OMB Individually Reported
Rapid Intuitive Pathogen Surveillance (RIPS)
Low riskExact public inventory row
Description
Identify and prioritize incoming sources of potential foodborne outbreaks, maximizing public health by reducing the time burden on regulators.
Detailed example
Probability that a environmental food source is regulated by the FDA.
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
Enhanced WGS signal detection capability allowing regulators to catch emerging foodborne outbreaks before it can cause widespread public harm.
Controls / human review
ATO: No; PIA: Not published
Data needed
Publicly available WGS metadata from NCBI.