2026-06-29 マサチューセッツ大学アマースト校
<関連情報>
- https://www.umass.edu/news/article/eye-tracking-technology-helps-researchers-see-iv-pump-safety-through-student-nurses
- https://www.sciencedirect.com/science/article/pii/S3050859226000238
4種類のスマートIVポンプにおける使いやすさ、作業負荷、およびエラー率:新人看護師を対象とした比較研究 Usability, workload, and error rates across four IV smart pumps: A comparative study with novice nurses
Seonhun Lee MS, Brenda A. Nyarko MSN, RN, Gina L. Georgadarellis MS, Frank C. Sup IV PhD, Professor & Co-Director, Karen K. Giuliano PhD, RN, MBA, FAAN, Professor & Co-Director
Advancing Medical-Surgical Nursing Available online: 20 May 2026
DOI:https://doi.org/10.1016/j.amsn.2026.100072

Abstract
Background
Intravenous (IV) smart pumps are widely used medical devices in acute care, yet persistent usability challenges continue to contribute to medication administration errors. Although these devices share standardized functional requirements, their interface designs vary considerably, influencing cognitive workload, error likelihood, and interaction efficiency.
Purpose
This study compared perceived cognitive workload and error patterns while programming four IV smart pumps to examine how interface design influences performance during a standardized IV fluid administration task.
Methods
A within‑subjects, repeated‑measures laboratory study was conducted with 31 nursing students. Participants programmed four IV smart pumps (Becton Dickinson [BD] Alaris, Baxter Sigma Spectrum, Intensive Care Unit [ICU] Medical Plum 360, and Ivenix Infusion System) while wearing eye‑tracking glasses. Programming errors were recorded, and perceived cognitive workload was assessed using the National Aeronautics and Space Administration -Task Load Index (NASA-TLX). Repeated‑measures ANOVA evaluated differences across devices.
Results
Pump type significantly affected overall workload (p < .001). The Ivenix infusion system produced the lowest perceived cognitive workload, shortest programming times, and no observed programming errors. In contrast, the other pumps were associated with higher perceived cognitive workload, more corrected and uncorrected errors, and greater variability in task duration. Error patterns suggested mismatches between interface structure and user expectations, particularly during channel selection and drug‑library navigation.
Conclusion
Although IV smart pumps perform the same clinical functions, they vary substantially in usability, programming accuracy and perceived cognitive workload.
Implications for practice
These findings underscore the importance of designing devices to be aligned with their intended use, environments in which they will be used, and clinical user needs.
