SAMUR Uses Enhanced Business Analytics to Improve Emergency Medical Care in Madrid
 
 

SAMUR Uses Enhanced Business Analytics to Improve Emergency Medical Care in Madrid

  • Oracle Customer:  Samur
    Location:  Madrid, Spain
    Industry:  Public Sector
    Employees:  608

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SAMUR’s mission is to quickly and efficiently solve Madrid’s medical emergencies. The organization manages and coordinates medical attention in situations that present serious danger to the collective population or are significant catastrophes.

 
 

 
 

Challenges

A word from Samur

  • “Oracle Business Intelligence Enterprise Edition has significantly improved our information quality. It provides our medical professionals with reliable, real-time information that ensures we can deliver optimal medical care to Madrid residents.” – Javier Cucó, Chief, Innovation and Development Department, General Emergency Board for Madrid´s Town Hall

  • Acquire real-time emergency service information, such as workloads, unit response times, service overloads, and identify service needs for each emergency situation
  • Analyze the time, work done, and procedures followed for each emergency to improve procedures and services to citizens and motivate SAMUR’s professionals
  • Establish a unique information system to measure and verify progress against established departmental service goals

Solutions

Oracle Product and Services

  • Implemented Oracle Business Intelligence Enterprise Edition to quickly acquire and graphically present information on key service indicators, such as workload, response time, professional evaluation, and resource activations needed to accelerate and improve service quality
  • Acquired the ability to map and analyze the location of each emergency incident to determine the best routes to each site and facilitate faster response times
  • Generated results and graphics tables quickly with Oracle Business Intelligence Answers, providing emergency response teams with information on similar incidents and guidance regarding which medical procedures to deploy
  • Established data analysis by response time, vehicle model, medical equipment, doctors, and volunteers, to drive decision-making and improve service
  • Obtained absolute values, evolutions, trends, and comparisons among people and services involved in emergency incidents
  • Transformed raw data into completely reliable information reflecting the actual situation to provide key insights toward more efficient medical care in emergency situations