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Inferring EHR Utilization Workflows through Audit Logs.

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Summary
This summary is machine-generated.

Electronic health record (EHR) workflows differ across patient racial groups, impacting care in emergency departments. Understanding these EHR usage patterns can help improve clinical workflows and patient outcomes.

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Area of Science:

  • Health Informatics
  • Clinical Informatics
  • Network Science

Background:

  • Electronic health records (EHRs) are integral to modern healthcare, but their utilization workflows are complex and dynamic, especially in settings like emergency departments.
  • Understanding how clinicians interact with EHRs is crucial for optimizing clinical workflows and enhancing patient care.
  • Limited research exists on the practical application and variations of EHR utilization workflows in real-world clinical settings.

Purpose of the Study:

  • To develop and apply a network analysis framework to infer EHR utilization workflows from EHR audit logs.
  • To investigate differences in EHR workflows between patient subgroups based on race.
  • To identify core EHR workflows and their variations in the emergency department (ED) setting for trauma patients.

Main Methods:

  • Developed a novel network analysis framework to infer EHR workflows from EHR audit logs.
  • Applied differential network analysis to compare EHR workflows across patient subgroups stratified by race.
  • Utilized data from trauma patients admitted to the emergency department.

Main Results:

  • Identified five core EHR workflows in the ED: Narrator, Navigator, SmartTools, Chart Review, and ED workup.
  • Found significant differences in EHR workflows involving Narrator, SmartTools, and Best Practice Advisories (BPA) when comparing patient subgroups based on race.
  • Demonstrated the utility of network analysis for uncovering granular details of EHR utilization.

Conclusions:

  • EHR utilization workflows are not uniform across all patient populations and exhibit variations based on patient race.
  • These workflow disparities, particularly concerning Narrator, SmartTools, and BPA, may have implications for clinical practice and patient care in the ED.
  • The developed network analysis framework provides a valuable tool for understanding and potentially mitigating disparities in EHR-driven clinical workflows.