Digital Service for Rapid Stroke Identification and Hospital Referral in Small Healthcare Facilities

Many small hospitals and clinics in the region lack the capability to quickly identify stroke symptoms and refer patients promptly to appropriately equipped hospitals. This delays critical treatment, increases mishandling cases, and reduces patient survival rates during the narrow time window for effective intervention.

A regional healthcare organization operating small hospitals, clinics, and pharmacies aiming to improve emergency response for stroke patients.

• Develop a digital service that provides healthcare professionals with vital information to recognize stroke symptoms efficiently.
• Implement a feature to locate the nearest equipped hospital for immediate referral.
• Enable quick access to hospital details, contact options, and emergency services integration.
• Achieve significant user engagement, with target metrics such as 12,000+ users within the first year.
• Encourage emergency calls through the platform, aiming for increased usage of 911 services from the application.
• Expand the service to additional regions based on initial success, incorporating new features and stakeholder feedback.

• Symptom assessment tool for quick stroke identification based on user input
• Real-time geolocation service to find the nearest hospitals with stroke treatment capabilities
• Searchable hospital database with detailed information and contact options
• Emergency call button integrated within the app for immediate 911 dialing
• User activity tracking to measure feature engagement and service usage
• Iterative development approach with phased feature rollouts and feedback incorporation

• Geolocation APIs for hospital location mapping
• Hospital database systems for real-time availability and capabilities
• Emergency service communication systems
• Analytics tools for user behavior and usage metrics

• High availability with 99.9% uptime
• Fast response times with sub-second load for critical features
• Data security compliant with healthcare privacy regulations (e.g., HIPAA or equivalent)
• Scalable infrastructure to support upwards of 20,000 concurrent users in peak times
• Responsive design for accessibility on multiple device types

The implementation of this platform aims to significantly reduce the time to proper diagnosis and treatment for stroke patients, with initial usage goals exceeding 12,000 users in the first year, and increased emergency calls (targeting 0.5% of app users). The expansion to additional regions is anticipated to improve stroke outcomes geographically, saving lives and reducing mishandled cases through faster hospital referrals and better awareness.