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August 25, 2025PLoS ONEOpen Access

Exploring the consistency, quality and challenges in manual and automated coding of free-text diagnoses from hospital outpatient letters

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Authors

WDWarren Del-PintoGDGeorge DemetriouMJMeghna Jani

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Overview

This analysis examines the quality of manual and automated coding of diagnoses, suggesting improvements in clinical data practices.

Key Points

  • Humans outperformed automated coding while analyzing diagnoses from outpatient letters, indicating a need for balanced methods.
  • The evaluation showed a notable performance improvement for both coding methods when single diagnoses were present.
  • This observational analysis assessed coding quality with a distance-based metric and qualitative metrics by expert clinicians.
  • Findings imply that while automated coding is efficient, manual methods currently ensure higher accuracy in clinical settings.

Cite This Study

Del-Pinto et al. (2025) studied this question.

synapsesocial.com/papers/68af5f0dad7bf08b1eae1b85https://doi.org/10.1371/journal.pone.0328108
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