Maverick Minute (Page 2)

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04/26/26

State AI Activity: Q1 2026

State legislatures are ramping up efforts to regulate AI used in the health care system.

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04/19/26

PHTI’s Report on Administrative AI

Peterson Health Technology Institute (PHTI) convened health care leaders to examine how AI is reshaping healthcare administrative processes.

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03/29/26

CMS Health Care Claims Attachment Transactions and Electronic Signature Standards Final Rule

CMS finalized a proposal to require HIPAA-covered entities to electronically transmit health care claims attachments by 2028.

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03/29/26

The White House’s National AI Policy Framework

The National Policy Framework for AI offers suggestions to Congress about how to support AI innovation with federal standards while respecting State rights.

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03/15/26

PHTI’s Report on Scaling Clinical AI Adoption

Peterson Health Technology Institute (PHTI) asked health care leaders to identify the standards, benchmarks, and policy changes needed to scale autonomous clinical AI tools.

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03/8/26

Request for Information for “CRUSHING” Fraud Initiative

CMS seeks input for expanding its detection and enforcement capabilities for fraud, waste, and abuse in federally-supported health care programs.

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03/1/26

Stanford Researchers Assess Payers’ Use of AI for Utilization Review

A new issue brief outlines recommendations for vetting and monitoring AI tools used for health insurance coverage decisions.

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02/8/26

Bessemer Venture Partners’ Health AI Report

Bessemer Venture Partners created a formula to show why some health AI businesses are worth their high valuations.

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02/1/26

PHTI Playbook on Performance-Based Contracting

To help health plans and employers purchase high-performing digital health tools, PHTI developed a framework that helps them draft vendor contracts that ties payment to verifiable outcomes.

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02/1/26

State of Clinical AI ARISE Report

A multidisciplinary group of experts at Stanford and Harvard reviewed the most influential clinical AI studies published in 2025 to differentiate between the truth and hype about how AI can improve patient care.