Nowcasting Injury Trends
Description
Providing real-time estimates of injury and death trends to enhance situational awareness and expedite surveillance and research activities, especially when gold standard data are delayed.
Detailed example
An internal-facing, interactive dashboard that provides week-to-week national nowcasts of injury death trends, using multiple traditional and non-traditional datasets and a multi-stage machine learning pipeline.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Enables timelier identification and investigation of emerging injury trends, improving the speed and effectiveness of public health surveillance and response when gold standard data are not yet available.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Emergency Department data from the National Syndromic Surveillance Program.