Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia
Department of Medical Research, University Medical Center Maribor, Maribor, Slovenia.
BMJ Open. 2022 Apr 1;12(4):e054310. doi: 10.1136/bmjopen-2021-054310.
Population ageing, the rise of chronic diseases and the emergence of new viruses are some of the factors that contribute to an increasing share of gross domestic product dedicated to health spending. COVID-19 has shown that nursing staff represents the critical part of hospitalisation. Technological developments in robotics and artificial intelligence can significantly reduce costs and lead to improvements in many hospital processes. The proposed study aims to assess expectations, attitudes and ethical acceptability regarding the integration of socially assistive humanoid robots into hospitalised care workflow from patients' and healthcare professionals' perspectives and to compare them with the results of similar studies.
METHODS/DESIGN: The study is designed as a cross-sectional survey, which will include three previously validated questionnaires, the Technology-Specific Expectation Scale (TSES), the Ethical Acceptability Scale (EAS) and the Negative Attitudes towards Robots Scale (NARS). The employees of a regional clinical centre will be asked to participate via an electronic survey and respond to TSES and EAS questionaries. Patients will respond to TSES and NARS questionaries. The survey will be conducted online.
Ethical approval for the study was obtained by the Medical Ethics Commission of the University Medical Center Maribor. Results will be published in a relevant scientific journal and communicated to participants and relevant institutions through dissemination activities and the ecosystem of the Horizon 2020 funded project HosmartAI (grant no. 101016834).
06 May 2021.
December 2021.
人口老龄化、慢性病的增加和新病毒的出现是导致国内生产总值中用于卫生支出的份额不断增加的部分因素。COVID-19 表明护理人员是住院治疗的关键部分。机器人技术和人工智能方面的技术发展可以显著降低成本,并在许多医院流程中实现改进。本研究旨在从患者和医疗保健专业人员的角度评估将社交辅助人形机器人融入住院护理工作流程的期望、态度和道德可接受性,并将其与类似研究的结果进行比较。
方法/设计:该研究设计为横断面调查,将包括三个经过验证的问卷,即技术特定期望量表(TSES)、道德可接受性量表(EAS)和对机器人的消极态度量表(NARS)。区域临床中心的员工将通过电子调查被要求参与,并回答 TSES 和 EAS 问卷。患者将回答 TSES 和 NARS 问卷。调查将在线进行。
该研究的伦理批准已获得马里博尔大学医学中心医学伦理委员会的批准。研究结果将发表在相关科学期刊上,并通过传播活动和由欧盟 Horizon 2020 资助的 HosmartAI 项目(资助号 101016834)的生态系统传达给参与者和相关机构。
2021 年 5 月 6 日。
2021 年 12 月。