Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model.

JMIR nursing Pub Date : 2024-11-27 DOI:10.2196/59442
Aimei Kang, XiuLi Wu
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Abstract

Background: Globally, the rates at which the aging population and the prevalence of chronic diseases are increasing are substantial. With declining birth rates and a growing percentage of older individuals, the demand for nursing staff is steadily rising. However, the shortage of nursing personnel has been a long-standing issue. In recent years, numerous researchers have advocated for the implementation of nursing robots as a substitute for traditional human labor.

Objective: This study analyzes hospital visitors' attitudes and priorities regarding the functional areas of artificial intelligence (AI) nursing robots based on the Kano model. Building on this analysis, recommendations are provided for the functional optimization of AI nursing robots, aiming to facilitate their adoption in the nursing field.

Methods: Using a random sampling method, 457 hospital visitors were surveyed between December 2023 and March 2024 to compare the differences in demand for AI nursing robot functionalities among the visitors.

Results: A comparative analysis of the Kano attribute quadrant diagrams showed that visitors seeking hospitalization prioritized functional aspects that enhance medical activities. In contrast, visitors attending outpatient examinations focused more on functional points that assist in medical treatment. Additionally, visitors whose purpose was companionship and care emphasized functional aspects that offer psychological and life support to patients.

Conclusions: AI nursing robots serve various functional areas and cater to diverse audience groups. In the future, it is essential to thoroughly consider users' functional needs and implement targeted functional developments to maximize the effectiveness of AI nursing robots.

评估访客对医院人工智能护理机器人的期望:使用卡诺模型的横断面研究
背景:在全球范围内,人口老龄化和慢性疾病的发病率正在大幅上升。随着出生率的下降和老年人比例的增加,对护理人员的需求也在稳步上升。然而,护理人员短缺问题由来已久。近年来,许多研究人员主张使用护理机器人来替代传统的人力劳动:本研究基于卡诺模型,分析了医院来访者对人工智能(AI)护理机器人功能领域的态度和优先级。在此分析基础上,为人工智能护理机器人的功能优化提供建议,旨在促进其在护理领域的应用:方法:采用随机抽样方法,在2023年12月至2024年3月期间对457名医院来访者进行了调查,以比较来访者对人工智能护理机器人功能需求的差异:对卡诺属性象限图的比较分析表明,住院就医的访客优先考虑能增强医疗活动的功能方面。相比之下,参加门诊检查的来访者更注重辅助医疗的功能点。此外,以陪伴和护理为目的的来访者强调为患者提供心理和生活支持的功能点:结论:人工智能护理机器人服务于不同的功能领域,满足不同受众群体的需求。结论:人工智能护理机器人服务于不同的功能领域,面向不同的受众群体,未来必须充分考虑用户的功能需求,有针对性地进行功能开发,以最大限度地发挥人工智能护理机器人的功效。
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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来源期刊
CiteScore
5.20
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审稿时长
16 weeks
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