The Doctor Will See You If the Computer Says So

When artificial intelligence becomes the usual first clinician, patients need to know who exercised judgment, what triggers a second look, and how to get one. Starting from a routine skin check staffed by a nurse practitioner rather than a dermatologist, this essay argues that comfort with a new service can develop before reliable evidence about its performance is available. It discusses the Waymo analogy, the question whether autonomous AI could outperform AI-aided physicians, Medicare's ACCESS model ($180 initial annual amount for the behavioral health track, illustrated as about $1.73 per patient per week), the training pipeline for physicians, and the division of authority among state licensure, FDA device regulation, and Medicare payment. The essay concludes that scheduling, payment, staffing, and training decisions will shape AI in medicine as much as diagnostic accuracy.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24066429
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
preprint
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preprint

The Doctor Will See You If the Computer Says So

Stanley Clark Newhall
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
preprint

The Doctor Will See You If the Computer Says So

Stanley Clark Newhall
preprint en

Abstract

When artificial intelligence becomes the usual first clinician, patients need to know who exercised judgment, what triggers a second look, and how to get one. Starting from a routine skin check staffed by a nurse practitioner rather than a dermatologist, this essay argues that comfort with a new service can develop before reliable evidence about its performance is available. It discusses the Waymo analogy, the question whether autonomous AI could outperform AI-aided physicians, Medicare's ACCESS model ($180 initial annual amount for the behavioral health track, illustrated as about $1.73 per patient per week), the training pipeline for physicians, and the division of authority among state licensure, FDA device regulation, and Medicare payment. The essay concludes that scheduling, payment, staffing, and training decisions will shape AI in medicine as much as diagnostic accuracy.

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
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