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2.5-Week Intensive NPS 78

Agentic AI in Healthcare:
Lead, Govern & Evaluate with Confidence

"Agentic AI isn't ChatGPT. It's AI that takes actions — actively guiding patient care in real-time, rather than merely generating predictive risk scores. That autonomy demands new frameworks for AI evaluation, oversight & human-in-the-loop governance."
José R. Zubizarreta, Daniel C. Tosteson Professor of Health Care Policy, Harvard Medical School
José R. Zubizarreta — Program Faculty Daniel C. Tosteson Professor of Health Care Policy, Harvard Medical School
Rate
$1,495 USD
$1,995Save $500
Next Cohort
Apr 28 – May 14, 2026
Certificate
Harvard Data Science Initiative
Format
Online (Live + AI‑Guided)
Built on the Agentic AI Intensive — named by Forbes as a top course to master AI agents.

View the course outline

See the full curriculum, faculty details and pricing.

Join leaders from Mayo Clinic, J&J, AstraZeneca, and Novartis
Leaders from these organizations are enrolled in this program
Mayo Clinic· Johnson & Johnson· AstraZeneca· Novartis· UnitedHealth Group· Northwell Health· Vanderbilt UMC· Fred Hutchinson Cancer Center· Weill Cornell Medicine· Epic· Children's Mercy Hospital· Valley Children's Healthcare

What healthcare leaders say after completing the intensive

Executives and clinicians from Mayo Clinic, Epic, AstraZeneca, and other organizations across health systems, pharma, and health tech

"This experience gave me both language and structure to help lead that work more effectively. The AGENT framework helped connect strategy to execution in a way that felt immediately relevant."
Hannah Lechner
Hannah Lechner
Clinical Innovation Director
"I enrolled as a physician looking to move beyond theory into real-world application. My biggest 'aha' moment was shifting from viewing AI as a tool to understanding it as an agentic system — capable of reasoning through workflows. This has helped me translate ideas into execution and design AI-driven workflows in areas like intake and documentation."
Abdul Qadir
Abdul Qadir
Chief Executive Officer & Psychiatrist, Compassion Health Network
Abigail Rodosh
Abigail Rodosh
Senior Manager, Customer Success, ModMed
"What I didn't expect was how useful this framework is beyond just direct patient care. It really applies across the board — operations, customer experience, how teams scale."
Robert Benard
Robert Benard
Nurse Practitioner, Addiction Medicine · HDSR Course Participant
"Understanding how to apply the AGENT framework and how to embed human-in-the-loop oversight fundamentally changed how I approach AI systems in healthcare."
Charlie Kesinger
Charlie Kesinger
PhD, Medical Informatics
"The most interactive, hands-on AI learning I've had in any coursework — and I have a PhD and master's in medical informatics."
Barbara Nitsch
Barbara Nitsch, MD
Radiologist, Physician
"I feel I learned more in 2.5 weeks here than in other AI programs I have taken. The mix of teaching modules and the integration of a chat-based assistant kept me consistently engaged."
Kelly Ragona
Kelly Ragona
Director of PMO, AliMed
"The AGENT method gave me a structured, repeatable way to evaluate clinical AI."
The healthcare AI gap

Agentic AI decisions are being made across your organization. Right now.

Vendor proposals are landing on desks. Pilot programs are launching without governance frameworks. AI is reshaping clinical workflows, pharma operations, and product development — and the leaders who shape how it's deployed need frameworks that don't exist yet.

Vendor demos look impressive. You don't have a framework to evaluate them.
AI vendors are pitching clinical workflow tools, documentation assistants, and agentic systems. Some will work. Some carry hidden risk to patient safety and compliance. Without an evaluation framework, every pilot is a bet.
Your teams are moving faster than governance can follow.
Clinical teams are experimenting with AI tools. IT is fielding integration requests. Compliance is asking questions nobody can answer yet. The gap between adoption speed and governance readiness is widening daily.
In regulated healthcare, the cost of getting this wrong isn't just inefficiency.
It's patient safety. It's PHI exposure. It's compliance violations and organizational reputation. The leaders who get this right will shape how healthcare uses AI for the next decade. The ones who don't won't be in the room.

Next cohort starts Apr 28, 2026

View the complete curriculum, faculty profiles, and application process.

Get the Course Outline

AI personalization, live Harvard Medical School faculty, and healthcare-specific frameworks make 2.5 weeks intensive by design — built for leaders who need to be decision-ready now.

