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A basic model for assessing primary health care electronic medical record data quality.

Amanda L Terry1, Moira Stewart2, Sonny Cejic2

  • 1Department of Family Medicine, Department of Epidemiology & Biostatistics, Schulich Interfaculty Program in Public Health, Schulich School of Medicine & Dentistry, The University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 3K7, Canada. aterry4@uwo.ca.

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|February 14, 2019
PubMed
Summary

Assessing electronic medical record (EMR) data quality is crucial for primary health care. This study proposes a basic model with four domains to evaluate EMR data quality, revealing variability across datasets and patient factors.

Keywords:
Computerized medical recordsData qualityElectronic medical recordsPrimary health care

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Area of Science:

  • Health Informatics
  • Primary Health Care Research
  • Data Quality Management

Background:

  • Increased use of electronic medical records (EMRs) in Canadian primary health care has expanded data availability.
  • Understanding EMR data quality is essential for its effective utilization.
  • A basic model for assessing primary health care EMR data quality is proposed.

Purpose of the Study:

  • To develop and test a model for assessing primary health care EMR data quality.
  • To identify data quality measures across four domains: comparability, completeness, correctness, and currency.
  • To evaluate the applicability and results of these measures in real-world EMR datasets.

Main Methods:

  • An iterative process was used to create data quality measures within four domains.
  • Measures were operationalized and tested using three distinct EMR-derived datasets.
  • Development involved a series of process steps to ensure robust measure creation.

Main Results:

  • Eleven final data quality measures were developed.
  • Not all measures were applicable to all datasets due to data collection methods.
  • Variability in measure results was observed across datasets, patient demographics, and specific health conditions.

Conclusions:

  • A basic model for assessing primary health care EMR data quality has been proposed.
  • Testing revealed limitations in measure applicability and highlighted data quality variability.
  • This work represents a step towards standardized EMR data quality measures, emphasizing project-specific assessments.