Unlocking the power of socially assistive robotic nurses in hospitals through innovative living lab methodology.

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Umut Arioz, Božidar Bratina, Izidor Mlakar, Nejc Plohl, Suzana Uran, Igor Robert Roj, Riko Šafarič, Valentino Šafran
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Abstract

Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response to workforce shortages and rising care demands due to an aging population. This project aims to optimize resources, reduce errors, and improve patient satisfaction through personalized care. Methods: The Living Lab approach was implemented to split the study into sprints. The first split involves working with project partners and stakeholders to define the problem, brainstorm functionalities, and identify limitations (24 participants). The second split focuses on further requirement gathering, exploring real-world use cases, and considering ethical and privacy concerns (51 participants). Results: The project used iterative development cycles (5-8 months) to continuously improve the solution. Surveys revealed high satisfaction rates, with average scores of 4.0 and 3.6 for Sprints 1 and 2, respectively. Similarly, a team morale survey indicated a positive trend, with average scores of 7.6 and 8.18 for Sprints 1 and 2, respectively. Conclusion: Pilot 5 offers a promising solution to the evolving needs of modern hospitals. This study explores the integration of a social robotic system into nursing care to enhance quality and emphasizes stakeholder engagement, participatory design, and user-centered approaches in AI healthcare solutions.

通过创新的生活实验室方法,释放医院社交辅助机器人护士的力量。
目标:试点 5 利用人工智能和机器人技术,开发一种协助医院工作人员的机器人护士,以应对劳动力短缺和人口老龄化导致的护理需求增长。该项目旨在优化资源、减少错误,并通过个性化护理提高患者满意度。方法:采用 "生活实验室 "方法将研究分成几个冲刺阶段。第一个冲刺阶段涉及与项目合作伙伴和利益相关者合作,以定义问题、集思广益实现功能并确定局限性(24 人参与)。第二个冲刺阶段的重点是进一步收集需求、探索现实世界中的使用案例以及考虑道德和隐私问题(51 名参与者)。结果:该项目采用迭代开发周期(5-8 个月)来不断改进解决方案。调查显示满意度很高,冲刺 1 和冲刺 2 的平均得分分别为 4.0 分和 3.6 分。同样,团队士气调查也显示出积极的趋势,冲刺 1 和冲刺 2 的平均得分分别为 7.6 和 8.18。结论:试点 5 为满足现代医院不断变化的需求提供了一个很有前景的解决方案。本研究探讨了将社交机器人系统融入护理工作以提高质量的问题,并强调了在人工智能医疗解决方案中利益相关者的参与、参与式设计和以用户为中心的方法。
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来源期刊
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
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