視線追跡技術により輸液ポンプの安全性向上に役立つ知見を取得(Eye-Tracking Technology Helps Researchers See IV Pump Safety Through Student Nurses’ Eyes)

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2026-06-29 マサチューセッツ大学アマースト校

マサチューセッツ大学アマースト校の研究チームは、アイトラッキング技術を用いて看護学生が点滴ポンプ(IVポンプ)を操作する際の視線行動を解析し、医療機器の安全性向上に役立つ知見を得た。研究では、学生が点滴速度や投与量を設定する場面で、どの画面や表示に注意を向け、どこで見落としや操作ミスが生じるかを可視化した。その結果、経験の浅い学生は重要な表示項目への注視が不足し、不要な情報に視線が分散する傾向が確認された。一方、熟練者は重要情報へ効率的に視線を集中させ、正確かつ迅速に操作していた。これらの違いから、視線データは操作エラーの要因分析や教育効果の評価に有効であり、看護教育や医療機器インターフェースの改善に活用できることが示された。研究は、アイトラッキングを客観的な評価手法として取り入れることで、医療従事者の訓練の質を高め、点滴投与時のヒューマンエラー低減と患者安全の向上につながる可能性を示している。

<関連情報>

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

視線追跡技術により輸液ポンプの安全性向上に役立つ知見を取得(Eye-Tracking Technology Helps Researchers See IV Pump Safety Through Student Nurses’ Eyes)

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.

医療・健康
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