Last updated June 18, 2026All sections
1Why research
Coordinating continuity of care across fragmented systems is not a solved problem. Every program teaches something about what works, what fails, and why. If that learning stays locked inside one organization, the whole field has to relearn it. Documenting it turns hard experience into a durable asset.
2What we document
- Case studies — how specific programs were designed, run, and adapted
- Program evaluations — honest assessments of outcomes, including what did not work
- Healthcare operations research — how distributed, offline-first care delivery performs in the field
- Humanitarian healthcare innovation — patterns that transfer across contexts and partners
- AI-assisted care coordination — where automated assistance helps, and where it must stay out
3Open by default
Findings are built on pseudonymous, aggregate data and are intended to be shared with the communities, partners, and researchers who can use them. Sharing what we learn is also a form of accountability: it invites scrutiny and keeps our claims honest.
A new model of healthcare delivery is only as valuable as the lessons it leaves behind for the people who come next.