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How Healthcare-Focused Non-Profits Are Using AI to Tackle Burnout and Strengthen Patient Engagement
Burnout is one of the most pressing challenges facing healthcare-focused non-profits. From managing complex care documentation to navigating ongoing staffing shortages, leaders are seeking new ways to reduce administrative burden and free up time for mission-critical work.
In a recent AI Consortium discussion hosted by HSO and Microsoft, participants came together to share how they’re beginning to explore and apply AI to support their teams and better serve their communities.
Common Challenges and Frustrations
During the session, attendees cited familiar issues:
- Manual documentation and plan reconciliation across care teams that results in staff fatigue and inefficiencies.
- Time-consuming audits and billing processes that divert energy from frontline care.
- Limited capacity due to staffing constraints and overlapping responsibilities.
These challenges not only impact staff wellbeing, but also affect patient engagement and the quality of care.
Where AI Is Already Making a Difference
Participants shared a range of emerging use cases where AI is helping to ease these burdens:
- Automating the review of care plans to identify inconsistencies across documents written by multiple team members.
- Accelerating internal investigations by enabling multilingual interviews and reducing time-to-resolution.
- Streamlining billing validation through automated rule-based reviews of thousands of records in seconds.
- Creating macros and reports that once took hours to build manually—now generated with simple prompts.
These AI applications are saving teams dozens of hours each week, offering staff more time to focus on care delivery and program expansion.
Early-Stage Exploration and Lessons Learned
Not everyone is far along in their AI journey—but even those just starting are laying the foundation by centralizing data, identifying repeatable pain points, and experimenting with tools like chatbots, Copilot, and Fabric.
A consistent theme: while the tech itself is often approachable, encouraging adoption and building a culture of experimentation are critical to long-term success.
What's Next
Participants expressed interest in:
- Ambient clinical documentation tools to ease note-taking and support billing accuracy.
- AI-powered resource planning to better align team availability with project needs.
- Responsible implementation that ensures data privacy, regulatory compliance, and equitable use.
Watch the Discussion and Join the Conversation
This was the first in a new series of peer-led conversations designed to help healthcare non-profits learn from each other as they explore the role of AI in reducing burnout and improving patient care. If you missed the live session, there are several ways you can still take part:
- Watch the on-demand recording: Hear firsthand how your peers are thinking about AI adoption and learn from real use cases and challenges shared in the discussion.
- Join the AI Consortium discussion board: Ask questions, share your own experiences, and connect with other healthcare non-profits working through similar issues. You’ll also find session materials and dedicated threads to keep the conversation going.
- Join us for the next two conversations: We’re continuing the conversation with two more virtual sessions—each one focused on a specific area of opportunity. You can listen to one or both, and links will be shared through the community board and follow-up emails.
Keep the Momentum Going
Whether you’re just beginning to explore AI or already piloting solutions, these conversations offer a valuable opportunity to learn from others in the field, ask questions, and share what’s working. As the healthcare landscape continues to evolve, building a community of support and shared learning can be just as important as the technology itself. We hope you’ll watch the discussion, join the forum, and be part of what’s next.