OPERAS decision support system versus manual job coding: a quantitative analysis on coding time and inter-coder reliability.

Journal: Occupational and environmental medicine
Published Date: Jul 9, 2025

Abstract

OBJECTIVES: The manual coding of job descriptions is time-consuming, expensive and requires expert knowledge. Decision support systems (DSS) provide a valuable alternative by offering automated suggestions that support decision-making, improving efficiency while allowing manual corrections to ensure reliability. However, this claim has not been proven with expert coders. This study aims to fill this omission by comparing manual with decision-supported coding, using the new DSS OPERAS.

Authors

  • Mathijs A Langezaal
    Population-Based Epidemiological Cohorts Unit UMS11, INSERM, Villejuif, France m.a.langezaal@uu.nl.
  • Egon L van den Broek
    Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands.
  • Grégoire Rey
    CépiDc-Inserm, Epidemiology Center on Medical Causes of Death, Kremlin-Bicêtre, France.
  • Nicole Le Moual
    INSERM, Équipe d'Épidémiologie Respiratoire Intégrative, CESP, Université Paris-Saclay, UVSQ, Villejuif, France.
  • Corinne Pilorget
    Santé publique France, Saint-Maurice, France.
  • Marcel Goldberg
    Population-Based Epidemiological Cohorts Unit UMS11, INSERM, Villejuif, France.
  • Roel Vermeulen
    Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, 3584 CG, the Netherlands; Department of Molecular Epidemiology, Julius Center, University Medical Center Utrecht, Utrecht University, Utrecht, 3584 CG, the Netherlands; MRC/PHE Center for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK.
  • Susan Peters
    Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.

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