Remote Healthcare(远程医疗)研究综述
Remote Healthcare 远程医疗 - Conclusion In COVID-19 cases, a strong correlation between NLR and CRP might suggest the use of NLR to differentiate between non-severe and severe cases, especially in a remote healthcare facility. [1] PURPOSE Teledentistry uses computer-based technology to render remote healthcare-related therapy and/or consultation. [2] It has the potential to enable remote healthcare effectively and equalize the reach of care. [3] The innovative latest technologies like Internet of Things (IoT), Cloud Computing, Fog Computing have made real-time and remote healthcare possible with huge success. [4] This book, Telehealth Innovations in Remote Healthcare Services Delivery, is the tenth in the Global Telehealth series. [5] The paper presents the IoT remote healthcare monitoring system that provides the patient’s conditions through Web browser. [6] Singh Index correlates weakly with bone mass density and might be used to detect low bone mass density in remote healthcare facilities. [7] For remote healthcare assistance, ECG signal along with patient’s meta-data is communicated over the public network. [8] Recognizing the importance of remote healthcare, the proposed automatic gait analysis system is integrated with a prototype web application. [9] Background COVID-19 has accelerated remote healthcare provision in primary care, with changes potentially permanent. [10] Application of IoT technology in diagnostic and healthcare opens a way for personalization in the medical care depending on individual needs, additionally giving option for well-organized way for remote healthcare and management. [11] Caregivers have also shown flexibility and adaptability in ceasing selected services, contingently continuing services, and utilizing telemedicine and other remote healthcare interventions to protect their loved ones. [12] The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. [13] Recognizing the importance of remote healthcare, this paper proposes a prototype of a web application allowing to upload a walking person’s video, possibly acquired using a smartphone camera, and execute a web service that classifies the person’s gait as normal or across different pathologies. [14] For providing effective remote healthcare services to patients, this paper introduces an optimal IoT and cloud based decision support system for Chronic Kidney Disease (CKD) diagnosis. [15] The paper contributes towards improving the security of medical images in remote healthcare. [16] As IoT can communicate to other Internet, This remote healthcare monitoring can now be applied over a wider geographical topology. [17] Main objective of our paper is to enterprise a remote healthcare system. [18] The findings informed recommendations for commissioners and strategic managers on how best to implement videoconferencing for remote healthcare provision in care homes for older adults. [19] In a variety of technological innovations, in response to progress, that goal can communicate customization and remote healthcare management. [20] 5G wireless network supports heterogenous applications such as Internet of Things (IoT), Private Wireless Networks, online gaming and remote healthcare, with well-defined Service Level Agreements (SLAs). [21] With the current situation of corona pandemic, the roots of all hospital managements have been shaken, which has resulted in a need for a remote healthcare system. [22] The rise in digital wearables for remote healthcare is evolving at an increasing pace towards patient-centred and personalised care with connected patients. [23] Furthermore, the pandemic is opening the doors for more remote healthcare and care coordination, with both services and care receivers being increasingly more receptive to virtual and digital solutions, so long as they are fit for purpose and do improve