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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0742

Feedback Analysis Solution (FAS)

Department of Health and Human Services · HHS/CMS/CCSQ

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2021-09 (month precision)Source: Sep-21
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Information Technology
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Speeds up the manual and time-consuming process of analyzing public comments on frequently posted regulations.gov and FDMS dockets by employing advanced natural language processing and machine learning technologies.

Expected benefits

Speeds up the manual and time-consuming process of analyzing public comments on frequently posted regulations.gov and FDMS dockets by employing advanced natural language processing and machine learning technologies. FAS help categorize stakeholder comments or feedback (collected in multiple venues), thereby enabling analysts to use the system to quickly identify comments that may impact program/policy decisions.

System outputs

FAS categorize stakeholder feedback (collected in multiple venues), thereby enabling CMS analysts to use the system to quickly identify comments that may impact program/policy decisions. The system utilizes Artificial Intelligence (AI) to minimize bias through topic, theme, stakeholders, and sentiment models that standardize the analysis process, and provide insights that were previously difficult to obtain manually.

Technology

AI classification
Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s)
CDRAP
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
Not reported
Vendors (standardized)
None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII
No
Privacy Impact Assessment
Not reported
Authorization to Operate
Yes
Demographic features
k) None of the above
Training and evaluation data
Use API to comments from Regulations.gov, FDMS, Federal Register.
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported