BACKGROUND Maintaining adequate situation awareness is crucial for patient safety. Previous studies found that the use of avatar-based monitoring (Visual Patient Technology) improved the perception of vital signs compared to conventional monitoring showing numerical and waveform data; and was further associated with a reduction of perceived workload. In this study, we aimed to evaluate the effectiveness of Visual Patient Technology on perceptive performance and perceived workload when monitoring multiple patients at the same time, such as in central station monitors in intensive care units or operating rooms. METHODS A prospective, within-subject, computer-based laboratory study was performed in two tertiary care hospitals in Switzerland in 2018. Thirty-eight physician and nurse anesthetists volunteered for the study. The participants were shown four different central monitor scenarios in sequence, where each scenario displayed two critical and four healthy patients simultaneously for 10 or 30 s. After each scenario, participants had to recall the vital signs of the critical patients. Perceived workload was assessed with the National Aeronautics and Space Administration Task-Load-Index (NASA TLX) questionnaire. RESULTS In the 10-s scenarios, the median number of remembered vital signs significantly improved from 7 to 11 using avatar-based versus conventional monitoring with a mean of differences of 4 vital signs, 95% confidence interval (CI) 2 to 6, p < 0.001. At the same time, the median NASA TLX scores were significantly lower for avatar-based monitoring (67 vs. 77) with a mean of differences of 6 points, 95% CI 0.5 to 11, p = 0.034. In the 30-s scenarios, vital sign perception and workload did not differ significantly. CONCLUSIONS In central monitor multiple patient monitoring, we found a significant improvement of vital sign perception and reduction of perceived workload using Visual Patient Technology, compared to conventional monitoring. The technology enabled improved assessment of patient status and may, thereby, help to increase situation awareness and enhance patient safety.

中文翻译：

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用于监测多个患者的中央监视器中基于阿凡达的生命体征显示与传统的生命体征显示：一项基于计算机的多中心实验室研究。


背景技术保持足够的态势感知对于患者安全至关重要。先前的研究发现，与显示数字和波形数据的传统监测相比，使用基于化身的监测（视觉患者技术）改善了对生命体征的感知；并进一步与感知工作量的减少相关。在这项研究中，我们的目的是评估视觉患者技术在同时监测多个患者时（例如重症监护室或手术室的中心站监测仪）对感知性能和感知工作量的有效性。方法 2018 年，在瑞士的两家三级护理医院进行了一项前瞻性、受试者内、基于计算机的实验室研究。38 名医生和护士麻醉师自愿参加了这项研究。参与者依次看到四个不同的中央监视器场景，每个场景同时显示两名危重患者和四名健康患者，持续 10 或 30 秒。在每个场景结束后，参与者必须回忆起危重患者的生命体征。使用美国国家航空航天局任务负荷指数 (NASA TLX) 调查问卷评估感知工作量。结果 在 10 秒场景中，使用基于化身的监测与传统监测相比，记住的生命体征中位数从 7 个显着改善至 11 个，平均差异为 4 个生命体征，95% 置信区间 (CI) 2 至 6，p < 0.001。与此同时，基于化身的监测的 NASA TLX 评分中位数显着较低（67 比 77），平均差异为 6 分，95% CI 0.5 至 11，p = 0.034。在 30 秒的场景中，生命体征感知和工作量没有显着差异。 结论 在中央监护仪多患者监护中，我们发现与传统监护相比，使用视觉患者技术可显着改善生命体征感知并减少感知工作量。该技术可以改进对患者状态的评估，从而有助于提高态势感知并增强患者安全。