Insight
Description
This AI use case is decision support software used by hearings and appeals-level Disability Program adjudicators to help maximize the quality, speed, and consistency of their decision making. The use case analyzes the free text of disability decisions and other case data to offer adjudicators real-time alerts on potential quality issues and case-specific reference information within a web application. The use case increases decision quality and reduces human error.
Detailed example
Insight provides 43 Quality flags, when raised, indicating various inconsistencies, omissions, or Policy non-compliant conditions that exist in the disability decision.
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
The use case increases decision quality and reduces human error.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Manually curated data sets based on random sampling methodology of hearing and appeals case processing management information