After 2.5 weeks, you will

With live Harvard Medical School faculty, the AGENT Framework from its creators, and an AI tutor personalized to your role, you'll be able to:

Clearly explain what agentic AI is — and isn't — to your leadership team, clinical staff, and board, with the credibility to shape the conversation
Identify where agentic AI creates value across your healthcare workflows — from clinical operations to pharma processes to product development
Evaluate AI proposals and vendor claims with structured frameworks for clinical safety, regulatory fit, and organizational readiness — not intuition
Build governance and compliance frameworks with PHI protections, audit trails, human-in-the-loop oversight, and accountability structures built in from day one
Present a complete AI strategy to leadership with conviction — including opportunity mapping, prioritization, and a governance plan ready for compliance review
Know whether an AI deployment is actually working — using rigorous evaluation methods, not vendor-reported metrics or pilot anecdotes
What you'll build

Your Healthcare AI Playbook

Three phases. Two implementation-ready documents. Built on your workflows, personalized to your organization, ready for your leadership team.

1
Phase 1Week 1
When vendors pitch you agentic AI tools, you'll know which ones actually work.
Map your organization's AI landscape, learn evaluation frameworks grounded in causal inference, and identify your highest-value opportunity.
You leave with → Opportunity Scan & Prioritization Matrix
2
Phase 2Week 2
When your compliance team asks about PHI protections, you'll have the framework.
Redesign your chosen workflow with agentic AI, build governance structures with human-in-the-loop oversight, and define PHI safeguards.
You leave with → Workflow Redesign & Governance Framework
3
Phase 3Week 2.5
When leadership wants the AI strategy, you'll present it — not promise it.
Complete your implementation roadmap with success metrics, pilot plan, and change management strategy. Finalize both documents for leadership and compliance review.
You leave with → Implementation Roadmap & Impact Measurement Plan

Between sessions: your AI tutor — trained on the curriculum and your deliverables — is available 24/7. Personalized audio summaries, targeted exercises, and guidance that builds on your specific context.

After the intensive: 4 weeks of extended platform access to refine your deliverables, revisit content, and continue working with the AI tutor.

See example deliverables in the course outline →

Every framework is built for regulated healthcare — PHI protections, audit trails, and compliance requirements are the foundation, not an afterthought.

Why healthcare leaders choose this program

Not every AI program is built for regulated environments. Here's what makes this one different.

Real deliverables, not case studies
Every document you build — strategy, workflow redesign, governance framework — is built on your actual organization, your workflows, your compliance requirements. Ready for your leadership team, not a filing cabinet.
"It clearly made my job easier and more effective with respect to drafting our strategy, vision and putting structure around the experiments we were already doing."
David Friedman, Chief Information Officer
No technical background required
You'll design workflows and governance frameworks, not write code. The AI tutor personalizes every exercise to your experience level — whether you're a clinician, operations leader, or compliance director.
"As someone with a non-technical background but deep interest in AI, this was exactly the bridge I needed. I walked away with a real framework, not just concepts."
Mabel Garcia, Founder
Governance and compliance built in, not bolted on
PHI protections, audit trails, human-in-the-loop controls, and regulatory considerations are woven into every framework from day one. For healthcare leaders, compliance isn't an afterthought — it's the permission structure.
"The instructors help you discern not just how and when AI should be applied, but also when it shouldn't."
Crystal Braunwarth
2.5 weeks of depth, designed around your schedule
Two hours per day, with live sessions on Tuesdays and Thursdays at 12pm ET. AI-guided learning between sessions fits around your clinical or operational responsibilities. Intensive by design — not a limitation, a strategic advantage.
"The most interactive, hands-on AI learning I've had in any coursework — and I have a PhD and master's in medical informatics."
Charlie Kesinger, PhD Medical Informatics

Three layers of support, working together

Harvard Medical School faculty for academic rigor. The AGENT Framework from its creators. An AI tutor that adapts to your context.

Harvard Data Science Review
Faculty & Board Members
Live sessions with Harvard Medical School professors, practicing physicians, and HDSR board members.
Live sessions on Tuesdays and Thursdays
Cohort showcase and peer feedback
Curriculum grounded in HDSR research
DAIN Studios
AGENT Framework Creators
Enterprise AI strategists who've led 100+ transformations at Siemens, Nokia, and Deutsche Telekom.
Hands-on workflow design sessions
Agent prototyping with low-code tools
Healthcare-specific framework templates
AI Campus
Personalized AI Tutor
An AI tutor trained on the curriculum AND your deliverables. Knows your role, your org, your challenges.
Available 24/7 between sessions
Personalized audio summaries daily
Frameworks applied to your specific context
5 live sessions with faculty
2 hours daily self-paced
24/7 AI tutor access
1 month extended platform access

Who you'll learn from

Harvard faculty, Harvard Data Science Review board members and authors, and the creators of the AGENT Framework — with deep expertise in data science, healthcare, and AI strategy.

