Lost in the Edit: Reclaiming the Clinical Narrative in the Age of Synthetic Records
Shaheen E Lakhan

TL;DR
The paper warns that AI-generated clinical records risk losing important human reasoning, and proposes a new approach to preserve meaningful narratives for patient safety and clarity.
Contribution
It introduces a taxonomy of narrative failures and advocates for clinicians to anchor clinical intent as the core of documentation.
Findings
AI-generated clinical notes may lack intent and coherence, risking diagnostic clarity.
Multiple stakeholders have conflicting needs that fragment clinical documentation.
Omni-channel clinical production is proposed to preserve narrative intent across formats.
Abstract
We are entering the era of the synthetic record, where ambient artificial intelligence (AI) and large language models have begun to automate the clinical encounter. While this technology promises to alleviate administrative burden, it brings a more profound risk: the erosion of explicit clinical reasoning and the human clinical narrative, with downstream consequences for patient safety, care transitions, reimbursement, auditing, and medicolegal accountability. This editorial examines the crisis of the clinical note through a cinematic lens, arguing that the modern record has evolved into a disjointed CGI blockbuster that prioritizes data-rich special effects over a coherent script. It identifies 10 distinct audiences, from patients and forensic auditors to data-mining algorithms, and demonstrates how attempts to satisfy these conflicting “studios” have fractured clinical reasoning. By…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Radiology practices and education · Clinical Reasoning and Diagnostic Skills
