With the technology development in Internet of Things (IoT) area, it is good to try to use IoT and cloud computing technologies to improve the efficiency of medical equipment management. This article described using CT as sample to do the data capture and data analysis with the IoT technology. The positive result got shows the benefit of the exploring.
Cloud Computing ; Internet ; Surgical Equipment

In clinical medicine, patient drainage monitoring and early warning have received extensive attention from the clinical medical community since they reflect the real-time status of patients. Firstly, this study points out the shortcomings of current medical drainage technology combined with actual clinical applications and proposes a detailed analysis of the current medical drainage monitoring technology and medical drainage equipment. Secondly, this study focuses on cloud medical, intelligent medical and other digital intelligent medical development. Combined with advanced artificial intelligence technology and cloud data processing technology, this study is proposed to realize the clinical promotion, and popularization of medical drainage technology and promote the medical industry's attention to the realization of comprehensive and intelligent drainage monitoring.
Artificial Intelligence ; Cloud Computing ; Drainage ; Humans ; Technology

Through analyzing the existing problems in the current mode, the vital signs monitoring information system based on cloud platform is designed and developed. The system's aim is to assist nurse carry out vital signs nursing work effectively and accurately. The system collects, uploads and analyzes patient's vital signs data by PDA which connecting medical inspection equipments. Clinical application proved that the system can effectively improve the quality and efficiency of medical care and may reduce medical expenses. It is alse an important practice result to build a medical cloud platform.
Cloud Computing ; Humans ; Monitoring, Physiologic ; instrumentation ; Vital Signs

According to the characteristics of short time and large amount of samples for out of hospital emergency nucleic acid detection, this study introduces an out of hospital emergency nucleic acid detection cloud platform system, which realizes the functions of rapid identification of the detected person and one-to-one correspondence with the samples, and real-time upload of the detection results to Zhejiang Government service network for quick viewing and statistics, so as to complete the task of national nucleic acid screening efficiently and accurately that we must provide information support.
COVID-19 ; Cloud Computing ; Humans ; Nucleic Acids ; SARS-CoV-2

Nowadays, the massive medical data have already influenced the information construction in medical institutes, so it is not enough to solely rely on traditional local storage system to solve the problems like the read/write speed, visualization, and economy brought about by the massive data. Furthermore, various medical cloud services have been developed at home and abroad that patients' medical data can be shared through all medical institutes on the cloud, which makes a higher demand on the transmission speed of the medical data. This article analyzes from multiple aspects like high availability and costs by performing a medical image transmission speed test on the three mainstream storage technologies to provide an optional storage system for future medical image big data in the access process. The experimental result shows that it can be found that in the process of accessing medical image big data, the access speed and performance of object storage system is better than those of the existing local storage systems. However, with comprehensive consideration, it is recommended that the distributed file storage system like HDFS be the first choice for the storage system of the medical images.
Cloud Computing ; Computer Communication Networks ; Humans ; Information Storage and Retrieval ; Technology

In order to improve the efficiency of medical instrumentation management in hospital, reduce the management cost and save the human cost, this study analyzes the problems in the traditional hospital medical instrumentation management system, and develops a new system based on cloud computing. Through the characters of the SaaS Service Platform, the system improves the flow efficiency of the medical instrumentation in hospital, saves deployment and operating system costs, and improves the people's work efficiency.
Cloud Computing ; Durable Medical Equipment ; Materials Management, Hospital ; Software

