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Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study
Saif Khairat1, Jennifer Morelli1, Marcella H Boynton2
1School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
JMIR Research Protocols
|February 11, 2025
Summary
Medical intensive care unit (ICU) providers experience information overload from electronic health records (EHRs), impacting care. This study assesses EHR usability and its relationship with information overload to improve healthcare delivery and patient safety.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
- Healthcare Quality and Safety
Background:
- Electronic health records (EHRs) are linked to information overload, potentially causing missed critical information, medical errors, and care delays.
- Information overload is particularly challenging in medical intensive care units (ICUs) due to the high volume of patient data.
Purpose of the Study:
- To investigate the relationship between information overload and EHR usage among medical ICU providers.
- To examine two prominent EHR systems in the United States for reproducible and generalizable findings on EHR usability.
Main Methods:
- Utilized screen-mounted eye-tracking to collect physiological and objective data on provider decision-making.
- Administered the NASA Task Load Index and Computer System Usability Questionnaire to assess perceived EHR task load and usability.
- Measured primary outcomes including eye fixations, correct decisions, case completion time, and screens visited.
Main Results:
- The study involved 81 provider sessions with data collection completed in December 2023.
- Data analysis is currently ongoing to characterize information overload in EHRs.
Conclusions:
- The study aims to define information overload in EHRs for medical ICU providers through a multisite usability assessment.
- Findings may reveal mechanisms behind information overload, leading to improved EHR design and enhanced patient safety.
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