2018 3rd International Conference on Information Technology and Industrial Automation (ICITIA 2018) ISBN: 978-1-60595-607-7
Study of Regional Medical Collaboration Based
on Cloud Computing
Zhenli Cao, Guohua Lei, Gaofang Cao* and Peiguang Yan
ABSTRACT
In order to solve information resources sharing and real-time monitoring of the patient, a new design of network system based on cloud computing has been accomplished aimed to mine the hospital health information. The paper introduces the overall architecture of Regional Medical Collaboration, which can promote standardized construction of the regional medical information system. Regional Medical Collaboration is better for information interconnection and intercommunication than an ordinary hospital. The system integrates the Internet of things, mobile Internet, cloud computing, big data and other technologies to achieve intelligent, visual and continuous collection of health information. By mining the big data through the cloud platform, the patient can achieve earlier intervention and treatment, improving the success rate of diagnosis.1
KEYWORDS
Cloud Computing; The Internet Of Things; Regional Medical; Medical Collaboration; Data Mining
INTRODUCTION
With the aging of population, the change of disease spectrum and other factors, health has attracted more and more attention in today's society. On the one hand, patients waste time and money due to complicated procedures such as queuing for
1
Zhenli Cao, Guohua Lei, Gaofang Cao*, School of Public Health and Management, Binzhou Medical University, Yantai, China
payment in hospital. On the other hand, every medical unit has its own information construction. The data of the same patient is scattered in various systems. The resources in different hospital cannot be shared, which lead to a large number of medical data remaining idle and has not been excavated. It is difficult for doctors to analyses the case in an all-round way. Therefore, the level of medical health service is limited. In addition, the traditional medical model cannot monitor patients' physiological conditions in real time. Of course, medical experts cannot diagnose problems in time, which often delays the best time for patients. To solve the problem mentioned above, a regional medical collaboration based on Cloud Computing was designed and applied.
A resident health information system based on the Internet of Things is discussed in[1].The system can provide comprehensive services for community residents. In particular, by analyzing existing issues, it is highlighted that the new data integration and application technology is necessary，such as Internet of Things， mobile Internet，cloud computing and big data. An elderly healthy wearable hand ring system based on the Internet of Things to collect and monitor personal health data in real time is discussed in[2]. The software system can collect sensor real -time monitoring data, establish complete personal health information database including body temperature, blood pressure, blood glucose, electrocardiogram, sleep, movement. The monitoring devices with data telecommunication function and the community monitoring management server with data processing and health estimation are discussed in[3]. To relieve the prevalence rate of chronic disease and the aging population, the technique of front-ends and monitoring measurement were used in the design of the monitoring terminals which were applied in the outdoor and indoor monitoring conditions．In view of the traditional medical monitoring system’s problems, such as excessive lead wire, limited user activity, insufficient of early warning and medical guidance，a human body’s cloud health monitoring and early warning system is discussed in [4].It is aimed at providing the technical support for the body disease early warning of handicapped persons，and also creating conditions for the individuals, families, community monitoring and remote medical treatment．An advanced ubiquitous healthcare monitoring system with the aid of wireless sensor network based on the Wi-Fi/3G/LTE relay sensor nodes is discussed in[5]. In this work, wearable healthcare devices are used to measure the human body vital signs, device built-in wireless communication module via a public wireless communication network to transmit real-time medical monitoring and analysis system.
resources in the medical industry，especially the shortage of grass-root high-quality medical resources，the paper proposed architecture based on the big data platform. The second people's hospital of Dongying integrated the present information resources of the subordinate hospitals in the county, urban area and community. With the support of the government, a regional medical collaboration was developed based on cloud computing. The system can promote standardized construction of the regional medical information system. Besides, medical information resources of county-level hospitals established doctor workstations, services focus on the patients’ requirements. By this way, patients are able to communicate effectively with doctors, and they can participate in the treatment process actively.
