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Near Real Time EHR Data Utilization in a Clinical Study.

Melody L Penning1, Collette Blach2, Anita Walden1

  • 1University of Arkansas for Medical Sciences, Little Rock, AR, USA.

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Summary
This summary is machine-generated.

This study addresses challenges in using Electronic Health Record (EHR) data for ongoing clinical research. It offers insights into processing EHR data for improved data quality and consistency in prospective studies.

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Area of Science:

  • Health Informatics
  • Clinical Research Methodology
  • Data Management

Background:

  • Electronic Health Record (EHR) data is widely used in retrospective studies.
  • Its application in longitudinal prospective studies is less common due to data processing complexities.
  • Challenges include assessing data quality and ensuring consistency across multiple sites.

Purpose of the Study:

  • To describe the process of acquiring and processing EHR data in real-time for a clinical study.
  • To identify and share lessons learned from this ongoing data management approach.
  • To highlight the feasibility and benefits of using EHR data prospectively.

Main Methods:

  • A case study approach was employed during an active clinical study.
  • Focus on the continuous acquisition and processing of EHR data.
  • Methods for assessing data quality and ensuring semantic and format consistency were developed and applied.

Main Results:

  • Detailed the practical steps and challenges encountered in ongoing EHR data acquisition.
  • Identified key factors for successful data quality assessment and standardization.
  • Demonstrated a workflow for managing heterogeneous EHR data in a prospective setting.

Conclusions:

  • Ongoing processing of EHR data is feasible for longitudinal prospective studies.
  • Proactive data quality assessment and standardization are crucial for multi-site studies.
  • This approach can enhance the utility of EHR data in advancing clinical research.