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Moving Towards an EHR Data Quality Framework: The MIRACUM Approach.

Lorenz A Kapsner1, Marvin O Kampf1, Susanne A Seuchter1

  • 1Center of Medical Information and Communication Technology, University Hospital Erlangen, Germany.

Studies in Health Technology and Informatics
|September 5, 2019
PubMed
Summary
This summary is machine-generated.

A new data quality (DQ) framework and tool were developed for electronic health record (EHR) data in the MIRACUM consortium. This system standardizes DQ assessment, identifies inconsistencies, and improves data for clinical research.

Keywords:
Data analysisclinical researchdata qualityelectronic health record

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Area of Science:

  • Health Informatics
  • Clinical Research Data Management

Background:

  • Electronic Health Record (EHR) data quality is crucial for secondary use in clinical research and advancing learning health systems.
  • Existing data quality evaluation methods do not fully meet the requirements of the MIRACUM consortium.
  • The i2b2 research data repository has been successfully integrated within MIRACUM.

Purpose of the Study:

  • To present a standardized and generic data quality (DQ) framework for the MIRACUM consortium.
  • To address the limitations of established DQ evaluation methods within the MIRACUM context.

Main Methods:

  • A data quality analysis plan was created to assess common DQ dimensions for key variables in the MIRACUM research data repository.
  • A data quality analysis (DQA) tool was developed using R scripts within a Docker image for easy distribution.
  • The DQA tool integrates with the i2b2 data repository, performs data analysis, and generates DQ reports.

Main Results:

  • The DQA tool brings analysis to the data, adhering to MIRACUM's data protection requirements.
  • Established DQ dimensions for data repositories are evaluated in a standardized and distributable manner.
  • Inconsistencies in earlier Extract, Transform, Load (ETL) jobs were identified and revised through this analysis.

Conclusions:

  • The developed framework is the first step towards unified, standardized, and harmonized EHR DQ assessment in MIRACUM.
  • The framework is portable, easily deployable across sites, and adaptable to other database schemes.
  • Systematic identification of DQ issues by individual hospitals can lead to site- or consortium-wide feedback loops to enhance data quality.