Hospital Ambulance management system

Hospital Ambulance Management System (HAMS)

HAMS should focus on the system’s ability to improve efficiency, communication, and patient care through advanced technology.

Project Overview

A leading hospital group aiming to modernize and streamline its ambulance fleet management to improve response times, patient tracking, and real-time communication with hospital teams.

Objective

The client wanted a comprehensive Ambulance Management System (AMS) to

Optimize dispatch operations.

Provide real-time GPS tracking for ambulances.

Improve communication between ambulances and hospital staff.

Enhance emergency response through real-time patient data exchange.

Challenges

Manual Dispatching:

The hospital was using a manual process to dispatch ambulances, leading to delays in emergency response times.

Lack of Real-Time Tracking:

The existing system had no GPS tracking, which made it difficult for dispatchers to assign the nearest available ambulance.

Communication Gaps:

Ambulance personnel had no direct communication with hospital emergency departments, resulting in delays in preparing for incoming patients.

Resource Utilization:

Ambulances were often under-utilized or over-scheduled due to lack of effective fleet management.

Solution

Custom-Built Ambulance Management System (AMS): We developed a cloud-based, mobile-first solution that integrates dispatch management, GPS tracking, and communication features into a unified platform.

Key Features

Automated Dispatching:

The system automatically assigns the closest available ambulance to an emergency based on GPS location.

Real-Time GPS Tracking:

The fleet is tracked in real-time, enabling the hospital and dispatch center to monitor ambulance locations and arrival times.

Communication Platform:

Integrated a secure communication channel between ambulance staff and hospital teams, allowing real-time updates on patient condition.

Resource Management:

The system provides analytics to track ambulance usage, optimize schedules, and predict maintenance needs.

Electronic Health Record (EHR) Integration:

Direct integration with the hospital’s existing EHR system allows ambulance personnel to send patient data (vital signs, treatment notes) in real-time to the emergency room, enabling quicker patient care upon arrival.

Technology Stack

Frontend:

React.js for web and mobile applications to provide a seamless, user-friendly interface for dispatchers and hospital staff.

Backend:

Node.js and Express.js for handling real-time data and system operations.

Database:

MySQL for secure, scalable data storage, ensuring quick access to patient and ambulance data.

Mobile App:

React Native was used to develop a mobile app for ambulance drivers to receive dispatch notifications, GPS navigation, and communicate with hospital staff.

Real-Time Communication:

WebSocket technology for real-time updates and communication between ambulances and the hospital.

Cloud Infrastructure:

Deployed on AWS for scalability, security, and reliability.

Results & Impact

Improved Response Times:

Ambulance dispatch time was reduced by 30%, significantly improving the hospital's ability to respond to emergencies.

Real-Time Data Sharing:

The system enabled ambulance crews to share patient data directly with the ER team, allowing them to prepare before the ambulance arrived, reducing patient waiting times by 20%.

Optimized Fleet Utilization:

The hospital was able to better manage its ambulance fleet, reducing unnecessary deployments and cutting operational costs by 15%.

Enhanced Coordination:

With real-time tracking and communication, the coordination between the dispatch center, ambulance personnel, and the hospital became more efficient, improving overall patient outcomes.

Scalability:

The cloud-based infrastructure allowed the system to scale seamlessly as the hospital expanded its operations.

Conclusion

The Hospital Ambulance Management System proved to be a vital tool in optimizing emergency medical services. By automating dispatching, enabling real-time communication, and integrating patient data into hospital systems, the solution delivered measurable improvements in response time, fleet management, and patient care.