Benefits of CAD Data Analysis
Dispatch centers hold an immense amount of information for our agencies. Not only do they provide our teams with the details they need to respond to an incident, but they also provide data for us to review in order to improve our response time and reduce human error.
Data generated from Computer Aided Dispatch (CAD) can be reviewed after an incident to provide feedback and to help identify inefficiencies, improve patient care and assess performance. Integrating your CAD system with the right application can provide your agency with a number of advantages, and make analyzing that CAD data after an incident a seamless process.
Deccan’s ADAM (Apparatus Deployment Analysis Module) application uses historical CAD data and GIS map data to create a predictive modeling tool to help your agency with changes in deployment for effective decision making and planning.
Used as a “What if?” scenario based system, ADAM will display multiple outcomes for an incident based on historical data in your CAD system to help you understand the impact of your deployment changes, staffing and station closures. Each scenario is designed according to your agency’s policies and works seamlessly with ESRI GIS mapping.
One of the agencies Deccan’s ADAM application has helped is the Sacramento Fire/EMS Communications Center (SRFECC). SRFECC was looking to add another fire station to help them address their growing population. The construction of a new station was expected to negatively impact the existing fire and EMS response times.
SRFECC required a “What-if” scenario based model to provide them with accurate data to effectively serve their community and maximize their efforts and resources. The ADAM software helped them to calculate and assess the impact a variety of station locations may have on the current daily operations.
Using available population growth and community data, combined with SRFECC’s response protocols, the GIS map-based scenarios helped:
- Model realistic incident workload for the new development
- Assess response times with current resources
- Evaluate the benefit that each candidate station location would give to response times
- With the right data, SRFECC is now able to run as many predictive scenarios as they need to maintain their coverage and respond to their community in an effective manner.