Technology-Enabled Care Delivery: From Digital Medicine to AI
- Certificate Program
Develop the clinical, operational, and regulatory perspective required to lead the adoption and scaling of digital and AI-driven care models.
- Blended
This program requires attendance in-person and online.
Boston
$8,000 Save with early registration
Please see more program fee information below.
Fee increases to $8,500 after
Certificate
A certificate of completion will be awarded at the end of this program.
Two Months, Three Days In Person
Before the in-person event, you will receive foundational content, attend webinars, and engage in peer discussions. After the event, you will work with a team to complete a capstone project.
On This Page
Overview
Health care delivery is entering a period of profound transformation. Advances in digital medicine and artificial intelligence—combined with evolving payment models and regulatory frameworks—are reshaping how care is designed, delivered, and sustained. In this new environment, leaders must understand not only emerging technologies, but also the clinical, operational, and policy realities that determine whether those technologies succeed in practice.
This hybrid postgraduate certificate program integrates clinical, regulatory, and market perspectives to provide participants with a comprehensive framework for evaluating, adopting, and scaling technology-enabled models of care. Through case-based learning, applied exercises, and interactive on-campus sessions in Boston, participants move beyond theoretical discussions to examine how tools such as remote patient monitoring, hospital-at-home models, and artificial intelligence (AI) driven administrative, diagnostic, and treatment support solutions can be responsibly implemented within today’s complex health care systems.
The curriculum emphasizes practical implementation grounded in evidence and structured need-finding methodologies, helping leaders avoid costly missteps and align innovation with real clinical and operational priorities. Participants conclude the program by developing a workplace-ready proposal that addresses a pressing challenge within their own institution, ensuring they return prepared to lead sustainable, technology-enabled transformation in health care delivery.
In-Person Workshop
- October 24–26, 2026
- Boston, MA
Learning Objectives
- Gain the foundational literacy needed to understand the architecture, terminology, and real-world applications of digital medicine and artificial intelligence in clinical care.
- Identify high-impact opportunities for technology-enabled care using structured need-finding frameworks that align innovation with true clinical and operational priorities.
- Evaluate remote patient monitoring, hospital-at-home, virtual-first models, digital health applications, and AI-driven tools within existing workflows and delivery systems.
- Analyze current payment models, regulatory requirements, and policy environments to ensure financial sustainability and compliance.
- Understand the complexities of building, implementing, and scaling “tough tech” solutions in hospital and health system settings.
- Apply practical skills in AI prompt engineering and other hands-on digital tools to improve efficiency and day-to-day clinical practice.
- Develop frameworks to manage data privacy, security, and ethical risks associated with emerging technologies.
- Assess real-world case studies to distinguish between technologies that demonstrate measurable value and those that may create unnecessary cost or complexity.
- Collaborate in interdisciplinary teams to design a practical, workplace-ready implementation proposal.
- Return to your organization prepared to lead sustainable, technology-enabled transformation in care delivery.
Who Should Participate
Clinical, operational, and administrative leaders responsible for evaluating, implementing, supporting, or scaling technology-enabled models of care within hospitals and health systems.
About the Program
This program develops the strategic, operational, and practical skills required to lead technology-enabled transformation in health care delivery. Participants will build fluency in digital medicine, artificial intelligence, payment policy, and regulatory strategy while learning how to evaluate and implement innovations within complex clinical environments. Designed for both experienced leaders and emerging innovators, the program strengthens participants’ ability to translate digital opportunity into sustainable clinical impact.
Upon program completion, participants will:
- Apply structured frameworks to evaluate digital technologies and align them with real clinical and operational needs.
- Assess regulatory, payment, and policy considerations before implementing new models of care.
- Develop practical, workplace-ready strategies for adopting and scaling technology-enabled solutions within their own institutions.
Program Format
This hybrid program combines preparatory online sessions with a required three-day, in-person workshop in Boston. Prior to the on-campus experience, participants engage in structured virtual learning designed to establish foundational knowledge and shared vocabulary.
During the in-person workshop, participants take part in case-based discussions, interactive sessions, and hands-on skill development exercises. The program culminates in the development of a formal implementation proposal addressing a real-world challenge in the participant’s home organization.
Who Should Attend
This program is designed for highly motivated clinical, operational, and administrative leaders responsible for evaluating, implementing, supporting, or scaling technology-enabled models of care within hospitals and health systems.
Physicians and nursing leaders, service line directors, operations and strategy managers, and other professionals engaged in digital transformation initiatives are ideal candidates for this program.
Candidates should hold an advanced professional or doctoral-level degree and have experience working within clinical, health system, or health care innovation environments.
Curriculum
Program participants will engage in a structured blend of preparatory online learning and an immersive, in-person workshop experience. Foundational sessions introduce the architecture of digital medicine, artificial intelligence, payment policy, and regulatory strategy, establishing a shared framework for evaluating technology-enabled care models.
Interactive case discussions, applied exercises, and hands-on skill-building sessions deepen participants’ understanding of hospital-at-home programs, remote patient monitoring, digital health applications, and AI-driven clinical and administrative tools. Throughout the curriculum, emphasis is placed on practical implementation within existing clinical workflows and complex health system environments.
The program culminates in the development of a formal workplace implementation proposal. This capstone project requires participants to apply structured need-finding methodologies, assess stakeholders and regulatory considerations, and design a detailed plan for deploying an existing digital solution to address a specific challenge within their home institution.
What You Earn
Learners who complete the program requirements will earn a Certificate of Completion. After completing this program, you will be part of a global cohort of health care leaders and earn a certificate of completion from Harvard Medical School. You will become an integral part of a worldwide network of past participants of Harvard Medical School’s professional, corporate, and continuing education programs and courses.
Program Faculty and Teaching Team
William Gordon
MD, MBI, FAMIA
- Faculty Co-Director, Technology-Enabled Care Delivery: From Digital Medicine to AI
- Staff Physician, Brigham and Women's Hospital
- Assistant Professor of Medicine and Biomedical Informatics, Harvard Medical School
Ariel Stern
PhD
- Faculty Co-Director, Technology-Enabled Care Delivery: From Digital Medicine to AI
- Alexander von Humboldt Professor, Chair for Digital Health, Economics & Policy, Hasso Plattner Institute, University of Potsdam
- Adjunct Professor, Windreich Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai
Program Fee
Registrants who submit a complete registration by the early deadline will receive $500 off the program fee. This discount cannot be combined with any program fee assistance awarded. Program fees do not include educational materials. For more information, visit Learner Policies.
| Program Fee | |
|---|---|
| Early Registration Deadline: August 26, 2026 | $8,000 |
| Final Registration Deadline: September 15, 2026 | $8,500 |
Learner Stories and Insights
The Human Side of AI Innovation in Health Care
Effective AI leadership in health care centers on people, trust, and systems—requiring leaders who pair clinical insight and ethical judgment with the ability to integrate technology thoughtfully into real-world workflows.
Making AI Matter: A Leadership Playbook for Health Care Organizations
Strategic AI adoption in health care depends less on the technology itself and more on evidence-based decision-making, thoughtful leadership, and cultures that align innovation with real clinical workflows.
How Three Harvard Medical School Experts See AI Reshaping Health Care Delivery
AI is reshaping medicine by enhancing care, safety, and education. Experts stress thoughtful use, equity, and human judgment to ensure technology augments, not replaces, clinicians.
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