Use Case: Healthcare Strategy and SDoH Integration

I’ve led healthcare initiatives where Social Determinants of Health (SDoH), mental health equity, and systems change converge. With AI, I was able to accelerate the most complex part: designing integrated strategies that actually work — across programs, funding, and teams.

What this looks like in action:

• Strategic Architecture: Used AI to design multiple SDoH programs (e.g., food access, community wellness, behavioral health navigation) with distinct objectives — but unified metrics and mutually reinforcing components.

• Program Design Logic: Mapped outcomes to activities, selected evidence-informed models, and defined how each program would be resourced, staffed, and scaled. AI helped surface tension points and close gaps between ideal models and real-world constraints.

• Cross-Program Leverage: Designed strategies where data, outreach, and personnel could serve multiple functions — reducing redundancy and enhancing value across initiatives.

• Objective & Metric Alignment: Created a shared measurement framework across programs, linking individual deliverables to collective impact. Used AI to test phrasing, logic, and scenarios for funder alignment.

• Stakeholder Synthesis: Drafted slide decks, briefs, and messaging pathways for clinicians, community leaders, funders, and board members — helping each group see their role in a coherent whole.

Result:
What normally takes weeks of whiteboarding, stakeholder meetings, and documentation drafts was reduced to hours. But more importantly — the final strategies were tighter, cleaner, and more aligned across levels. AI didn’t replace thinking. It let me hold more complexity and resolve it into something actionable.