H4P RapidResponse™ is an advanced solution that revolutionizes healthcare emergency logistics by optimizing the dispatch of ambulances and medical resources through the use of AI, real-time data, urban mobility, and Digital Twin simulation models.
Developed within the Health4Planet (H4P) framework, this system reduces arrival times to healthcare emergencies by up to 60%, saving lives and improving operational efficiency.
Available as a SaaS solution, on-premise, or integrated into municipal Smart Cities platforms.
Request a demo or pilot with real-world data from your city or region.
What does it do?
- Predicts emergency demand by area, day, and time using AI and historical data.
- Optimizes dynamic ambulance location based on traffic, mobility patterns, and healthcare risk zones.
- Recommends real-time routes with healthcare priorities and smart intersections.
- Uses urban and hospital Digital Twin models to simulate scenarios, plan, and preemptively relocate resources.
📈 Measured and validated impact
🔁 Reduction in emergency response time:
- Based on real-world experiences in smart cities like London and Singapore.
- 40% to 60% improvement in response times using mobility data and AI.
📍 Practical example:
- Average arrival time without system: 12-15 minutes.
- With H4P RapidResponse™: 6-9 minutes (optimized for urban and semi-urban scenarios).
🎯 Direct impact:
- Increased survival rates from cardiac arrests and serious accidents.
- Reduction in after-effects from delayed medical care.
- Savings in hospital costs and litigation due to failure to respond.
🛠️ Technical Features
- Integration with 112/061 command centers and fleet management systems.
- Demand prediction module with machine learning based on variables such as mass events, weather conditions, population age, and epidemiological history.
- Compatible with municipal Digital Twins and urban platforms such as FIWARE, Sentilo, etc.
- App for healthcare technicians and coordinators, with a dynamic map of risks and critical points.
- Interoperability with HL7, FHIR, and eHealth standards.
Benefits
- Cardiovascular emergencies: Prioritizes high-incidence areas and critical times (where every minute counts).
- Mass event planning: With predictions of crowd concentrations and health risk points.
- Resilience to climate-related disasters: Intelligent ambulance routing in the context of road closures, flooding, or evacuations.
- Strategic resource deployment: Assigns mobile emergency units based on predictions of health hotspots by neighborhood, weather, time of day, and population.
Additional Modules
- Municipal or regional health emergency dashboard.
- Scenario simulation panel for training with Digital Twins.
- Health equity module: incorporates vulnerable areas and socioeconomic data into prioritization.
- API for insurers, healthcare providers, and hospitals.
Advantages
- Inspired by proven models in smart cities.
- Reduces response time by up to 60%.
- Aligned with SDG 3 (Good Health and Well-being) and SDG 11 (Sustainable Cities).
- Complies with GDPR and health data security regulations.
Ready for Public Procurement of Innovation (PPI) and NextGen projects.
