Docketscope Public Comment Processing
Department of Health and Human Services · HHS/CMS/CM
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
- 2023-04 (month precision)Source: Apr-23
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Administrative Functions
- Operational functions
- Risk scoring and triage Derived by keyword rules; see methodology
Problem the AI is intended to solve
Docketscope is the platform used to triage public comments submitted on the OPPS/ASC and ESRD PPS proposed rules.
Expected benefits
Allows division staff to compile, organize, and process thousands of comments that inform final rulemaking. This AI functionality may contribute to greater efficiencies in reviewing public comments by automating the process of identifying identical comments and allowing for quicker processing of comments with similar themes.
System outputs
The AI functionalities used in Docketscope include a clustering feature that automatically groups similar public comments together using text analysis and heuristic techniques, an issue mapping functionality that depends on machine learning to render HTML document versions, and a bulk processing comment feature which uses a rules-based system and logic programming to identify public comments relevant to a specific topic.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- 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
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- Public comments from regulations.gov
- 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.
Potential impacts and how they were identified
Not reported