FREE ONLINE COURSE SERIES

Health AI for low-resource healthcare settings

Course series overview

Healthcare is under enormous pressure. Margins are razor-thin, infrastructure is aging, and a potential $1 trillion in Medicaid cuts are looming. At the same time, 65% of hospitals nationwide report using AI or predictive models to improve care and operations, yet adoption in rural and safety-net hospitals is only 8%.

These realities put safety-net and rural hospitals at the greatest risk of falling behind. With staff already stretched thin and resources scarce, any new responsibility competes with patient care, even when it involves AI tools that could reduce burden, improve outcomes, and help organizations stay sustainable. At the same time, your workforce needs upskilling to remain competitive and confident in an increasingly digital healthcare environment.

Our new free course series, Health AI for low-resource healthcare settings, the first resources to be launched as we build on the promise of Healthcare 2030, provides your team with practical, accessible AI training that strengthens your workforce with future-ready skills while reducing, not adding to, their daily burden.

COURSE 1

Health AI Essentials

Enroll now

Health AI Essentials: A primer for aspiring AI champions in low-resource healthcare settings is a 90-minute, self-paced course designed for clinical and operations leaders in safety-net and low-resource healthcare settings who aim to develop literacy and confidence in AI.

Learning outcomes

Build foundational AI literacy in plain language – what AI tools are, and what they are not.
Identify ways AI can support clinical and operational challenges in low-resource settings.
Recognize ethical, operational, and governance risks before adoption.

Why it matters

With the right knowledge, healthcare teams can avoid costly missteps, strengthen care delivery, and ensure patients and clinicians benefit from AI innovations.

What you’ll take back to your team

The right questions to ask vendors before adoption
Evidence from the healthcare ecosystem and published literature, in real-world settings, tackling problems like yours
Actionable checklists to build ethical guardrails and guiding principles to champion AI adoption in your setting

“I wasn’t sure what to expect, but this course surprised me. It explained AI in a way that actually connected to the kinds of problems we deal with in a small clinic. It helped me see both the possibilities and the limits. That balance made the information feel trustworthy.”

– Shannon Cole, DNP, APRN-BC
Jennie Stuart Health

“This course represents a true milestone in advancing the responsible use of AI in health. DiMe has crafted a curriculum that not only clarifies complex concepts but also grounds them in the realities of clinical practice and patient impact. It empowers participants to move beyond hype and into meaningful application, building confidence in deploying AI responsibly and effectively across the healthcare ecosystem.”

– Emily Lewis, MS, CPDHTS, CCRP | Artificial Intelligence and Innovation Lead, Digital Care Transformation
UCB

“This is the most comprehensive and engaging discussion of AI in healthcare I’ve encountered. The mix of clear explanations, key takeaways, interactive tools, and diverse resources made complex topics easy to understand and apply. It far exceeded my expectations and left me confident in navigating both the opportunities and challenges of AI in healthcare.”

– Camellia Koleyni, MD
Vanderbilt University Medical Center

COURSE 2 | COMING IN NOVEMBER

Health AI Implementation

Health AI implementation: A practical roadmap for low-resource settings.

This step-by-step course builds on the Essentials AI course with actionable frameworks to help you select, deploy, and scale AI tools responsibly within your healthcare setting. Through practical examples and step-by-step guidance, this course helps you move from AI exploration to confident, ethical, and effective implementation.

Course series details

Choose your path

Move sequentially or start with the lesson that meets your current needs.*

Learn at your own pace

Courses are self-paced, flexible and cater to a variety of learning styles

Earn recognition

Receive a certificate of completion to include in resumes and social profiles

*For example, if you are new to AI in healthcare, you can start with Health AI Essentials (Course 1) to build your foundational knowledge on the topic. If you are already contracting with a vendor or running a pilot, you can focus on risk mitigation and change management content in the Health AI Implementation (Course 2). This Digital Medicine Academy course series is designed to meet you wherever you are in your AI education journey.

Our funder

Funded by the Patrick J. McGovern Foundation and developed by DiMe, these free courses will give you the tools you need to learn about, plan, select, deploy, and sustain fit-for-purpose AI in your care settings.

More courses coming soon

The Digital Medicine Academy®️ is committed to offering valuable lessons in pace with the evolving digital healthcare field. Check back for new course offerings.

More resources to support you

The Playbook: Implementing AI in Healthcare

70% of AI pilots fail because of people and process challenges, not the technology itself. Poorly chosen tools can drain budgets, stall workflows, and erode trust. Dive into The Playbook: Implementing AI in Healthcare, a practical guide designed to help health systems adopt AI responsibly and effectively.

Get the Playbook