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Industry: Healthcare and Behavioral Health

Make improvement stick in hospitals, clinics, and behavioral health

Most of the organizations we work with are not large health systems. They are critical access hospitals, FQHCs, community mental health centers (CMHCs), ambulatory clinics, post-acute providers, and community health nonprofits. Margins are thin, the quality director wears three hats, and every improvement project lands on staff who are already carrying the last one.

That is why we start with the people side of quality improvement, not with technology. A sound process fix still fades when the care team drifts back to the old way. Change management is how you keep that from happening.

Start with the people side of quality improvement

Equipping teams to lead the people side of quality improvement, from theory to impact.

Our Quality Improvement modules layer change management onto the improvement method your teams already use, whether that is PDSA cycles, a Lean Six Sigma belt program, or both. Nothing in your method changes. Each module adds the sponsorship, communication, training, resistance, and reinforcement tools that belong in that phase of the work. Then we put them to work on your live project with facilitated support shaped to what your team needs: working sessions, a half-day workshop, or custom modules built for your work.

See how it works → Lean - PDSA Six Sigma - DMAIC

Why AdoptionLab.AI in healthcare

Founder Matt Humer served as quality improvement coach and project facilitator for ten behavioral health nonprofits across New Hampshire under an Affordable Care Act grant. That work ran on Plan-Do-Study-Act cycles, and it is where he first watched good fixes fade because nobody planned for the people side. He later spent six years leading change management at Duke Energy, a Fortune 150 company, and holds a Lean Six Sigma Black Belt and Prosci change management certification.

The methodology was not invented for AI. It was adapted to AI from decades of clinical quality improvement practice.

More about Matt →

When AI belongs in the picture

AI is optional here. Some organizations bring it in after the people side is working; some never do. When it fits, the same change management discipline is what makes it stick, and the highest-value uses are usually the least glamorous:

  • Clinical documentation. Visit notes, progress notes, and treatment plan drafts, with HIPAA-eligible tooling and a clear human review standard.
  • Prior authorization and appeals. Drafting appeals, summarizing denials, and navigating payor language.
  • Quality reporting and grant work. HEDIS, UDS, state reporting, grant narratives, and board reporting.
  • Internal operations. Policy drafts, training content, and board memos: a lower-risk place to build fluency first.

The compliance shape of healthcare AI

  • HIPAA and BAAs. Any AI tool that touches PHI needs a Business Associate Agreement. The list of vendors offering BAAs has grown: Microsoft Copilot for Microsoft 365 (with the right tenant configuration), AWS Bedrock, Azure OpenAI, several specialized clinical AI vendors. The list of consumer tools that do not offer BAAs has also grown, and using those tools with PHI is a HIPAA violation.
  • 42 CFR Part 2. Behavioral health and substance use treatment data carries additional federal protections beyond HIPAA. AI tools that are HIPAA-eligible are not automatically Part 2-eligible. The policy treatment of these data classes needs to be explicit.
  • State law. Several states have adopted or are adopting AI-specific healthcare regulations (Colorado, California, and others). The policy needs to be regionalized for the states you operate in.
  • Clinical decision support. AI used in clinical decision-making has additional FDA implications depending on how it is positioned. Most generative AI uses we recommend stay clearly outside CDS (the AI drafts, the clinician decides), which keeps the regulatory shape simpler.

How engagements look in healthcare

Most start with the Quality Improvement modules for a PDSA team or a belt cohort. Organizations that are ready for AI can add an AI Policy and Governance Sprint (HIPAA-aware, Part 2-aware) or an AI Pilot Sprint focused on documentation or prior authorization. GenAI+ Belts™ fit clinical and operational leaders who want to build the skill set themselves.

Something to share with your CEO? Read the one-page overview →

Let's chat about your organization

Tell us about your care setting, your improvement program, and the workflows that matter. Thirty minutes, no slides, no obligation.

Let's chat

Or copy the address: mhumer@adoptionlab.ai