthcare AI Studio, replacing ad hoc prompting with structured natural-language programming and governance frameworks. Participants will learn to identify and mitigate risks and to incorporate specification, boundaries, evidence, and stewardship into their projects.
Healthcare AI Studio
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.
Use Cases Across the Ecosystem
The program intentionally draws examples from across the healthcare ecosystem. Projects may include clinician copilots, care navigation tools, patient or member engagement services, documentation support, operational automation, trial operations platforms, payer workflow agents, regulatory evidence tools, and public‑health surveillance systems. These examples underscore that the course is not limited to hospitals; it is designed for health‑care leaders and innovators in all sectors.
Program Logistics
The agenda is currently being confirmed; please visit our website in the near future to view the agenda.
This program does not offer continuing education credit.
This course also contributes to the AI in Health Care Certificate of Specialization, among others. While each program can be taken independently, completing three healthcare AI courses in our portfolio earns the Certificate of Specialization.
Certificate of Specialization
Earn an AI in Health Care Certificate of Specialization
Take this program to earn a Certificate of Completion, or take 3 to earn a Certificate of Specialization. Learn more here.
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.
https://hsph.harvard.edu/advanced-learning-academy/business-applications-for-ai-in-health-care-certificate-of-specialization/Taken together, Responsible AI for Health Care focuses on governance, ethics, regulation, and risk; Implementing Health Care 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.