HHS · no agency ID · record R0798

TIC URL Automation

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

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
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

(Marketplace) Issuers applying for QHP (Qualified Health Plan) certification, including issuers offering off-Exchange SADPs (stand alone dental plans), must submit a Transparency in Coverage URL in MPMS that leads to a page on the issuer's website where required information is posted. The current review process requires reviewers to manually read and verify the language presented on each TIC URL for compliance, which is both time-consuming and labor-intensive.

Expected benefits

AI can expedite the process by enabling AI algorithms to rapidly scan URL content, to identify if the required language is present and compliant, reducing the review time compared to manual reading. Additionally, AI can manage and review large volumes of URL content, further accelerating the review process.

System outputs

Reduce manual review, apply uniform review criteria across all URLs, ensuring that the review is consistent and free from the variability that can occur across multiple reviewers

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: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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