Optima Predict applies powerful discrete event simulation to an agency’s historical data, giving emergency medical services, or EMS, teams the ability to determine optimal resource and facility locations, as well as understand the financial impact of operational decisions.
“The purpose of Optima Predict is to address the challenges EMS agencies face when it comes to resource deployment and operational effectiveness,” said Joel Portice, Intermedix CEO. “Our analytics team has identified new, innovative ways to apply and utilize this solution, which further advances our mission of supporting EMS agencies by supplying them with the right methodology to achieve the right results for their individual needs.”
Given that EMS is a dynamic, continuously changing industry, tools such as reports or manual EMS system analyses become out of the date as soon as they are produced. Many EMS agencies are currently basing decisions off this kind of information, as well as knowledge of past experiences, spreadsheet analysis and relying on instincts or ‘gut feelings.’
To provide more context around EMS system decision-making, Intermedix is now offering Optima Predict in three new models: Historic, Foundation and Complex. Each new model utilizes queries from databases that store call information and applies advanced analytical methods to help EMS agencies visualize scenarios and ultimately make better, more informed decisions backed by real evidence.
Historic is ideal for agencies of any size that are starting to explore the use of analytics and need to pull historic data and gauge patterns in overall performance. The purpose of this model is to gain better insight into an agency’s overall EMS system by utilizing customized geospatial environments, and providing users with the opportunity to become familiar with applied analytics so then can potentially transition into more comprehensive models in the future.
Foundation is meant for more traditional EMS agencies interested in extensive ‘what if’ analysis and data-based evidence, whereas Complex serves more intricate agency systems that require an increased level of model accuracy to accommodate unique aspects of their systems and complex deployment rules. Both the Foundation and Complex models provide the flexibility to test endless operational changes and uses the most up-to-date, agency-specific information to provide results and help realize the potential impacts before they take place.
“Our goal is to deliver Optima Predict to a wider audience and slate the product to adapt to the landscape of different EMS agencies,” said Chris Callsen, former assistant chief of operations at Austin-Travis County EMS and current vice president of operations analytics at Intermedix. “From having the analytics to accurately assess historical data, to testing operational changes and understanding their future impact, these models are tailored to meet the specific needs of numerous EMS agencies and create full transparency within these organizations.”
Through this technology, any size EMS agency can better understand how to improve response times and resource utilization all while decreasing operational costs.
Intermedix is a global leader pioneering innovations in data analytics and cloud-based technology to deliver best-in-class revenue cycle management, practice management and emergency management solutions. The company supports more than 500,000 emergency preparedness and response incidents around the world and enables more than 15,000 individual health care providers to focus on delivering excellence in patient care.