The Silent Consultation — and Nobody's Story: Signal Loss and Displaced Clinical Authorship

This paper argues that the general practice consultation is an act of clinical authorship, not a data-capture event. The GP consultation carries diagnostic and therapeutic value largely non-verbal and non-explicit, and so largely invisible to AI tools optimised for measurable data. It builds on a long-established idea, that writing is thinking; displace the authorship and you displace the reasoning.NHS England promotes Ambient Voice Technology (AVT) as a solution to capacity constraints. This rests on two assumptions: that writing the record is clerical data capture, which is a category error,and that documentation is the binding constraint on general practice, which the evidence does not support. Documentation is a real burden, but clinicians spend more of their time searching the recordthan writing it, and the largest randomised trial found modest time savings at best. Displaced cognitive authorship, a concept developed by the author with clinical collaborators, is the paper's central, original thesis. It explains why signal loss (implicit clinical signals missing from the record) and data excess (unweighted verbatim text filling it) are two sides of the same mechanism. When documentation is offloaded to the AI, the link between reasoning and the record is severed, and the record risks becoming “data-rich, but nobody's story”. Independent peer-reviewed work now reaches similar conclusions. This is a professional critique informed by evidence, not an empirical study. It directly engages with the strongest arguments for ambient scribes, proposes one test for any documentation tool (who decides what matters?), closes with testable predictions that could confirm or refute its central claim, and argues for technology that supports clinical thought rather than replacing it.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23690380
Primary Topic
Electronic Health Records Systems
Type
preprint
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preprint

The Silent Consultation — and Nobody's Story: Signal Loss and Displaced Clinical Authorship

Alan Hassey
5 links
Zenodo (CERN European Organization for Nuclear Research)
Electronic Health Records Systems
preprint

The Silent Consultation — and Nobody's Story: Signal Loss and Displaced Clinical Authorship

Alan Hassey
preprint en

Abstract

This paper argues that the general practice consultation is an act of clinical authorship, not a data-capture event. The GP consultation carries diagnostic and therapeutic value largely non-verbal and non-explicit, and so largely invisible to AI tools optimised for measurable data. It builds on a long-established idea, that writing is thinking; displace the authorship and you displace the reasoning.NHS England promotes Ambient Voice Technology (AVT) as a solution to capacity constraints. This rests on two assumptions: that writing the record is clerical data capture, which is a category error,and that documentation is the binding constraint on general practice, which the evidence does not support. Documentation is a real burden, but clinicians spend more of their time searching the recordthan writing it, and the largest randomised trial found modest time savings at best. Displaced cognitive authorship, a concept developed by the author with clinical collaborators, is the paper's central, original thesis. It explains why signal loss (implicit clinical signals missing from the record) and data excess (unweighted verbatim text filling it) are two sides of the same mechanism. When documentation is offloaded to the AI, the link between reasoning and the record is severed, and the record risks becoming “data-rich, but nobody's story”. Independent peer-reviewed work now reaches similar conclusions. This is a professional critique informed by evidence, not an empirical study. It directly engages with the strongest arguments for ambient scribes, proposes one test for any documentation tool (who decides what matters?), closes with testable predictions that could confirm or refute its central claim, and argues for technology that supports clinical thought rather than replacing it.

Zenodo (CERN European Organization for Nuclear Research)
Electronic Health Records Systems
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