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Structured data quality reports to improve EHR data quality.

Jane Taggart1, Siaw-Teng Liaw2, Hairong Yu1

  • 1Centre for Primary Health Care& Equity, UNSW Australia, Sydney, Australia.

International Journal of Medical Informatics
|October 21, 2015
PubMed
Summary

Structured data quality reports and feedback sessions improved electronic health record data quality in general practices. However, improvements did not meet Royal Australian College of General Practice standards, indicating a need for further research.

Keywords:
Data qualityElectronic health recordsFeedbackQuality improvementQuality of careStructured reports

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Area of Science:

  • Health Informatics
  • General Practice Research
  • Data Quality Management

Background:

  • Routinely collected data in Electronic Health Records (EHRs) is crucial for clinical care and research.
  • Ensuring high data quality is essential for accurate decision-making and patient safety.
  • Previous efforts to improve data quality in primary care settings have shown variable success.

Purpose of the Study:

  • To evaluate the impact of Structured Data Quality Reports (SDQRs) and feedback sessions on the quality of routinely collected EHR data.
  • To assess whether these interventions improve data completeness, correctness, and consistency in general practices.
  • To determine if the improvements achieved meet established quality standards, such as those set by the Royal Australian College of General Practice (RACGP).

Main Methods:

  • A 12-month intervention study involving four general practices within the Fairfield neighborhood electronic Practice Based Research Network (ePBRN).
  • Data extraction from clinical information systems, summarized into SDQRs provided at baseline and 4, 8, and 12 months.
  • Feedback sessions with practice principals and managers focused on data recording practices, data quality improvement, and SDQR utility. Data quality metrics included completeness, correctness, consistency, and duplication.

Main Results:

  • Significant improvements (p<0.01) in the data quality of measured variables were observed over 12 months.
  • Completeness for birth date and gender remained high (100% and 99% respectively) and were maintained.
  • While data quality improved, particularly for allergies, it was insufficient to meet RACGP standards. No significant change in duplicate patient records was noted.

Conclusions:

  • SDQRs and feedback sessions effectively engage general practitioners and practice managers in improving patient information recording.
  • Despite demonstrated improvements, the achieved data quality did not meet RACGP targets.
  • Further randomized controlled trials are necessary to evaluate strategies for enhancing data quality and its impact on patient care and safety.