| Literature DB >> 35783847 |
Lin Tong1, Yu Long1, Shiqiang Xiong1, Jin Li1, Wenchao Huang1, Hanxiong Liu1, Lin Cai1.
Abstract
Postoperative follow-up is crucial for the clinical management of patients carrying cardiovascular implantable electronic devices (CIED). However, in a plethora of underdeveloped areas of China, due to limited medical resources and associated economic costs, geographical restrictions, the outbreak of the COVID-19 pandemic, and various other reasons, the medical system is unable to meet the ever-increasing demand for long-term clinical follow-up and telemedicine services. Based on these challenges, postoperative remote follow-up of CIED based on the 5G-cloud technology support platform (5G-CTP) may have the potential to optimize the allocation of medical resources and provide patients with high-quality CIED follow-up services locally. These unique characteristics of CIED follow-up utilizing 5G-CTP are qualified to protect the safety of the patients in terms of both clinical safety and cyber security. Furthermore, during the COVID-19 pandemic, remote follow-up of CIED significantly reduces the risk of viral exposure to patients and medical staff while having the potential to improve the current situation of CIED postoperative follow-up.Entities:
Keywords: 5G communication; COVID-19; cardiovascular implantable electronic devices; follow-up; in-office evaluation; remote programming; telemedicine
Year: 2022 PMID: 35783847 PMCID: PMC9247241 DOI: 10.3389/fcvm.2022.894345
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
Figure 1Schematic representation of real-time remote programming for cardiovascular implantable electronic devices (CIED) follow-up through the 5G cloud technology support platform (5G-CTP). The patient's side is equipped with a CIED programmer, a 5G remote support terminal, and a physician; the remote's side is equipped with a tablet installed with a cloud follow-up APP, as well as a follow-up physician (clinical device specialist). The physician initials the cloud follow-up by externally connecting the 5G remote support terminal to the programmer, and putting the wand to the patient's device. When confirming the communication is stable, the physician gets in contact with the follow-up physician and gives a briefing. Follow-up physician logs into the cloud follow-up APP to establish a remote connection with the 5G remote support terminal on the patient's side. Then he has complete control of the programmer, and is able to interrogate, test, and reprogram the device remotely as needed. The whole remote service system is deployed on the cloud server with multilayer protection, including firewalls, customized antivirus, and vulnerability scanning, along with intrusion detection.
Figure 2Schematic diagram of regional collaborative cloud follow-up system. Core hospitals (having follow-up clinics or device specialists) establish a regional collaborative cloud follow-up, one-to-one or one-to-many, system with the network hospitals (lack of follow-up clinics or device specialists). A regional collaborative cloud follow-up system covers the whole region and provides follow-up management for the local CIED patients.
The distance, time, transportation mode and non-clinical expenses of patients to and from core hospitals in areas with underdeveloped medical resources in Sichuan.
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| Ganzi Tibetan Autonomous Prefecture | About 600 | Plane | 2–4 | 2,000–4,000 |
| Car + train | 16–20 | 300–500 | ||
| Self-driving | 7–10 | 300–500 | ||
| Aba Tibetan Autonomous Prefecture | About 600 | Plane | 2–3 | 1,100–1,500 |
| Cars + trains | 16–20 | 300–500 | ||
| Self-driving | about 10 | about 500 | ||
| Liangshan Yi Autonomous Prefecture | About 900 | Plane | 2–4 | 700–900 |
| Train | 22–25 | 500 | ||
| Self-driving | 13–15 | 500–800 | ||
| Panzhihua City | About 1300 | Plane | 2–3 | About 1,500 |
| Train | 25–27 | About 500 | ||
| Self-driving | 18–20 | 1,000–1,200 | ||
| Guangyuan City | About 600 | Plane | — | — |
| Train | about 9 | About 200 | ||
| Self-driving | 8–10 | 600–800 | ||
| Bazhong City | About 700 | Plane | 2–3 | About 600 |
| Train | About 9 | About 300 | ||
| Self-driving | 8–10 | 600–800 | ||
| Dazhou City | About 800 | Plane | 2–3 | 600–900 |
| Train | about 8 | 150–200 | ||
| Self-driving | 9–11 | 700–900 |