Inspiration
Our inspiration came from recognizing how climate change directly impacts human health, especially among vulnerable populations. During the record-breaking heat waves this past summer, one of our team members’ colleagues faced serious pregnancy complications, leading to bed rest due to dehydration and risk of pre-term labor. This personal story highlighted a critical gap: patients and clinicians lack timely, actionable information about environmental health risks.
What it does
CuraVias is a digital health platform that combines patient medical risk factors with real-time severe weather data to send personalized health alerts. Patients receive proactive text messages with tailored recommendations (e.g., hydration, nearby cooling centers, when to seek care), while providers see a dashboard to triage which patients are most at risk. This helps reduce preventable ER visits and supports healthier outcomes during climate-related events.
How we built it
We started by identifying a high-impact use case: pregnant patients during extreme heat events. We designed an alert flow that integrates with secure patient messaging systems (like MyChart) and built a provider dashboard prototype. Our system uses an AI-driven feedback loop that refines alerting and targeting over time, learning from patient responses and outcomes. The build process combined:
- Weather API + risk factor overlay
- Patient SMS interaction mockups
- A clinician dashboard concept for triage
- Privacy and HIPAA-compliant design considerations
Challenges we ran into
- Integrating real-time weather data with clinical risk factors in a meaningful, HIPAA-safe way.
- Designing alerts that are simple and actionable, without overwhelming patients.
- Demonstrating value to multiple stakeholders: patients, providers, and insurers.
- Balancing rapid prototyping at a hackathon with the complexity of healthcare regulations.
Accomplishments that we're proud of
- Created a working patient alert prototype with interactive responses.
- Designed a clinician dashboard that surfaces patient risk in real time.
- Aligned our system with existing health infrastructure (MyChart, EMRs) for smoother adoption.
- Built a solution that addresses not only a technical challenge but also a human story: reducing risks for vulnerable patients during climate crises.
What we learned
- Extreme weather isn’t just an environmental issue; it’s a direct health crisis.
- How to design around HIPAA, privacy, and usability constraints simultaneously.
- That patients and providers need different but complementary alert systems.
- Building with scalability in mind is critical: starting with pregnancy, but adaptable to elderly care, chronic disease, and broader climate risks.
What's next for CuraVias
- Pilot program with OB/GYN partners to test alerts with pregnant patients.
- Collect health outcomes data (e.g., pre-term delivery rates, ER visits) to validate impact.
- Expand patient groups to include the elderly and chronic disease populations most at risk from climate change.
- Refine AI models with more data to improve personalization and predictive accuracy.
- Partner with insurers and public health agencies to scale CuraVias across communities nationwide.
Built With
- css
- dockerfile
- python
- shell
- typescript
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