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Related Experiment Video

Updated: Nov 7, 2025

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.

Morteza Noshad^1,2, Christian C Rose^1,2,3, Robert Thombley⁴

¹Both authors contributed equally.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|May 3, 2021

Summary

This summary is machine-generated.

Electronic health record audit logs can measure care environment context, improving clinical workflow and patient care. This approach enhances understanding of provider busyness and experience for better treatment delivery, like stroke care.

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Last Updated: Nov 7, 2025

Computerized Adaptive Testing System of Functional Assessment of Stroke

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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

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Published on: January 18, 2018

Area of Science:

Health Informatics
Clinical Process Improvement
Healthcare Management

Background:

High-quality patient care relies on timely and precise management, influenced by clinical presentation and care environment context.
Factors affecting streamlined workflow, such as provider or department busyness and experience, are crucial for improving care but hard to measure with traditional methods.
Existing clinical data sources are insufficient for capturing the nuanced contextual factors impacting healthcare delivery.

Purpose of the Study:

To explore the potential of non-traditional data sources, specifically electronic health record (EHR) audit logs, for measuring contextual factors in clinical processes.
To determine if EHR audit logs can capture provider and departmental busyness and experience.
To assess the correlation between these measured contextual factors and key care processes.

Main Methods:

Utilized exploratory data analysis on EHR audit logs to passively track clinical team electronic behavior.
Defined multiple measures of contextual factors derived from EHR audit log data.
Correlated these measures with specific clinical care processes, using thrombolytic (tPA) treatment for ischemic stroke as a case study.

Main Results:

Demonstrated that EHR audit logs can effectively capture various measures of care environment context.
Showcased a correlation between these contextual factors and the efficiency/effectiveness of clinical processes.
Validated the approach using the example of thrombolytic (tPA) treatment for ischemic stroke.

Conclusions:

EHR audit logs offer a valuable, non-traditional data source for quantifying care environment context.
Measuring contextual factors through EHR data can lead to improved understanding and optimization of clinical workflows.
The developed measurement approaches are generalizable to various clinical scenarios beyond stroke treatment.