THE STRUCTURE OF REGIONAL MEDICAL COLLABORATION BASED ON CLOUD COMPUTING
The Regional Medical Collaboration puts forward a comprehensive architecture, which integrated three kinds of cloud services such as infrastructure as a service, software as a service, and platform as a service. It is a multi-source information system with distributed sharing of cloud computing, real-time uploading of heterogeneous resources. Through the deep integration of the latest technique, for example, internet of things, mobile internet, cloud computing, big data and other technologies, a comprehensive perception medical care and health management model was established, which can provide high-quality, professional and convenient multi-dimensional intelligent health management service. The architecture of the regional medical collaboration based on cloud computing is shown as Figure 1.
PC SERVER
INTERNET SERVER
Provincial hospital
country hospital
Community medical institution
the Medicinal Image collaboration system
the Two-way referral service system
the Telemedicine Consultation System
the Video Conference System
the teleconsultation system
the Distant Education System
the integrated management
……
……
INTERNET INTERNET INTERNET
PAAS SAAS
IAAS HOSPITAL
HADOOP distributed file
system
DATABASE
[image:3.612.120.494.450.653.2]MAPREDUCE
3G/ 4G 3G/ 4G
3G/ 4G
INTERNET … …
…
…
WI-FI BlueTooth
RFID blood-pressure transducer
heartbeat sensor
pulse sensor
patient
nurse
medicine desktop PC
iPad smart mobilephone
data warehouse
big data center
security and privacy protection
component and interaction interface
real-time monitor
hospital information management
intelligent analytics
palmar hospital
physician-patient communication
data acquisition data transmission data Integration service application
INTERNET INTERNET
WI-FI WI-FI
Figure 2. Architecture of medical health internet of things.
The medical information in each hospital is transmitted to the cloud data center through the exclusive network or public network, and stored in the central database in a unified form. In every hospital, all kinds of information is collected by medical health internet of things such as HIS, LIS, PACS and so on. The service model of medical health internet of things proposed in this paper consists of four processing steps, namely, data acquisition, data transmission, data Integration, service application. As shown in Figure 2.
computing. Through intelligent analysis of patient data, the medical big data center feeds back the relevant diagnostic information to the client in time. There are several important features in this system, such as concurrent accesses, real-time processing, mobility support, and data persistency.
DESIGN AND APPLICATION OF MEDICAL AND HEALTH INTERNET OF THINGS SYSTEM
The medical and health Internet of Things system mainly includes the hospital mobile health, the official WeChat public platform, physiological information collection system and the original hospital information management system.
Hospital Mobile Medical System
Mobile health is the extension and expansion of the original Hospital Information system[6].With the development and design of the comprehensive system of the mobile health in the whole hospital, the hospital effectively combines the current hospital information management system and the mobile health application under construction. The mobile health information is characterized by portable hardware coupled with software applications and patient data that flows across wireless networks. The combination with the mobile system can dramatically enhance the working efficiency between medical clerk and management departments, strengthen the coordination among departments, and realize the seamless integration of the work process.
Hospital Official WeChat Platform
Figure 3.Architecture of physiological information acquisition system.
workers, which can be shared in the field of friends and promoted the hospital's brand image and service level.
Physiological Information Acquisition System
The physiological data is obtained through the wireless network, which is composed of sensors distributed in different parts of the user's body. Firstly, various physiological data such as blood pressure data, heartbeat data, pulse data, and so on is collected. Secondly, the gained data is transmitted to the terminal nodes through Bluetooth hybrid gateway. By short-distance and low-power transmission protocol, physiological data is upload to mobile intelligent terminal, and finally uploaded to online cloud service platform. Thirdly, users can login the front platform through registered account or used intelligent device to view their own historical record and health data trends at any time. Finally, users can adjust their daily life habits according to the individual's relevant condition.
Most of all the patient can also communicate with the medical staff through intelligent equipment’s at all times and places. They can understand their personal symptom information more systematic and comprehensive. Meanwhile, medical staff can collect and monitor the patient's physiological information in real time on the cloud platform, which is benefit for organizing expert’s consultation to make timely decisions and responses[7].
The architecture of physiological information acquisition system is shown as figure 3.
methods, both wireless sensor networks and mobile Internet are integrated to realize multi-scale transmission in anytime and in anywhere[8].
