OMB Individually Reported
ClinicalTrials.gov Protocol Registration and Results System Review Assistant
Low riskExact public inventory row
Description
The quality control review process at ClinicalTrials.gov is time- and resource-intensive.
Detailed example
Prediction of whether a quality issue is present in study registration or results records.
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
Some potential benefits include increased efficiency, consistent reviews, resource optimization, and increased scalability.
Controls / human review
ATO: No; PIA: Not published
Data needed
ClinicalTrials.gov study record submissions