Exploring the Relationship between EHR Usability and Medication Dose Errors

Authors

  • Isaac D. Olorunisola Department of Health Informatics, Rutgers, The State University of New Jersey, United States
  • Dasantila Sherifi Department of Health Informatics, Rutgers, The State University of New Jersey, United States

DOI:

https://doi.org/10.54536/ajmsi.v5i1.5904

Keywords:

Alert Fatigue, Clinical Decision Support, Electronic Health Records, Medication Dose Errors, Patient Safety, System Responsiveness

Abstract

Medication dose errors (MDEs) continue to be a problem of significant patient safety concern even with the extensive adoption of Electronic Health Records (EHRs). The current literature tends to focus on the study of the underlying factors of EHR usability individually, with little knowledge of how the combination of EHR design and system characteristics affect medication dose error. This paper fills this gap by assessing the perceptions of clinicians on the connection between EHR interface design, system responsiveness, user training, alert fatigue, the efficiency of navigation, the integration of clinical decision support system (CDSS), and EHR customizability and perceived MDEs. A quantitative methodology was used in data gathering through questionnaire of 386 health care professionals and crunching the data on the basis of Pearson correlation coefficients. It was observed to have strong positive relations between perceived medication dose errors and system responsiveness, design, and EHR customizability with moderate relations with navigation efficiency and user training. There was a lesser, though significant relationship with alert fatigue. The results emphasize the significance of the optimization of the EHR performance, design, and customization of CDSSS to minimize the incidence of medication dose error and improve patient safety.

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Published

2026-06-09

How to Cite

Olorunisola, I. D. ., & Sherifi, D. . (2026). Exploring the Relationship between EHR Usability and Medication Dose Errors. American Journal of Medical Science and Innovation, 5(1), 134-145. https://doi.org/10.54536/ajmsi.v5i1.5904

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