Automated Management System of the Bishkek Emergency Medical Center
Origin language: English
Country
Kyrgyzstan
Coverage
Regional
Nb of implementation sites
1
Lead organization
Implementation partners
N/A
Health Focus Area
Emergencies
Services
Administrative
Emergency preparedness and response
Enabling technologies
Artificial Intelligence
Big Data Analytics
Internet of Things
Phone
Software
Standards
ICD-10
Tools
Funding sources
Government funds
Business model
No business model
Funders
Summary
The Bishkek Emergency Medical Center has developed the Automated Management System, a digital solution designed to enhance the daily operations of urban emergency medical services amid resource constraints and high demand. This comprehensive system encompasses the entire workflow of emergency services, including call intake, dispatching, real-time monitoring of ambulance crews, performance analytics and online consultation of population. Its primary advantage lies in boosting control, visibility, and decision-making, particularly in situations where ambulance availability is limited and timely responses are crucial.
By centralizing operational data, the system enables managers to optimize resource allocation, identify service coverage gaps, and manage peak workloads more effectively. It also lays a solid foundation for future advancements, such as predictive analytics, AI-assisted dispatching, and remote medical support.
Key goals include digitizing all emergency call intake and dispatch processes by 2026, reducing ambulance response times in populated areas by at least 15% through improved dispatching, allowing real-time oversight of ambulance operations, establishing a centralized EMS data system for quality monitoring by 2025, and preparing for the phased introduction of AI-based tools in 2026-2027. The focus is primarily on health emergencies, targeting health professionals, health structures, and the general population.
Keywords
SMS Alert
Health information management
Mobile application
Artificial intelligence
Data driven emergency response
Publications
Insights - Lessons learnt
Challenges
N/A
Recommendations
N/A
Recommendations
Projects using similar services
Projects focusing on similar topics
Projects with similar insights
Any additional questions?
iDHA (Project ID)
yey8ac
Project links
https://103.gov.kg/site/ky/master/cemOrigin of information
Project stakeholder
Data source link
N/AAdded to the platform on
2026-04-06
Project editors
Last update by
Albina Salbaeva on 2026-04-06
Number of views
73
WHO classifications




