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Related Experiment Videos

Aligning AI Payment Policy With Desired Outcomes Rather Than Inputs May Require Customized Pathways.

Sita K Kottilil1, Amol S Navathe2

  • 1Sita K. Kottilil, University of Pennsylvania, Philadelphia, Pennsylvania.

Health Affairs (Project Hope)
|January 6, 2026
PubMed
Summary

Artificial intelligence (AI) can add healthcare value beyond human effort. Aligning AI reimbursement with patient outcomes, not just clinician time, is crucial for innovation and benefits.

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Area of Science:

  • Health economics
  • Medical artificial intelligence
  • Healthcare policy

Background:

  • Artificial intelligence (AI) offers value in healthcare beyond traditional clinician inputs.
  • Current Medicare reimbursement models, focused on human labor, may undervalue AI's contributions.
  • This creates a misalignment between AI's potential value and its financial recognition.

Purpose of the Study:

  • To examine the conflict between input-based pricing and outcome-based care in healthcare.
  • To compare and contrast Medicare reimbursement for AI with prescription drug pricing.
  • To propose a framework for aligning AI reimbursement with its actual value.

Main Methods:

  • Comparative analysis of AI and prescription drug reimbursement models.
  • Development of a classification system for AI technologies based on their impact on clinician time and cost.
  • Policy analysis of current Medicare reimbursement structures.

Main Results:

  • Medicare's input-based reimbursement may inaccurately value AI in clinical settings.
  • A proposed classification system can differentiate AI types by their resource implications.
  • Aligning reimbursement with outcomes, similar to some drug pricing strategies, is suggested.

Conclusions:

  • Revising reimbursement policies to focus on outcomes rather than inputs is essential for AI adoption.
  • A structured approach to AI reimbursement can foster innovation and benefit all stakeholders.
  • Policy makers should consider outcome-based models to fully realize AI's healthcare potential.