scholarly journals Research on the Smart Medical System Based on NB-IoT Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yanming Cheng ◽  
Xieqiu Zhao ◽  
Jing Wu ◽  
Hemiao Liu ◽  
Yulian Zhao ◽  
...  

In recent years, with the constant development and integration of Internet technology, Internet of Things technology, and intelligent terminal technology, to make people’s work and life more comfortable and convenient, these new technologies have been more and more widely used in daily home life such as social education, agricultural production, industrial production, medical, and other fields. However, at present, there are still a lot of room for development in the application of new technologies in the medical and health industry. Especially in the context of hospital information construction and medical difficulties, the functions of fixed information points such as traditional nurse stations and doctor stations no longer meet the growing medical needs of people. Therefore, how to introduce these new technologies and design to a practical and low-cost intelligent medical information management system that realizes the convenient management and efficient management of medical personnel has become a top priority. In view of the problems faced by the hospital, this paper proposes an intelligent medical plan based on NB-IoT technology and develops a smart hospital information management system. Test results indicate that patients can easily and conveniently register their appointments through the Android mobile client. Through checking medical records and hospital news updates, medical staff can more easily complete their work. Comparison results of performance variance between the common server and adaptive algorithm web server demonstrate that an adaptive load balancing algorithm can achieve a more accurate allocation of the load. Therefore, the web smart medical information management platform can manage hospitals more comprehensively.

2014 ◽  
Vol 644-650 ◽  
pp. 3166-3169
Author(s):  
Ming Li ◽  
Shu Yuan Yang

The existing hospital information management system generally does not support remote access and the information sharing is low. In order to adapt to the needs of the development of medical information management, the hospital information management system should be developed based on B/S structure. The system should store staff basic information, outpatient and hospitalization reimbursement detail in the database; can timely reflect the patient fee in arrears; draw graphical statistics of the use of funds, the incidence of disease, drug usage information; can set reimbursement policy according to the conditions and can automatically submit an expense account settlement, fund collection, decomposition of annual and carry forward; show the real-time dynamic tracking information for ins and outs of supplies, equipment, and drugs, reduce the backlog and shortages.AFS.NET technology.


2018 ◽  
Vol 7 (4.7) ◽  
pp. 78 ◽  
Author(s):  
Igor P. Balabanov ◽  
Fail F. Davletshin

In the modern actively developing conditions of globalization and informatization of production, and emergence of new technologies, only those firms have chances to remain at the market which find ways and means of optimization of processes in time. Adhering to the basic principles of the integrated system of management ensures the most natural and trouble-free functioning of all organizational structure. This paper covers the specifics of work with documentation, or the system of paper and electronic document flow, and with the application of an electronic document management system taking into account observance of requirements of documentary information management system. Adherence to ISM requirements for documentary information management is quite real with options of conducting document flow. Nevertheless, it is much simpler and more effective to perform with already introduced EDMS, and the effect of its use of subjects is higher when the enterprise scale and a number of staff involved in work with documentation are bigger. The maximum output can be achieved from electronic document flow introduction with an optimum ratio of the functions demanded in operation and if opportunities of the chosen system correspond to them.  


2018 ◽  
Vol 5 (7) ◽  
pp. 180625
Author(s):  
Bin Zhang ◽  
Yi-wei Ye ◽  
Xi-zhong Shen ◽  
Gang Mei ◽  
Han-xun Wang

The China Levee Project Information Management System (CLPIMS) is an information management platform that was established for levee project management within the seven major river basins in China. The system was developed on the basis of the VS.NET and ArcGIS Server and was combined with the database theory and key techniques of WebGIS, which has the features of real-time display, enquiry, statistics and management of spatial data under browser/server mode. Moreover, additional applications, such as real-time monitoring, safety assessment, early warning and danger forecasting and online analysis, can be further explored through reserved modules. The CLPIMS can serve not only as a scientific, systematic, visual tool for analysis and decision management in levee projects in China but also as a technical platform for flood control practice. Furthermore, the system is capable of unified management and sharing of the levee project information for the seven major river basins in China, and it is important for the improvement of office automation, E-government applications and the level of flood control operations.


