7 .使用MEESTAR对机械通气患者社会技术支持系统的伦理、法律和社会影响进行早期评估

Angelika Schley, K. Balzer
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引用次数: 0

摘要

在重症监护病房(ICU),机械通气患者正在脱离呼吸器代表一个高度脆弱的人群。为了支持他们的早期重新定位和参与,ACTIVATE项目旨在开发和试点一个社会技术系统,促进这些患者与ICU医疗团队之间的沟通。在将此类数字卫生技术引入卫生保健实践之前,需要从伦理、法律和社会影响(ELSI)方面对其进行评估。在ACTIVATE项目中,我们选择了社会技术安排伦理评估模型(MEESTAR)作为评估相关ELSI的指导理论框架。基于我们的中间发现和经验,本文的目的是反思MEESTAR对危重患者急性护理支持系统ELSI评估的适用性。按照苏格拉底的方法,各种数据来源和研究方法被迭代地应用于开发中的ACTIVATE系统的ELSI评估。确定了许多积极的影响和潜在的挑战,这些影响和挑战因患者和卫生专业人员,特别是护士的观点而异。根据初步的研究结果和经验,我们预期苏格拉底方法的实施与MEESTAR相结合,将确保ACTIVATE系统的相关ELSI能够及早被发现,并在开发和调整这一支持系统时加以考虑。
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7 Using MEESTAR for early evaluation of ethical, legal and social implications of a socio-technical support system for mechanically ventilated patients
In intensive care units (ICU), mechanically ventilated patients undergoing weaning from the respirator represent a highly vulnerable population. To support their early re-orientation and participation, the ACTIVATE project aims to develop and pilot a socio-technical system that facilitates the communication between these patients and the ICU health care team. Such digital health technologies (DHT) need to be assessed in terms of ethical, legal and social implications (ELSI) before they can be introduced in health care practice. In the ACTIVATE project we chose the Model for Ethical Evaluation of Socio-Technical Arrangements (MEESTAR) as guiding theoretical framework to assess relevant ELSI. Based on our intermediate findings and experiences, the objective of this article is to reflect on the applicability of MEESTAR to the assessment of ELSI of support systems targeting the acute care for critically ill patients. Following the Socratic approach, various data sources and research methods are iteratively applied for the ELSI assessment of the ACTIVATE system under development. Numerous positive implications and potential challenges, varying with the perspectives of patients and health professionals, especially nurses, were identified. Based on the preliminary findings and experiences, we expect that the implementation of the Socratic approach in combination with MEESTAR will ensure that relevant ELSI of the ACTIVATE system will be early detected and taken into account in the development and adaptation of this support system.
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