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Managing clinical data in an electronic environment.

J Moczygemba1, B Hewitt

  • 1Health Information Management Program, Southwest Texas State University, San Marcos, Texas, USA.

The Health Care Manager
|June 20, 2001
PubMed
Summary
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This study explores a data quality management model for electronic health records. It ensures the value and appropriateness of clinical data for improving patient care and organizational performance.

Area of Science:

  • Health Informatics
  • Data Management
  • Healthcare Administration

Background:

  • Clinical data is crucial for enhancing patient care and organizational performance.
  • Electronic capture of clinical data necessitates rigorous assessment for value and appropriateness.
  • Data quality is paramount for effective utilization of clinical information systems.

Purpose of the Study:

  • To examine a data quality management model.
  • To assess the model's application in initiating computerized patient record (CPR) projects.
  • To ensure the value and appropriateness of electronic clinical data.

Main Methods:

  • Review of a data quality management model.
  • Analysis of its application in computerized patient record (CPR) project initiation.

Related Experiment Videos

  • Evaluation of data assessment strategies for electronic health records.

    • Main Results:

    • The data quality management model provides a framework for assessing electronic clinical data.
    • The model aids in the successful initiation of computerized patient record (CPR) projects.
    • Effective data quality management is essential for leveraging clinical data.

    Conclusions:

    • Implementing a robust data quality management model is vital for healthcare organizations.
    • This model supports the appropriate use of clinical data in computerized patient record (CPR) systems.
    • Data quality assurance is fundamental to improving patient care and performance metrics.