Health institutions are adopting new technologies for their processes through automation by means of the concept of "Internet of Things" (IoT). Hence, offering innovative tools, applications and technology for the collection of key data and information, which is then integrated and consolidated, covering the different systems and their collaborators. The necessity of receiving quality medical services is essential in the public Policy of any country. The increasing demand for having an adequate number of medical specialists, pharmacies and medications stock, dental and mental health coverage and other, together with the minimization of the waiting list and patient care time have been a crucial concern. Under this context, it is valuable to redesign the processes planning and its coordination through the use of Information & Communications Technology (ICT) and IoT that unifies the systems. Based on previous research, the general purpose is to generate a system model to examine healthcare quality of service and corroborate its effectiveness in a real environment. The aim of this paper focus on the development of a decision support model to define key areas where the inclusion of IoT would sustain the efficiency in health care service. The research methodology is based on case study, integrating planning processes, data analysis, scoring method that interacts with multicriteria approach. A pilot case study is pursued in health institutions in Chile, determining critical factors and the current automation level system appraisal to generate actions of improvement in processes that show poor service quality. The results give rise to the development of an investment plan that can be converted into action plans for a health institution.

中文翻译：

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影响卫生机构中物联网运行的自动化因素：决策支持方法

卫生机构通过“物联网”（IoT）概念通过自动化将新技术应用于其流程。因此，提供了用于收集关键数据和信息的创新工具，应用程序和技术，然后将其集成和合并，涵盖了不同的系统及其协作者。在任何国家的公共政策中，必须获得优质的医疗服务至关重要。对拥有足够数量的医疗专家，药房和药品库存，牙科和精神健康保险等的需求不断增长，同时等待名单和患者护理时间的减少也成为了至关重要的问题。在这种情况下，通过使用信息和技术重新设计流程计划及其协调是很有价值的。统一系统的通信技术（ICT）和IoT。基于先前的研究，一般目的是生成一个系统模型，以检查医疗保健服务的质量并确认其在实际环境中的有效性。本文的目的集中在决策支持模型的开发上，以定义包括物联网在内的关键领域，以维持医疗服务的效率。研究方法基于案例研究，整合了计划流程，数据分析，与多准则方法相互作用的评分方法。在智利的卫生机构中进行了一项试点案例研究，确定关键因素和当前的自动化级别系统评估，以产生改善服务质量的过程，从而改善服务质量。