FluDemic™ AI Prediction Center is a Syndromic Surveillance Model that tracks and predicts COVID-19 and Influenza-like Illness to address the immediate needs of health systems and the communities they serve. This is achieved by sourcing clinical and non-clinical datasets into the FluDemic Machine Learning Logic, applying algorithms using regression models (and others) to support and predict hot-spot detections, as well as socioeconomic risk for spread. By collecting these datasets, we make granular predictions on possible upcoming surges of Emergency Room visits and hospitalizations in a particular community based on its socioeconomic characteristics.
The Spread Visualizer provides a real-time view of the spread of COVID-19 and Influenza for any U.S. Geography with the ability to drill down to the Census Tract and Block Group Levels across the US. You can set a time period to view the spread within a selected geography. Data is polled multiple times per day. Users can leverage these clinical and non-clinical datasets with our AI/ML algorithms to predict future surges and pandemics.
The Trend Analyzer provides key metrics for multiple patient cohorts. This innovative visualization tool captures historical and real-time metrics that make an impact allowing the user to view cases, admissions and outcomes at a granular level.
The Impact Intelligence Analysis is where most of the predictive modeling is taking place. Our proprietary machine learning algorithms applied to different patient cohorts forecasts geographies that are the most susceptible for future surges and outbreaks.
Data Driven Metrics™ (DDM™) is a national population health and quality improvement model that implements a simple and effective approach to educate and motivate clinicians to improve quality of care provided in their practice.