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How much can we trust electronic health record data?

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This summary is machine-generated.

Trust in electronic health record (EHR) data is crucial for research. Addressing limitations through transparency and targeted research can enhance EHR data

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Area of Science:

  • Health Services Research
  • Clinical Informatics
  • Data Science

Background:

  • Growing reliance on electronic health record (EHR) data for clinical and health services research.
  • Existing distrust and limitations in EHR data hinder its full research potential.

Purpose of the Study:

  • To identify reasons for distrust in EHR data.
  • To acknowledge and address limitations of EHR data in research.
  • To propose strategies for enhancing trust in EHR data for research applications.

Main Methods:

  • Literature review and synthesis of existing research on EHR data quality and trust.
  • Analysis of the strengths and limitations of EHR data compared to other research sources.
  • Discussion of current methods for mitigating EHR data limitations.

Main Results:

  • EHR data offers greater clinical detail than administrative claims.
  • Many EHR data limitations are addressable using data quality checks and common data frameworks.
  • Increased transparency and focused research priorities can improve EHR data utility.

Conclusions:

  • Despite limitations, EHR data is valuable for research due to its clinical richness.
  • Implementing enhanced transparency and strategic research can build greater trust in EHR data.
  • Continued development of methods to mitigate limitations will foster wider adoption of EHR data in research.