探索利益相关者的观点:提高机器人对可持续医疗解决方案的接受度

Felix Höpfl , Thomas Peisl , Christian Greiner
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引用次数: 0

摘要

疫情凸显了世界各地的医疗系统面临压力的事实。人口结构的变化正在导致大多数国家护理人员的日益短缺,而人口结构的挑战在大多数社会才刚刚开始。虽然机器人在工业中被广泛使用,但医疗保健中的机器人支持仍然局限于手术室中非常专业的机器人。在医疗保健场景中,哪种类型的部署可能会成功,这不仅是一个技术或经济问题,也是一个技术接受度问题。这个问题的答案支持开发可持续医疗解决方案的创业机会。在本文中,我们从患者、患者家属和老年护理专业人员的角度分析了机器人在老年护理中的接受度。为了了解各种立场并确定现有接受模式的适用性,我们应用利益相关者映射,根据9个展示不同机器人和应用场景的视频,对14名具有不同知识背景和参与护理情况水平的人进行了定性访谈。研究结果证实,现有的技术接受模型需要通过机器人外观等因素进行扩展。我们发现,受访者的背景知识会影响有关安全问题的问题的结果。此外,我们发现对患者自决和独立性的贡献是一个重要因素,而现有的技术接受模型中没有包括这一因素。最后,发现不同利益相关者在接受服务机器人方面的自我感知和外部感知之间存在显著差异,可以通过利益相关者参与照顾特定患者利益的立场来解释。这些发现鼓励了进一步的研究,特别是有一个基本假设,即医疗保健中的技术接受不仅是患者问题,也是利益相关者问题。利益相关者映射是分析机器人接受度的相互依赖性的有效工具。因此,我们建议使用利益相关者映射等工具来进一步分析这些问题。
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Exploring stakeholder perspectives: Enhancing robot acceptance for sustainable healthcare solutions

The pandemic has highlighted the fact that healthcare systems around the world are under pressure. Demographic change is leading to an increasing shortage of care workers in most countries, and the demographic challenge is only just beginning in most societies. While robots are widely used in industry, robotic support in healthcare is still limited to very specialized robots in the operating theatre. The question of what type of deployment is likely to be successful in a healthcare scenario is not only a technological or economical question but also one of technology acceptance. The answer to this question supports entrepreneurial opportunities to develop sustainable healthcare solutions.

In this paper, we analyze the acceptance of robots in elderly care from the perspective of patients, patient families, and geriatric care professionals. To understand the various positions and to identify the suitability of existing acceptance models, we applied stakeholder mapping to conduct qualitative interviews with 14 people with different knowledge backgrounds and levels of involvement in care situations, based on 9 videos showing different robots and application scenarios.

The results confirmed that existing technology acceptance models need to be extended by factors such as robot appearance. We found that the background knowledge of the respondents influences the results of the questions about e.g. safety concerns. In addition, we found that the contribution to patients' self-determination and independence is an important factor that is not included in existing technology acceptance models. Finally, the discovery of a significant discrepancy between the self-perception and the external perception of the different stakeholders regarding the acceptance of a service robot can be explained by the stakeholder positions involved in caring for the benefit of a specific patient.

These findings encourage further research, especially with the underlying assumption that technology acceptance in healthcare is not just a patient issue, but a stakeholder issue. Stakeholder mapping is a valid tool to analyze the interdependencies for the acceptance of robots. Therefore, we suggest using a tool such as stakeholder mapping to further analyze these issues.

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