care. [24] Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. [25] This CRP detection method proves to be rapid and easy-operated, which has great potential in early inflammatory disease perception in the point-of-care tests and future's 5G-enabled remote healthcare management. [26] f/Pan® is still a reliable rapid test used for the first-line diagnosis in remote healthcare centers. [27] 0 along with ultra-reliable low latency services for remote healthcare and vehicular communications. [28] Autofocusing of pathological microscope with an intelligent field image collection mechanism is highly useful in the remote healthcare domain. [29] With the convergence of remote monitoring technologies and reliable method of remote healthcare delivery, an understanding of the role of both in the management of patients with HF is critical. [30] The increasing cost of healthcare services is accelerating the development of the telehealth system to fulfill the necessity of delivering an efficient and cost-effective remote healthcare services. [31] The COVID-19 pandemic has forced many countries to implement restrictive measures to prevent its wider spread, including, inter alia, the introduction of remote healthcare in the form of teleconsultations. [32] The COVID-19 pandemic has created opportunities for innovative remote healthcare. [33] However, there are many applications such as remote healthcare and medical cyber-physical systems, where low latency is needed. [34] (2) highlight the effectiveness of machine learning methods in terms of algorithms, medical input data, output results, and machine learning goals in remote healthcare telemedicine systems. [35] The COVID-19 pandemic has motivated greater utilization of telemedicine and other remote healthcare delivery tools. [36] In the field of Artificial Intelligence-driven healthcare systems, human motion detection is becoming increasingly popular as it can be applied to give remote healthcare for vulnerable people. [37] We also need to invent means of remote healthcare and delivery of medicine and vaccines. [38] A clear understanding of these and other barriers may inform future studies as healthcare systems and payors move toward improving access to burn care through remote healthcare delivery services. [39] We proposed a framework to integrate the capabilities of edge computing and blockchain technology to address some of the key requirements of smart remote healthcare systems, such as long operating times, low cost, resilience to network problems, security, and trust in highly dynamic network conditions. [40] , remote healthcare), these devices and applications may need to comply with the Health Insurance Portability and Accountability Act (HIPAA) of 1996. [41] NB-IoT is a low power wide area (LPWA) version of IoT which has the potential to cater to remote healthcare needs. [42] The foremost requirement for such remote healthcare practices is the communication of highly sensitive data over insecure networks, which demands very high protection of different types of health-related information such as Electronic Patient Record (EPR) and Related Medical images. [43] For that reason, we propose an efficient and secured authentication scheme for remote healthcare systems in cloud-IoT. [44] Telehealth and telemedicine systems aim to deliver remote healthcare services to mitigate the spread of COVID-9. [45] Considering the security needs of remote healthcare, this paper proposes a robust and lightweight, secure access scheme for cloud-based E-healthcare services. [46] PurposeOnline medical teams (MTs), involving collaboration between remote healthcare workers, can provide comprehensive and rapid healthcare to patients. [47] It is critical to explore patient factors that drive telemedicine use to recognize any disparities in healthcare access that may emerge with remote healthcare. [48] Social distancing and remote work are