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Preliminary Validation of a Rule-Based System for Mortality Coding Using ICD-11.

Mihai Horia Popescu1, Can Celik2, Vincenzo Della Mea1

  • 1University of Udine, Udine, Italy.

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A new automated system for selecting the underlying cause of death (UC) has been developed. This system is designed for the upcoming ICD-11 coding standard, ensuring accurate mortality statistics.

Keywords:
Cause of DeathICD-11medical classifications

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Area of Science:

  • Public Health
  • Medical Informatics
  • Biostatistics

Background:

  • Accurate identification of the underlying cause of death (UC) is vital for global mortality statistics.
  • Current death certificate coding relies on ICD-10 and semi-automated rule-based systems.
  • The transition to ICD-11 necessitates new automated systems for UC selection.

Purpose of the Study:

  • To describe the architecture of a novel automated UC selection system.
  • To develop classification-independent rules for UC selection.
  • To preliminarily validate the system on ICD-10 and ICD-11 coded death certificates.

Main Methods:

  • Development of a novel system architecture for automated UC selection.
  • Implementation of classification-independent rules.
  • Preliminary validation using two datasets of death certificates coded with ICD-10 and ICD-11.

Main Results:

  • A novel system architecture for automated UC selection has been designed.
  • The system utilizes classification-independent rules.
  • Preliminary validation results on ICD-10 and ICD-11 datasets are presented.

Conclusions:

  • The developed system offers a potential solution for automated UC selection under ICD-11.
  • Classification-independent rules are key to adapting to new coding standards.
  • Further validation is needed to confirm the system's efficacy in real-world scenarios.