Healthcare services in rural areas face numerous challenges due to the high cost of treatment and a lack of appropriate services. The application of Internet of Things (IoT) technology has shown potential in mitigating these issues. This article discusses the potential of Internet of Things (IoT) and fog computing to reduce healthcare costs and improve patient outcomes. The use of these technologies in cardiovascular health informatics is explored, along with the economic thought process of hospital decision-makers and end-of-life practices in intensive care units. Remote monitoring using IoT devices is highlighted as a promising way to detect health issues before they become serious, leading to earlier interventions and improved health outcomes. The use of fog computing in healthcare is also discussed, with a focus on its ability to provide real-time data processing, analysis, and decision-making capabilities. The article presents a novel architecture for Device-as-a-Service, utilizing both fog and cloud computing to improve the efficiency and accuracy of ECG device processing, and concludes that it has the potential to reduce costs by up to 80% in the Iranian market. The adoption of fog computing in healthcare is acknowledged to present significant challenges, such as security and privacy concerns,

翻译：农村地区医疗服务面临治疗成本高昂且专业服务匮乏的双重挑战。物联网技术的应用已展现出缓解这些问题的潜力。本文探讨了物联网与雾计算降低医疗成本、改善患者预后的可能性，分析了这些技术在心血管健康信息学中的应用场景，并涉及医院决策者的经济考量与重症监护室临终实践。基于物联网设备的远程监测被强调为一种有前景的手段，可在健康问题恶化前实现早期识别与干预，从而改善临床结局。文章重点讨论了雾计算在医疗中的应用价值，特别是其实时数据处理、分析与决策支持能力。研究提出了一种创新的“设备即服务”架构，通过融合雾计算与云计算提升心电图设备处理效率与准确性，并得出结论：该方案在伊朗市场可降低80%的医疗成本。同时指出，雾计算在医疗领域的推广仍面临安全隐私等重大挑战。