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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Sep 6, 2024
Date Accepted: Dec 18, 2024

The final, peer-reviewed published version of this preprint can be found here:

Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study

Khairat S, Morelli J, Boynton M, Bice T, Gold JA, Carson SS

Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study

JMIR Res Protoc 2025;14:e66127

DOI: 10.2196/66127

PMID: 39932774

PMCID: 11862759

Investigation of Information Overload in Electronic Health Records: A Usability Study Protocol

  • Saif Khairat; 
  • Jennifer Morelli; 
  • Marcella Boynton; 
  • Thomas Bice; 
  • Jeffrey A Gold; 
  • Shannon S Carson

ABSTRACT

Background:

Electronic health records (EHRs) have been associated with information overload, causing providers to miss critical information, make errors, and delay care. Information overload can be especially prevalent in medical intensive care units (ICUs) where patients are often critically ill and their charts contain large amounts of data points such as vitals, test and lab results, medications, and notes.

Objective:

We propose to study the relationship between information overload and EHR use among medical ICU providers in four major US medical centers. In this study, we will examine two prominent EHR systems in the US to generate reproducible and generalizable findings.

Methods:

Our study will collect physiologic and objective data through the use of eye-tracking technology. We aim to characterize information overload in the EHR by examining ICU providers’ decision-making and EHR usability. We will also survey providers on their institution’s EHR to better understand how they rate the system’s task load and usability.

Results:

This EHR usability study was funded in 2021. The study was initiated in 2022 with a completion date of 2025. Data collection of this study was completed in December 2023 and data analysis is ongoing with a total of 81 provider sessions recorded.

Conclusions:

Our study aims to characterize information overload in the EHR among medical ICU providers. By conducting a multi-site, cross-sectional usability assessment of information overload in two leading EHRs, we hope to reveal mechanisms that explain information overload. The insights gained from this study may lead to potential improvements in EHR usability and interface design which could improve healthcare delivery and patient safety.


 Citation

Please cite as:

Khairat S, Morelli J, Boynton M, Bice T, Gold JA, Carson SS

Investigation of Information Overload in Electronic Health Records: Protocol for Usability Study

JMIR Res Protoc 2025;14:e66127

DOI: 10.2196/66127

PMID: 39932774

PMCID: 11862759

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