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[Electronic coding of death certificates].

Olaf Eckert1

  • 1Referat H101 Gesundheitsstatistiken, Statistisches Bundesamt, Graurheindorfer Straße 198, 53117, Bonn, Deutschland. olaf.eckert@destatis.de.

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|November 6, 2019
PubMed
Summary
This summary is machine-generated.

Electronic coding of German death certificates improves cause of death statistics. Despite advancements, enhancing data quality through collaboration among physicians, health authorities, and statistical offices remains crucial for accurate mortality data.

Keywords:
Cause of death statisticsElectronic codingElectronic death certificateIris/MUSEMultiple causes of death

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Area of Science:

  • Public Health
  • Medical Informatics
  • Biostatistics

Background:

  • Approximately 50% of German death certificates undergo electronic processing for underlying cause of death determination.
  • This process adheres to World Health Organization guidelines for mortality statistics.

Purpose of the Study:

  • To illustrate the process and significance of electronic coding in German cause of death statistics.
  • To highlight the role of the MUSE coding kernel within the Iris international coding system.

Main Methods:

  • Implementation of a new module assigning ICD-10 codes to medical terms on death certificates.
  • Consideration of German language syntax and automatic text correction within the coding system.
  • Manual coding of unrecognised text parts after automated processing.

Main Results:

  • The electronic coding system, MUSE, integrated with Iris, facilitates the assignment of ICD-10 codes.
  • The system accounts for German language specifics and includes text correction, with manual review for unrecognised terms.
  • Electronic coding offers insights into improving the quality of death certificate documentation.

Conclusions:

  • Improving data quality is the primary challenge in German cause-of-death statistics.
  • Collaborative efforts among physicians, local health authorities, and statistical offices are essential for enhancing data quality.
  • Future iterations of the coding system may provide feedback to authorities on documentation issues.