The physiological information acquisition system can ensure continuously monitor the physiological information of patients[9].It’s helpful for scientific management and instant service. n the end, the massive obtained information is integrated and processed through the cloud platform. Consequently, the personal health history data and various disease data are analyzed intelligently by large data platform. In the end ,the data are displayed in the form of charts, which can provide reference for the study of various diseases and improve the health level of residents.
Establishment of Cloud Computing Platform
As we all know, the cache is a high performance database, which is more suitable for the medical database than others at home and abroad. The cache database has the characteristics of fast query, simple to use, lower price, convenient upgrade, expansion easy, and support the Web development. For example, when the hospital needs to increase the client PC or expand its scale, there is no need to purchase the main server again. It's only necessary to increase the number of secondary servers, which will help the hospital to save money and reduce repeated investments.
M language is used as the programming language of the system, which is a cross-platform language of Microsoft. It can greatly reduce the difficulty of programming and save time, which ensures programmers have more energy to concentrate on the algorithm.
LINUX operating system is a stable multi-user network operating system, which has many advantages such as supporting multi-processor technology. It can run on a variety of hardware platforms. Especially, Linux not only supports multi-thread, but also supports multi-users. Each user’s program can run independently at the same time.
Considering the security requirements, hot standby is used which is very useful in improving system performance and reducing the cost of data backup. The server used heartbeat algorithm to back up the data between the leading computer and the assistant one to guarantee data integrality and security. en one server fails, the other server can take over the application in a short period, providing incessant services for key business of the server.
CONCLUSIONS
alleviate the imbalance of medical resources and the occupancy of medical resources by the elderly, but also improve the utilization efficiency of medical resources. Ultimately, it can meet the requirements of integrated medical and nursing health care services for the elderly. Medical staff rely on the clinical experience of with many years and big data mining technology to obtain the potentially regular knowledge of chronic disease. Ultimately, the health status is evaluated to realize the circular management of health risk factors. According to professional health promotion schemes of the system, patients can improve their health awareness and the self-management abilities. In Dongying of Shandong province, the internet of things service system for medical health services was introduced to promote the transformation of primary medical service institutions from traditional passive services to active health services, and improve the health level of local residents.
ACKNOWLEDGEMENTS
The work is supported by Shandong Natural Science Foundation: Research on Co-construction Mechanism and Sharing Model of Multi-source Medical Information Resources in County Hospital of Shandong Province Based on Cloud Computing (ZR2013FM024).
REFERENCES
1. Weiping Chen, Wenkai Diao, Yuanhong Xu. 2015. Research on the Intelligent Management Application of Resident Health Information Based on the Technology of Internet of Things, China Digital Medicine, (1):35-36,39.
2. Wei Bai, uling Zhang. 2017. The Design of Elderly Healthy Wearable Hand Ring System Based on IOT, Value Engineering, 36(03):99-100.
3. Guangqing Zhou, Shuyu Wu, Bingbing Xue, et al. 2014.Design and Implementation of Community Health Management Platform Based on Internet of Things, Chinese Medical Equipment Journal, 35(08):53-56,101.
4. Feng Zhang, Hongtian Wen, Zhenhong Huang, Etal.2015.A Human Body's Cloud Health Monitoring and Early Warning System Based on the Internet of Things Technology, Computer Measurement and Control, 23(6):1898-1901.
5. Longpin Yang, Lin Zhou, Yangyang Chen, et al. 2013.Real-time Health Monitoring System Relying on Wireless IOT Technology, Chinese Journal of Health Informatics and Management, 10(6):485-489.
6. Yuran Huang. 2018. Mobile Patient Management System Based on Cloud Platform and Big Data, Electronic Design Engineering, 26(9):41-45.
7. Xinchao Zhang, Yongfeng Wang, Shengyuan Zhang, et al. 2017. The Construction of Provincial Regional Medical Collaboration Based on Cloud Computing Model, Journal of Medical Informatics, 38(2):18-22.
8. Qin Li, Rongjie Cai, Wenming Guo, et al. 2017.The Research and Design of Medical Image File Accessing System Based on Cloud Computing, Electronic Design Engineering, 33(11):1778-1782.