2020 ◽  
Author(s):  
Ilker Kose

Abstract Background: Electronic claim processing (ECP) systems in healthcare insurance require comprehensive and secure management of medical information. Even though state of the art ECP systems can read payment rules written in plain-text, there are hundreds of rules (each including dozens of conditions) in a conventional ECP system. The conditions of the rules, in turn, refer to thousands of medical entities and concepts. Although domain experts can manage plain-text payment rules, the length and complexity of the rules yield low comprehensibility and in-rule and inter-rule consistencies. Hence, a more efficient and straightforward system is required. This study aims to make a claim management system medical data bank more efficient using ontology. Method: We developed an ontology-based medical information management system (ONTMIMS) in healthcare insurance to simplify payment rules. 1,312 sets of diagnosis and health services were included in the ONTMIMS. The development of the ontology was compromised of four stages: i) specification and conceptualization; ii) formalization; iii) implementation; and iv) evaluation. Protégé and Apache Jena library tools were used to execute queries on the ontologies and the ONTMIMS was tested on an active ECP system. Results: The experiments indicated that ONTMIMS increased comprehensibility rates for domain experts from 35.1% to 64.9%. Distinguishing in-rule inconsistencies increased from 65% to 82.5% and distinguishing inter-rule inconsistencies increased from 78.8% to 85%. Conclusions: Ontology, as in many other studies, is very useful in representing and processing information. This is the first study applying ontology to ECP systems for health insurance institutions. The results demonstrate that applying ontology increased in-rule and inter-rule consistency and made rule sentences more comprehensible to domain experts.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Panhong Ren ◽  
Mengjian Nie ◽  
Hui Ming

Based on the technology of Internet of Things, this paper proposes a sports good recycling management system and realizes the system optimization. Based on the management of returned good flow based on the Internet of Things, we can comprehensively apply system integration technology, system architecture, cloud computing technology, etc., based on the current situation of surrounding return flow management, combined with the reality of the sports product recycling business process. From two aspects of process information and operation information, based on the information system of each link of the Internet of Things recycling, a recycling logistics information management system platform is constructed. This can solve the problem of the integrated management of the recycling logistics process and the operation control of the recycling logistics management system. In the stage of sports information management, combined with the Internet of Things technology, we should do a good job of sports artificial intelligence management and information knowledge exploration. In the development of sports under the framework of the Internet of Things, we should combine the needs of sports information management and the technology mode of the Internet of Things, so as to realize the scientific and standardized management of sports good recycling under the Internet of Things technology.


2019 ◽  
Author(s):  
Ilker Kose

Abstract Background The electronic claim processing (ECP) systems in healthcare insurance require, naturally, comprehensive, and secure management of medical information. Even though the state of the art ECP systems can read the payment rules written in plain-text, there are hundreds of rules (each including tens of conditions) in a conventional ECP system. The conditions of the rules, in turn, refer to thousands of medical entities and concepts. Although domain experts can manage the plain-text payment rules, the length and complexity of the rules yield a lack of understandability and an increase in-rule and inter-rule inconsistencies. Hence, a more efficient and straightforward system is required. This study aims to make the medical data bank that is used for the claim management system more efficient by using ontology. Method We proposed ontology- based on the medical information management system (ONTMIMS) in healthcare insurance- to simplify the payment rules. 1,312 sets of diagnosis and health services are included in ONTMIMS. The development of the ontology compromises four stages: i) specification and conceptualization; ii) formalization; iii) implementation; and, iv) evaluation. Protégé and Apache Jena library are conducted as tools, and the ONTMIMS is used in a real-life ECP system. Results The experiments indicated that ONTMIMS increased the understandability from 35.1% to 64.9%. Distinguishing in-rule inconsistencies increased from 65% to 82.5%, and distinguishing inter-rule inconsistencies increased from 78.8% to 85%. Conclusions Ontology, as in many other studies, is very useful in representing and processing information. That is the first study using ontology in ECP systems used in health insurance institutions. The results showed that ontology increased the in-rule and inter-rule consistency and made the rule sentences more understandable by the domain experts.


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