becoming more prevalent in the post-covid world At the same time, there is a huge demand for remote healthcare sessions as well Although a growing number of such sessions are now utilizing online platforms as a medium of communication, other critical parameters such as the affective state and other feedback opportunities are lost during the transmission of this digital information This paper presents a solution that leverages a brain-computer interface system for this affective feedback and a humanoid robot for teaching effectively during remote sessions The solution uses Kinect as a sensing mechanism for the trainer It utilizes state-of-the-art deep learning algorithms at the back-end to understand the emotional state of the trainee The training poses (from humanoid’s camera feed and kinect) are calculated using AlphaPose compared using inverse kinematics To ascertain the trainees’state (high valence and arousal vs low valence and arousal), a Capsule Network was used that gives an average accuracy of 90 4% for this classification with a low average inference time of 14 3ms on the publicly available DREAMER and AMIGOS datasets The system also allows real-time communication through the humanoid, making this experience even more distinct for the trainee IEEE. [49] Conclusions The Urostentz app proved to an effective medium of communication to provide guidance and personalized digital remote healthcare. [50]结论 在 COVID-19 病例中，NLR 和 CRP 之间的强相关性可能表明使用 NLR 来区分非严重病例和严重病例，尤其是在偏远的医疗机构中。 [1] 目的 远程牙科使用基于计算机的技术来提供远程医疗保健相关治疗和/或咨询。 [2] 它有可能有效地实现远程医疗保健并平衡护理范围。 [3] 物联网 (IoT)、云计算、雾计算等创新的最新技术使实时和远程医疗保健成为可能，并取得了巨大成功。 [4] 这本书，远程医疗服务交付中的远程医疗创新，是全球远程医疗系列的第十部。 [5] 本文介绍了通过 Web 浏览器提供患者状况的物联网远程医疗保健监控系统。 [6] Singh 指数与骨量密度的相关性较弱，可用于检测偏远医疗机构的低骨量密度。 [7] 对于远程医疗援助，ECG 信号与患者的元数据通过公共网络进行通信。 [8] 认识到远程医疗保健的重要性，所提出的自动步态分析系统与原型 Web 应用程序集成。 [9] 背景 COVID-19 加速了初级保健中的远程医疗保健提供，变化可能是永久性的。 [10] 物联网技术在诊断和医疗保健中的应用开辟了根据个人需求在医疗保健中实现个性化的方式，另外为远程医疗保健和管理提供了组织良好的方式选择。 [11] 护理人员在停止选定的服务、继续提供服务以及利用远程医疗和其他远程医疗干预措施来保护他们的亲人方面也表现出灵活性和适应性。 [12] 需要持续监测的患者数量迅速增加，这激发了研究人员研究移动健康 (m-Health) 系统领域，以实现智能和可持续的远程医疗保健应用。 [13] 认识到远程医疗保健的重要性，本文提出了一个 Web 应用程序的原型，该应用程序允许上传可能使用智能手机摄像头获取的步行者的视频，并执行将人的步态分类为正常步态或跨不同病态的 Web 服务。 [14] 为了向患者提供有效的远程医疗服务，本文介绍了一种用于慢性肾脏病 (CKD) 诊断的最佳物联网和基于云的决策支持系统。 [15] 该论文有助于提高远程医疗保健中医学图像的安全性。 [16] 由于物联网可以与其他互联网通信，这种远程医疗保健监控现在可以应用于更广泛的地理拓扑。 [17] 我们论文的主要目标是建立一个远程医疗系统。 [18] 这些发现为委员和战略管理人员提供了有关如何最好地实施视频会议以在老年人护理院提供远程医疗保健的建议。 [19] 在各种技术创新中，响应进步，该目标可以传达定制和远程医疗保健管理。 [20] 5G 无线网络支持异构应用，例如物联网 (IoT)、专用无线网络、在线游戏和远程医疗保健，并具有明确定义的服务水平协议 (SLA)。 [21] 在当前冠状病毒大流行的情况下，所有医院管理的根基都受到了动摇，这导致了对远程医疗保健系统的需求。 [22] 用于远程医疗保健的数字可穿戴设备的兴起正在以越来越快的速度向以患者为中心和个性化的患者护理方向发展。 [23] 此外，大流行为更远程的医疗保健和护理协调打开了大门，服务和护理接受者越来越容易接受虚拟和数字解决方案，只要它们适合目的并确实改善护理。 [24] 当前的远程医疗和远程医疗保健应用预见到医生和患者之间的不同交互依赖于商业和医疗可穿戴传感器和基于互联网的视频会议平台的使用。 [25] 这种 CRP 检测方法被证明是快速且易于操作的，在即时检测中的早期炎症性疾病感知和未来支持 5G 的远程医疗管理方面具有巨大潜力。 [26] f/Pan® 仍然是一种可靠的快速检测方法，用于远程医疗中心的一线诊断。 [27] 0 以及用于远程医疗保健和车辆通信的超可靠低延迟服务。 [28] 具有智能现场图像采集机制的病理显微镜自动对焦在远程医疗领域非常有用。 [29] 随着远程监控技术和可靠的远程医疗服务方法的融合，了解两者在 HF 患者管理中的作用至关重要。 [30] 医疗保健服务成本的增加正在加速远程医疗系统的发展，以满足提供高效且具有成本效益的远程医疗保健服务的必要性。 [31] COVID-19 大流行已迫使许多国家实施限制性措施以防止其更广泛传播，其中包括以远程会诊的形式引入远程医疗保健。 [32] COVID-19 大流行为创新的远程医疗保健创造了机会。 [33] 但是，有许多应用需要低延迟，例如远程医疗保健和医疗网络物理系统。 [34] (2) 突出机器学习方法在远程医疗远程医疗系统中的算法、医疗输入数据、输出结果和机器学习目标方面的有效性。 [35] COVID-19 大流行促使人们更多地利用远程医疗和其他远程医疗保健提供工具。 [36] 在人工智能驱动的医疗保健系统领域，人体运动检测正变得越来越流行，因为它可以应用于为弱势群体提供远程医疗保健。 [37] 我们还需要发明远程医疗保健以及药物和疫苗交付的手段。 [38] 随着医疗保健系统和支付者通过远程医疗保健服务改善获得烧伤护理的机会，对这些和其他障碍的清晰了解可能会为未来的研究提供信息。 [39] 我们提出了一个框架来整合边缘计算和区块链技术的能力，以解决智能远程医疗系统的一些关键要求，例如运行时间长、成本低、对网络问题的弹性、安全性和高度动态网络条件下的信任. [40] ，远程医疗保健），这些设备和应用程序可能需要遵守 1996 年的《健康保险流通与责任法案》（HIPAA）。 [41] NB-IoT 是 IoT 的低功耗广域 (LPWA) 版本，具有满足远程医疗保健需求的潜力。 [42] 这种远程医疗实践的首要要求是通过不安全的网络传输高度敏感的数据，这需要对不同类型的健康相关信息（如电子病历 (EPR) 和相关医学图像）进行高度保护。 [43] 出于这个原因，我们为云物联网中的远程医疗保健系统提出了一种有效且安全的身份验证方案。 [44] 远程医疗和远程医疗系统旨在提供远程医疗服务，以减轻 COVID-9 的传播。 [45] 考虑到远程医疗的安全需求，本文针对基于云的电子医疗服务提出了一种健壮、轻量、安全的访问方案。 [46] 目的在线医疗团队（MTs），涉及远程医疗工作者之间的协作，可以为患者提供全面、快速的医疗保健。 [47] 探索推动远程医疗使用的患者因素以识别远程医疗保健可能出现的医疗保健访问方面的任何差异至关重要。 [48] 社交距离和远程工作在后疫情时代变得越来越普遍同时，对远程医疗保健会议的需求也很大。尽管现在越来越多的此类会议使用在线平台作为交流媒介，但其他在此数字信息的传输过程中，诸如情感状态和其他反馈机会等关键参数会丢失 本文提出了一种解决方案，该解决方案利用脑机接口系统进行此情感反馈，并利用仿人机器人在远程会话期间进行有效教学 该解决方案使用Kinect 作为训练者的感知机制 它在后端利用最先进的深度学习算法来了解受训者的情绪状态 训练姿势（来自人形机器人的摄像头和 kinect）是使用 AlphaPose 计算的，比较使用逆运动学为了确定受训者的状态（高价和唤醒与低价和唤醒），Caps使用 ule 网络，在公开可用的 DREAMER 和 AMIGOS 数据集上，该分类的平均准确度为 90 4%，平均推理时间仅为 14 3ms 该系统还允许通过类人机器人进行实时通信，使这种体验更加与受训者 IEEE 不同。 [49] 结论 Urostentz 应用程序被证明是一种有效的沟通媒介，可提供指导和个性化的数字远程医疗保健。 [50]
