H.R.1142 - To amend the Public Health Service Act to direct the Secretary of Health and Human Services to establish drug adherence guidelines, and for other purposes.

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-02-07

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, with only brief implicit references to AI system safety concerns through the mandate to use AI/ML technologies for drug adherence. The primary focus is on healthcare policy and drug adherence rather than AI risk mitigation.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Health Care & Social Assistance

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Information
• Finance & Insurance
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This bill primarily governs the Health Care and Social Assistance sector by mandating AI-enabled drug adherence guidelines for Medicare. It also has implications for the Information sector through the requirement to incorporate AI/ML technologies, and potentially affects the Finance and Insurance sector given Medicare's role in healthcare financing.

Legislative Status

Hard Law

Legislative Status Summary

This is a proposed federal statute with mandatory language requiring the Secretary of Health and Human Services to establish drug adherence guidelines. It uses binding legal language ('shall establish', 'shall incorporate') and would create enforceable legal obligations once enacted.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Senate and House of Representatives of the United States of America
• Summary: The document is a congressional bill proposed by the U.S. Congress, as indicated by the standard legislative format and enacting clause.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Entities: Secretary of Health and Human Services; Medicare Part B and D drug providers
• Summary: The bill targets the Secretary of HHS who must establish guidelines, and implicitly targets entities involved in Medicare drug provision who would need to comply with the 90% adherence goal. The requirement to incorporate AI/ML technologies suggests AI developers in healthcare may also be targets.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Health and Human Services; Department of Health and Human Services
• Summary: The Secretary of HHS is given the authority to establish and presumably enforce the drug adherence guidelines through the Department's regulatory powers.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Health and Human Services
• Summary: While not explicitly stated, the Secretary of HHS would be responsible for monitoring achievement of the 90% adherence goal as the entity establishing the guidelines.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Build and Use Model
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the deployment and operational monitoring stages of AI systems, as it mandates the incorporation of AI/ML technologies into drug adherence guidelines and sets a specific performance goal (90% adherence) that would require ongoing monitoring. There is minimal coverage of earlier lifecycle stages.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

No technical scope terms identified.

Technical Scope Summary

The document mentions AI and machine learning technologies in general terms but does not specify particular types of AI systems, models, or technical thresholds. It does not distinguish between different AI categories such as general purpose, task-specific, generative, or predictive AI.