基于人工智能的手卫生监测系统在新冠肺炎大流行期间的服务满意度——以某农村医疗中心为例

Joe Lintz DHA
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引用次数: 0

摘要

目的本研究的目的是调查提供者对基于人工智能(AI)的手卫生监测系统的态度,并检查提供者幸福感与使用该系统的满意度之间的关系。方法于2022年9月至10月向德克萨斯州北部农村医疗中心的48名医疗服务提供者(即医生、注册护士和其他提供者)邮寄一份自填问卷。除了描述性统计外,还进行了Spearman相关检验,以辨别提供者对基于人工智能的卫生监测系统的使用满意度与他们的幸福感之间的关系。采用Kendall's tau相关系数检验来评估亚组人口统计学与调查问题之间的相关性。结果有75%的回复率(n = 36),提供者报告了对监测系统使用的足够满意度,并且人工智能直接影响了提供者的幸福感。经验丰富且年龄小于40岁的供应商对人工智能技术的满意度总体上要高得多,并且认为他们花在人工智能相关任务上的时间比他们的同行供应商有趣。结论基于人工智能的卫生监测系统满意度越高,服务提供者幸福感越高。提供者寻求成功实现一个满足他们期望的基于人工智能的工具,但是这样的实现需要明显的整合水平,以确保它适合现有的工作流程并被用户接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Provider Satisfaction With Artificial Intelligence–Based Hand Hygiene Monitoring System During the COVID-19 Pandemic: Study of a Rural Medical Center

Objective

The objectives of this study were to investigate providers’ attitudes toward an artificial intelligence (AI)–based hand hygiene monitoring system and to examine the relationship between provider well-being and satisfaction with the usage of that system.

Methods

A self-administered questionnaire was mailed to 48 health care providers (ie, physicians, registered nurses, and other providers) at a rural medical center in north Texas between September and October 2022. In addition to descriptive statistics, Spearman's correlation test was conducted to discern the relationship between provider satisfaction with the usage of the AI-based hygiene monitoring system and their well-being. A Kendall's tau correlation coefficient test was utilized to assess the correlation between subgroup demographics and survey questions.

Results

With a 75% response rate (n = 36), the providers reported sufficient satisfaction with monitoring system usage and that AI directly affects provider well-being. Providers with more years of experience and younger than 40 years of age reported significantly higher satisfaction with AI technology in general and considered the amount of time that they spent on AI-related tasks as interesting compared with their counterpart providers.

Conclusion

The findings suggest that higher satisfaction with the AI-based hygiene monitoring system was related to greater provider well-being. Providers sought successful implementation of an AI-based tool that met their expectations, but such implementation required marked levels of consolidation to ensure that it fits within the existing workflows and was accepted by users.

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