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Designing a Coding Data Warehouse to Support and Enhance Medical Act Coding.

Joseph Noussa-Yao1, Didier Heudes1, Patrice Degoulet1

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Summary
This summary is machine-generated.

A new coding data warehouse, based on Entities-Attribute-Value (EAV) model, improves diagnostic coding accuracy. This system helps clinicians optimize medical coding by linking diagnostic codes to patient data, enhancing healthcare quality.

Keywords:
Clinical Data warehouseDiagnostic codingOptimizationdecision support systemsi2b2medical diagnostic computing

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Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Medical Coding Systems

Background:

  • Standards Data Warehouses (SDW) offer potential for improving healthcare quality and performance measurement.
  • Optimizing clinical coding using healthcare data presents ongoing challenges for hospital systems.
  • Existing clinical data warehouses (CDW) contain valuable information but require specialized structures for coding optimization.

Purpose of the Study:

  • To develop and evaluate a coding data warehouse using the Entities-Attribute-Value (EAV) model.
  • To establish rules for converting a conceptual coding model into an EAV logical model.
  • To assess the accuracy of the developed warehouse in associating diagnostic codes with patient clinical data.

Main Methods:

  • Imported data from a public hospital's clinical data warehouse (CDW).
  • Designed and implemented a coding data warehouse utilizing the Entities-Attribute-Value (EAV) data model.
  • Employed the integrating biology and the bedside (i2b2) platform for implementation.
  • Defined conversion rules from a conceptual coding model to an EAV logical model.
  • Evaluated the warehouse using mono- and multi-criteria data research methods.

Main Results:

  • The developed coding data warehouse demonstrated good accuracy in associating diagnostic codes with medical acts.
  • The system effectively linked diagnostic codes more closely to the patient's clinical landscape.
  • The precision of the EAV-based coding data warehouse model was calculated and validated.

Conclusions:

  • The EAV-based coding data warehouse provides accurate associations between diagnostic codes and patient clinical data.
  • This system can assist physicians, even those without deep coding knowledge, in optimizing diagnostic coding.
  • The implementation using i2b2 facilitates the creation of a functional and accurate coding data warehouse.