Prof. Xiao-Li Meng, Harvard University
Prof. Xiao-Li Meng
Whipple V. N. Jones Professor of Statistics, Harvard University
Founding Editor-in-Chief of Harvard Data Science Review and former Dean of Harvard Graduate School of Arts and Sciences. Recipient of the COPSS Presidents' Award. Pioneers advances in statistical methodology, data quality assessment, and the principles of data science.
Professor José Zubizarreta
Prof. José Zubizarreta
Daniel C. Tosteson Professor of Health Care Policy, Harvard Medical School
Associate Editor at Harvard Data Science Review and Professor at the Harvard T.H. Chan School of Public Health. Recipient of the 2025 ASA Health Policy Statistics Mid-Career Excellence Award. Drives innovation in causal inference and AI evaluation to advance healthcare.
Prof. Stephanie Dick, Simon Fraser University
Prof. Stephanie Dick
Associate Professor of Communication, Simon Fraser University
Co-editor of the "Mining the Past" column at Harvard Data Science Review and former Junior Fellow with the Harvard Society of Fellows. Co-organizer of the Sawyer Seminar, "Histories of AI." Provides historical context and ethical frameworks for AI governance in healthcare.
Zirui Song, MD, PhD, Harvard Medical School
Assoc. Prof. Zirui Song, MD, PhD
Associate Professor of Health Care Policy and Medicine, Harvard Medical School
Primary care physician at Massachusetts General Hospital and Associate Editor of JAMA Health Forum. Former Medicare policy advisor at the U.S. Department of Health and Human Services. Bridges health economics and clinical practice to illuminate the policy landscape for AI.
Dr. Ulla Kruhse-Lehtonen, DAIN Studios
Dr. Ulla Kruhse-Lehtonen
Co-Founder & CEO, DAIN Studios Finland
Harvard Data Science Review Board Member and co-creator of the AGENT Framework. Previously headed data and AI departments at Sanoma Media and Nokia. Leads hands-on sessions on agentic workflow design, enterprise AI strategy, and multi-agent orchestration approaches.
Dirk Hofmann, DAIN Studios
Dirk Hofmann
Co-Founder & CEO, DAIN Studios Germany
Harvard Data Science Review Board Member and co-creator of the AGENT Framework. Previously headed global data and AI initiatives at Siemens, Nokia, and Deutsche Telekom. Leads hands-on sessions on healthcare workflow redesign, prototyping, and enterprise AI transformation.
Get full faculty bios and session details in the course outline →
Zirui Song, MD, PhD, Harvard Medical School
"This proactive version of doctoring can allow the human clinician to be more present at the bedside. It can allow the human physician to doctor again in the way that medicine was meant to be practiced."
Zirui Song, MD, PhD — Harvard Medical School & Massachusetts General Hospital

Certificate of Completion from Harvard Data Science Initiative

Upon completion, receive an official Certificate of Completion recognizing your engagement with healthcare AI workflow design, governance, and evaluation.

✓ Official Harvard Data Science Initiative certification
✓ Shareable on LinkedIn
✓ Demonstrates healthcare AI leadership competency
✓ No exam required — complete sessions and deliverables
Harvard Data Science Initiative Certificate of Completion

Common Questions

No. You'll design workflows, not code them. Your technical teams implement what you design. The AI tutor personalizes every framework to your role and experience level — whether you're a clinician, operations leader, or IT director.

Compliance is woven throughout — not an afterthought. PHI protections, audit trails, human-in-the-loop controls, and regulatory considerations (HIPAA, FDA, state requirements) are core to every framework you build.

Yes. The frameworks apply across regulated healthcare. Health systems, pharma, biotech, medical devices, and specialty practices all face similar governance and compliance needs. The AI tutor personalizes frameworks to your specific context.

Same AGENT Framework, but every example, case study, and deliverable template is healthcare-specific. PHI considerations, clinical workflows, and regulatory frameworks are built into every module. Faculty includes Harvard Medical School professors.

All sessions are recorded and available within 2 hours. The AI tutor can help you catch up on key concepts. Most participants attend live, but recordings work fine.

7–9 hours per week. That includes 60-minute live sessions on Tuesdays and Thursdays at 12pm ET, plus roughly 2 hours of self-paced AI-guided content on weekdays. The rest fits around your schedule.

Most participants expense this as professional development. We can provide documentation for your organization. The ROI framework you build often covers the investment multiple times over.

Have more questions? The course outline includes detailed program information →

This isn't about adopting another technology. It's about leading healthcare through its most significant operational transformation.

View the course outline to see the full curriculum, clinical examples, and how AI personalization works for your context.

Duration
2.5 Weeks
Tuition
$1,495 USD
Starts
Apr 28
Fully refundable before program start.

View the course outline

See the full curriculum, faculty details and pricing.

Join leaders from Mayo Clinic, J&J, AstraZeneca, and Novartis