Effective Remote Healthcare
For providing effective remote healthcare services to patients, this paper introduces an optimal IoT and cloud based decision support system for Chronic Kidney Disease (CKD) diagnosis. [1] The increasing cost of healthcare services is accelerating the development of the telehealth system to fulfill the necessity of delivering an efficient and cost-effective remote healthcare services. [2]为了向患者提供有效的远程医疗服务，本文介绍了一种用于慢性肾脏病 (CKD) 诊断的最佳物联网和基于云的决策支持系统。 [1] 医疗保健服务成本的增加正在加速远程医疗系统的发展，以满足提供高效且具有成本效益的远程医疗保健服务的必要性。 [2]
Provide Remote Healthcare
This paper will discuss a prototype information system being built to provide remote healthcare via informative assistance to anyone with diabetes. [1] In such cases, it is essential to provide remote healthcare services. [2]本文将讨论正在构建的原型信息系统，该系统通过向糖尿病患者提供信息帮助来提供远程医疗保健。 [1] 在这种情况下，提供远程医疗服务至关重要。 [2]
remote healthcare monitoring
The paper presents the IoT remote healthcare monitoring system that provides the patient’s conditions through Web browser. [1] As IoT can communicate to other Internet, This remote healthcare monitoring can now be applied over a wider geographical topology. [2] Implementing IoT and AI for remote healthcare monitoring (RHM) systems requires a deep understanding of different frameworks in smart cities. [3] These MCOs are being developed and implemented for remote healthcare monitoring purposes including elderly patients with chronic diseases, pregnant women, and patients with disabilities. [4] The recent developments in the wireless body area networks (WBAN) play a vital role in the modern remote healthcare monitoring system. [5] In the health domain, and especially for remote healthcare monitoring systems, the management of data in real time becomes a requirement. [6] Considering this research direction, this paper investigates the potentiality of cloud-based cellular networks to support remote healthcare monitoring applications implemented in accordance with the IoT paradigm, combined with future cellular systems. [7] The quality of the health care service can improve in remote healthcare monitoring system by introducing a new approach to identify the true medical condition and differentiate true and false alarms. [8] Moreover, the telecare services automate the remote healthcare monitoring process to ease professional workloads. [9] In recent years, technological advances induced by the Internet of Things paradigm have led to the development and diffusion of remote healthcare monitoring systems, known as e-health or telemedicine. [10] Wearable strain sensors are essential for the realization of applications in the broad fields of remote healthcare monitoring, soft robots, immersive gaming, among many others. [11] Likewise, the goals of this investigation are to experimentally investigate and show the huge of utilizing triaging in various healthcare environment, to highlight the fundamental issues in the triage framework and to open research issues that guide the researches to improve the efficiency of remote healthcare monitoring frameworks by enhancing triaging processes. [12] They are designed to continuously transmit sensed physiological data and act as key infrastructures for remote healthcare monitoring and treatment. [13] Finally, through a prototype implementation and proof of concept we validate the ability of BodyCog-BNC in enabling NRT remote healthcare monitoring. [14] Wearable strain sensors are essential for the realization of applications in the broad fields of remote healthcare monitoring, soft robots, and immersive gaming, among many others. [15] This FO-TENG represents a smart multifaceted sensing platform that has a unique capacity in diverse applications including hazard preventive wearables, and remote healthcare monitoring. [16]本文介绍了通过 Web 浏览器提供患者状况的物联网远程医疗保健监控系统。 [1] 由于物联网可以与其他互联网通信，这种远程医疗保健监控现在可以应用于更广泛的地理拓扑。 [2] nan [3] nan [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11] nan [12] nan [13] nan [14] nan [15] nan [16]
remote healthcare service
This book, Telehealth Innovations in Remote Healthcare Services Delivery, is the tenth in the Global Telehealth series. [1] For providing effective remote healthcare services to patients, this paper introduces an optimal IoT and cloud based decision support system for Chronic Kidney Disease (CKD) diagnosis. [2] The increasing cost of healthcare services is accelerating the development of the telehealth system to fulfill the necessity of delivering an efficient and cost-effective remote healthcare services. [3] Telehealth and telemedicine systems aim to deliver remote healthcare services to mitigate the spread of COVID-9. [4] In recent times where people around the globe are suffering from the Covid-19 pandemic, providing remote healthcare services maintaining necessary social distancing through e-Healthcare has become an urgent priority. [5] In such cases, it is essential to provide remote healthcare services. [6] We next offer solutions to COVID-19 brought by blockchain-empowered edge intelligence from 1) monitoring and tracing COVID-19 pandemic origin, 2) traceable supply chain of injectable medicines and COVID-19 vaccines, and 3) telemedicine and remote healthcare services. [7] Modern day medical systems are closely integrated and interconnected with other systems, such as those comprising Internet-of-Medical Things (IoMT) devices that facilitate remote healthcare services, say during pandemics (e. [8] In particular, there still exists a significant inequality of access to digital services, the digital competency training system remains unregulated, the digital job creation scheme in the real economy is almost undeveloped, there are significant gaps in the digital public security services, the problem of the national digital educational platforms has not been resolved yet, the system of provision of remote healthcare services has not been formed, and the procedures for estimating tourist migration and for remote financial services have not been settled. [9] Among various technologies, communication technologies have enabled to deliver personalized and remote healthcare services. [10]这本书，远程医疗服务交付中的远程医疗创新，是全球远程医疗系列的第十部。 [1] 为了向患者提供有效的远程医疗服务，本文介绍了一种用于慢性肾脏病 (CKD) 诊断的最佳物联网和基于云的决策支持系统。 [2] 医疗保健服务成本的增加正在加速远程医疗系统的发展，以满足提供高效且具有成本效益的远程医疗保健服务的必要性。 [3] 远程医疗和远程医疗系统旨在提供远程医疗服务，以减轻 COVID-9 的传播。 [4] nan [5] 在这种情况下，提供远程医疗服务至关重要。 [6] nan [7] nan [8] nan [9] nan [10]
remote healthcare system
Main objective of our paper is to enterprise a remote healthcare system. [1] With the current situation of corona pandemic, the roots of all hospital managements have been shaken, which has resulted in a need for a remote healthcare system. [2] We proposed a framework to integrate the capabilities of edge computing and blockchain technology to address some of the key requirements of smart remote healthcare systems, such as long operating times, low cost, resilience to network problems, security, and trust in highly dynamic network conditions. [3] For that reason, we propose an efficient and secured authentication scheme for remote healthcare systems in cloud-IoT. [4] In this paper, we present the realization of a remote healthcare system based on the IoT technology. [5] A smart pillow adapted for the