ExpressCare

Inspiration

We were inspired by the gap between patients in underserved communities and the community health workers who are meant to support them. While these workers play a critical role, there is often no system in place to coordinate where they go or who they help first. This can lead to delays in care and inefficient use of limited resources. We wanted to explore how technology could improve access by streamlining and making this process more responsive.

What it does

ExpressCare is an AI-powered platform that connects patients with nearby community health workers. Patients can request immediate help or schedule visits in advance. The system uses AI to prioritize requests by urgency and provides simple instructions to guide patients while they wait. Health workers receive requests via a live map and can view patient information, such as symptoms, uploaded images, and medical history, before responding.

How we built it

We built a no-code prototype using Figma Make to simulate both the patient and health worker experience. The platform includes a live map interface centered around a real location, role-based login for patients and health workers, and interactive flows for requesting care, scheduling visits, and viewing patient information. We focused on creating a realistic system that demonstrates how AI can assist with triage and coordination.

Challenges we ran into

One challenge was defining the role of AI in a responsible way. Early on, we considered having AI analyze injuries in detail, but we realized that could raise safety concerns. We adjusted our approach to prioritize guidance over diagnosis. Another challenge was balancing the scope of our idea with what we could realistically prototype in a short time.

Accomplishments that we're proud of

We are proud to have built a comprehensive two-sided system that considers both patients and health workers. The prototype clearly shows how requests are prioritized and how information flows between users. We also feel that we created a solution that addresses a real and meaningful problem in healthcare access.

What we learned

We learned that improving healthcare is not always about creating new treatments, but often about improving coordination and access. We also learned how important it is to design technology that supports professionals rather than trying to replace them. Working in a no-code environment pushed us to carefully consider user experience and clarity.

What's next for ExpressCare

Next, we would explore integrating real-time data and refining the AI prioritization system using more detailed inputs. We would also look into partnerships with local health organizations to test the platform in real communities. Expanding features like offline access and language support would be important for reaching more users.

Built With

• figma