Using AI Disagreement to Expose Gaps in Coverage Rules

Isaac S. Kohane

doi:10.1001/jama.2026.11938

July 6, 2026JAMA

Using AI Disagreement to Expose Gaps in Coverage Rules

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Key Points

This viewpoint explores the role of artificial intelligence in improving decision-making processes for coverage and payment in health care.
Discussion of AI applications in health care decision-making
Analysis of historical coverage decisions made by humans
Exploration of gaps identified through AI disagreement
Highlights the potential for AI to reveal discrepancies in coverage rules
Suggests that AI can improve fairness and transparency in payment decisions
Indicates AI as a tool to support human representatives rather than replace them

Implication

Viewpoint examines how AI can enhance coverage and payment decisions in health care, indicating potential improvements.

Abstract

This Viewpoint discusses the use of artificial intelligence (AI) in health care to support coverage and payment decisions that historically have been made by human representatives.

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Cite This Study

Isaac S. Kohane (2026) studied this question.

synapsesocial.com/papers/6a4de804d2ea289ef6282f03 https://doi.org/10.1001/jama.2026.11938

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Using AI Disagreement to Expose Gaps in Coverage Rules

Key Points

Implication

Abstract

Discussion

Cite This Study

Using AI Disagreement to Expose Gaps in Coverage Rules

Key Points

Implication

Abstract

Discussion

Cite This Study

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