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Plateforme Contrôle Qualité Périnat IDF.

Lou Lely1, Lucas Anzelin1, Thomas Ioos1

  • 1Département Traitement de l'information, GIP SESAN, Paris, France.

Journal of Epidemiology and Population Health
|March 20, 2025
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Summary

This web tool enhances the quality of medical coding for perinatal data in Île-de-France (IDF) maternity wards. It provides key indicators for detailed activity monitoring and coding improvements for better patient care.

Keywords:
Contrôle qualitéPMSIPérinatalitéSystème d'information hospitalierTraitement de donnéescodage

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Area of Science:

  • Medical Informatics
  • Public Health
  • Healthcare Quality Improvement

Background:

  • The "Contrôle Qualité Périnat IDF" is a web-based tool designed for medical information departments (DIM) and clinical staff in 76 maternity units across Île-de-France (IDF).
  • It facilitates the evaluation of data coding quality prior to validation within the French national hospital discharge information system (PMSI) via OVALIDE.
  • The tool aims to improve the accuracy and reliability of perinatal data.

Purpose of the Study:

  • To introduce and evaluate a novel web-based tool for enhancing the quality of perinatal data coding in Île-de-France maternity wards.
  • To provide healthcare professionals with a comprehensive set of indicators for monitoring and analyzing their perinatal activities.
  • To facilitate the identification and correction of coding inconsistencies within the PMSI data.

Main Methods:

  • Secure web interface for DIM professionals to upload PMSI '.out' files.
  • Automated data processing to generate downloadable reports with over 150 perinatal indicators.
  • Inclusion of coding consistency checks, indicators for pregnancies (including induced abortions), deliveries, newborns, assisted reproductive technology, and obstetrical practices.
  • Comparative analysis with other maternity units in IDF and metropolitan France.

Main Results:

  • As of the report, 47 out of 76 (61.8%) IDF maternity units are utilizing the tool, including 18 assisted reproduction centers.
  • Since its launch in April 2021, 84 user accounts have been created, with 608 controls performed and an average of 11 participating maternity units monthly.
  • In 2023, the tool covered 61.4% of the 154,871 births in IDF, representing a significant portion of regional perinatal activity.

Conclusions:

  • The tool effectively aids in correcting and improving PMSI coding for births and newborns in IDF.
  • Key indicators provided by the tool enable maternity units to conduct detailed, real-time monitoring of their activities.
  • The tool's functionalities are adaptable for use in other regions and medical fields, highlighting its potential for broader application.