OBJECTIVE: To analyze the acupoint selection rules of post-stroke cognitive impairment (PSCI) treated with acupuncture by ancient and modern medical record cloud platform (V1.5). METHODS: The published randomized controlled trial (RCT) literature of PSCI treated with acupuncture was retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library and Web of Science, and the data was extracted to establish prescription database. The ancient and modern medical record cloud platform (V1.5) was used to analyze the data. RESULTS: A total of 185 articles was included, involving 91 acupoints, the total using frequency was 1174 times. The top 5 acupoints in frequency of PSCI treated with acupuncture were Baihui (GV 20, 151 times), Shenting (GV 24, 97 times), Sishencong (EX-HN 1, 83 times), Neiguan (PC 6, 69 times) and Sanyinjiao (SP 6, 64 times); the most involved meridian was the governor vessel, and the generally used acupoints were mainly distributed in the head, face and neck. The top 5 acupoint combinations in frequency were Baihui (GV 20)-Shenting (GV 24, 89 times), Baihui (GV 20)-Sishencong (EX-HN 1, 79 times), Baihui (GV 20)-Neiguan (PC 6, 59 times), Baihui (GV 20)-Sanyinjiao (SP 6, 56 times) and Baihui (GV 20)-Zusanli (ST 36, 51 times). The acupoint combination with the strongest association was Shenting (GV 24)→Baihui (GV 20). There were 6 acupoint cluster groups according to the cluster analysis, and the main core prescription was Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6). CONCLUSION Acupoints on the governor vessel, and distributed in head, face and neck are the main acupoints for PSCI treated with acupuncture, Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6) can be used as the main acupoints, but it is still necessary to combine with syndrome differentiation.
Acupuncture Points ; Acupuncture Therapy ; Cloud Computing ; Cognitive Dysfunction ; Humans ; Medical Records

Synergistic integration of the Internet of Things (IoT), cloud computing, and big data technologies in healthcare have led to the notion of “smart health.” Smart health is an emerging concept that refers to the provision of healthcare services for prevention, diagnosis, treatment, and follow-up management at any time or any place by connecting information technologies and healthcare. As a significant breakthrough in smart healthcare development, IoT-enabled smart devices allow medical centers to carry out preventive care, diagnosis, and treatment more competently. This review focuses on recently developed patient health monitoring platforms based on IoT-enabled smart devices that can collect real-time patient data and transfer information for assessment by healthcare providers, including doctors, hospitals, and clinics, or for self-management. We aimed to summarize the available information about recently approved devices and state-of-the-art developments through a comprehensive, systematic literature review. In this review, we also discuss possible future directions for the integration of cloud computing and blockchain, which may offer unprecedented breakthroughs in on-demand medical services. The combination of IoT with real-time, remote patient monitoring empowers patients to assert more control over their care, thereby allowing them to actively monitor their particular health conditions.
Cloud Computing ; Delivery of Health Care ; Diagnosis ; Follow-Up Studies ; Health Personnel ; Humans ; Internet* ; Monitoring, Physiologic ; Self Care

OBJECTIVES: Long-term follow-up care after total joint arthroplasty is essential to evaluate hip and knee arthroplasty outcomes, to provide information to physicians and improve arthroplasty performance, and to improve patients' health condition. In this paper, we aim to improve the communication between arthroplasty patients and physicians and to reduce the cost of follow-up controls based on mobile application technologies and cloud computing. METHODS: We propose a mobile-based healthcare system that provides cost-effective follow-up controls for primary arthroplasty patients through questions about symptoms in the replaced joint, questionnaires (WOMAC and SF-36v2) and the radiological examination of knee or hip joint. We also perform a cost analysis for a set of 423 patients that were treated in the University Clinic for Orthopedics in Essen-Werden. RESULTS: The estimation of healthcare costs shows significant cost savings (a reduction of 63.67% for readmission rate 5%) in both the University Clinic for Orthopedics in Essen-Werden and the state of North Rhine-Westphalia when the mobile-based healthcare system is applied. CONCLUSIONS: We propose a mHealth system to reduce the cost of follow-up assessments of arthroplasty patients through evaluation of diagnosis, self-monitoring, and regular review of their health status.
Arthroplasty* ; Arthroplasty, Replacement ; Arthroplasty, Replacement, Knee ; Cloud Computing ; Cost Savings ; Cost-Benefit Analysis ; Costs and Cost Analysis ; Database Management Systems ; Delivery of Health Care* ; Diagnosis ; Follow-Up Studies* ; Health Care Costs ; Hip ; Hip Joint ; Humans ; Joints* ; Knee ; Mobile Applications ; Orthopedics ; Telemedicine