Remote Healthcare System is presented in this paper, whose core is a Bluetooth (BT) host equipped with temperature and pressure sensors. [6] The application of a smartphone app with an IoT-connected healthcare platform for the flexible LED patch opens tremendous opportunities for the development of a remote healthcare system with cost-effectiveness in the future. [7] The development of various smart devices is interconnected via the internet, which helps the patient to communicate with a medical expert using IoMT based remote healthcare system for various life threatening diseases, e. [8] The advent of Information and Communication Technologies (ICT) and remote healthcare systems play a significant role to reach the unreached communities and are addressing rurality and poverty issues. [9] The present technique may be integrated as a part of a remote healthcare system using wearable sensors. [10]我们论文的主要目标是建立一个远程医疗系统。 [1] 在当前冠状病毒大流行的情况下，所有医院管理的根基都受到了动摇，这导致了对远程医疗保健系统的需求。 [2] 我们提出了一个框架来整合边缘计算和区块链技术的能力，以解决智能远程医疗系统的一些关键要求，例如运行时间长、成本低、对网络问题的弹性、安全性和高度动态网络条件下的信任. [3] 出于这个原因，我们为云物联网中的远程医疗保健系统提出了一种有效且安全的身份验证方案。 [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10]
remote healthcare application
The rapid increase in the number of patients requiring constant monitoring inspires researchers to investigate the area of mobile health (m-Health) systems for intelligent and sustainable remote healthcare applications. [1] Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. [2] In WBSNs, the body sensors continuously send their data to the coordinator node for remote healthcare applications. [3] Analysis indicates that the SERQPP path is a reliable and quickest option for data transmission in remote healthcare applications. [4] The experimental results demonstrate that the w-RCA outperforms the BSA and Baseline by optimizing QoS in remote healthcare application i. [5] Wireless sensor networks foray into a promising field of remote healthcare applications nowadays, where the patients can be monitored remotely through wireless body area network (WBAN). [6]需要持续监测的患者数量迅速增加，这激发了研究人员研究移动健康 (m-Health) 系统领域，以实现智能和可持续的远程医疗保健应用。 [1] 当前的远程医疗和远程医疗保健应用预见到医生和患者之间的不同交互依赖于商业和医疗可穿戴传感器和基于互联网的视频会议平台的使用。 [2] nan [3] nan [4] nan [5] nan [6]
remote healthcare facility
Conclusion In COVID-19 cases, a strong correlation between NLR and CRP might suggest the use of NLR to differentiate between non-severe and severe cases, especially in a remote healthcare facility. [1] Singh Index correlates weakly with bone mass density and might be used to detect low bone mass density in remote healthcare facilities. [2] The proposed system finds enormous potential in giving remote healthcare facilities, especially to unaccompanied older adults. [3] Remote healthcare facilities, single laboratories and pharmacists and potentially any trained individual will be able to produce medication and biomaterials. [4] The outer regional, remote and very remote healthcare facilities not accredited by ACEM have a variety of staffing models, and there is a paucity of reliable data to indicate the nature of the workforce at these sites. [5]结论 在 COVID-19 病例中，NLR 和 CRP 之间的强相关性可能表明使用 NLR 来区分非严重病例和严重病例，尤其是在偏远的医疗机构中。 [1] Singh 指数与骨量密度的相关性较弱，可用于检测偏远医疗机构的低骨量密度。 [2] nan [3] nan [4] nan [5]
remote healthcare delivery
With the convergence of remote monitoring technologies and reliable method of remote healthcare delivery, an understanding of the role of both in the management of patients with HF is critical. [1] The COVID-19 pandemic has motivated greater utilization of telemedicine and other remote healthcare delivery tools. [2] A clear understanding of these and other barriers may inform future studies as healthcare systems and payors move toward improving access to burn care through remote healthcare delivery services. [3]随着远程监控技术和可靠的远程医疗服务方法的融合，了解两者在 HF 患者管理中的作用至关重要。 [1] COVID-19 大流行促使人们更多地利用远程医疗和其他远程医疗保健提供工具。