HHS · no agency ID · record R0811
Production Operations Anomaly Analysis
Department of Health and Human Services · HHS/CMS/OIT
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2025-06 (month precision)Source: Jun-25
- 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
Identify potential production issues proactively and refer for human analysis
Expected benefits
Early identification of issues and improved response time, ensure accuracy of bills
System outputs
Flags anomalies that stray far from its predictions
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)
- Medicare Enrollment & Premium Billing Systems (MEPBS)
- Custom-developed code
- Yes
- 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
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- Production Operational data, high level billing data, state and agency summarized billing data, beneficiary level billing data in the future (no PII/PHI)
- 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