The Design And Initial Implementation Of Health Monitoring Platform On Chronic Disease

Chronic non-communicable diseases referred to as chronic diseases, the disease has a long and poor prognosis, with complications, poor quality of life characteristics, although the incidence, morbidity and mortality rate was high, but still is preventable and controllable, with emphasis on:How to make a patient long-term illness homeostasis and physiological balance, and give timely and effective treatment in the event of danger. Existing domestic and international market for personal health care products and systems, and these products are mainly focused on the the single physiological indices such as ECG, blood oxygen, blood pressure or blood sugar monitoring and data analysis respectively. This based database designed to ignore the intrinsic link between the various indicators, the data structure must not conducive to the integration of resources and analytical assessment. The same time, the medical information industry in China is still in its infancy, the data standards of the industry as a whole is extremely confusing, difficult to achieve data exchange between heterogeneous systems, this bound is not conducive to long-term development of the health surveillance.R&D institutions at home and abroad have been aware of the problems in the existing monitoring system, carried out various studies. Zou Na, who put forward the improvement of existing storage management model in the database level, in-depth data mining; proposed by Wang Haishun et al. Use HL7and XML technology to achieve information exchange and integration between heterogeneous systems, heterogeneous health data sharing ideas; Martin S et al proposed intelligent alarm algorithms based on multiple physiological parameters to improve the accuracy of the monitoring results, and achieved good results without increasing the complexity of the system on the basis of. Visible, the standard standardization of data association, and accurate results of advanced research and development of the health care system will become the trend.Our group design including physiological parameters capture terminal, mobile terminals, Tablet terminal, a complete health care system of health surveillance platform, which physiological parameters collected end portable measurement terminal and home monitor used to achieve health data collection mobile terminals and tablet terminal for temporary data storage and transit, health surveillance platform to health data reception, management, analysis. This research involves the design of health surveillance platform, the basic unit of each patient database management, dig individual the associated tracking personal evolution, and comprehensive dynamic analysis of the Multiple Indicator health data, and eventually come to represent the patient health health index of the state, to improve the accuracy of the guardianship assessment, using a wide range of applications in the international HL7standard Web monitoring platform guardianship data HL7standardization.Therefore, in terms of architecture design, health monitoring platform is divided into data management, analysis of the three parts of the assessment and HL7standardization. B/S network structure in terms of technology selected health surveillance platforms, hardware environment to take the rented virtual host structures, development techniques using Asp.Net C#as the development language to build a Web server, IIS, Microsoft SQL Server database management and maintenance, optional Visual Studio2010as the development tools, using the HL7standard health care data standardization. For both the relative weakness of the Visual Studio interface design, introduced Silverlight4.0MsChart controls to enrich the user experience, the C/S architecture and HL7interface engine part, in order to ensure the confidentiality of data security, the establishment of a healthy knowledge health data, user data, health assessment information as the main content of the database.Data management, unified management, health surveillance platform may involve data analysis and planning of health information management and service system, established in health platform end15relational data tables. In accordance with the functions to be achieved, will be divided into the following four modules: User information management module, health information management module, health education management module and system information management module.Data management is the basis of the data of the monitoring platform, providing hardware and software environment for analysis and evaluation, and the required data, and analytical assessment of the accuracy and precision of the algorithm will directly affect the overall performance of the monitoring system, a health surveillance system is good or bad is judged an important indicator. Therefore, the design of this module the assessment of the patient’s health status, is divided into two parts of the dynamic threshold algorithms and the analysis and evaluation algorithm.Threshold settings, the domestic general reference to national standards are not addressed directly. But national standards are based on a nationwide average, specific to each patient will have a range of fluctuation. Therefore, this study is based on a national standard, and proposes an adaptive dynamic threshold algorithm. By a weighted sum of the false alarm data, normal data and abnormal data, to update the alarm thresholds for each patient. If the threshold is set with the patient’s actual threshold greater access by gradually updated alarm threshold and patients real threshold gradually become more consistent, more in line with the physiological characteristics of the patient.The assessment of the health data based on the threshold set in the system for further processing, the health data on the user’s assessment of the user’s current physical state. This study draws on the evaluation of health risk factors in social medicine (HRA, Health Risk Factor Appraisal) the concept.However, the health risk factors (HRF, Health Risk Factor) finally compared with average HRF Area will ultimately determine the health status of the patient, the system to guardianship patients as the basic unit, in order to more accurate health assessment of proposed health index (HI, Health Index) instead HRF, and contrast from a regional within the average HRF becomes the threshold of personal history, to fit the user’s own characteristics analysis and evaluation algorithm.Under normal conditions, the physiological parameters were within the normal range, the health index of0, indicating that the user is in good health. User abnormal health index is greater than0, and the degree of risk is proportional to the health index and health index is greater than0, the statistical analysis of the physiological parameters to judge the causes of the care patients, notified the hospital relevant departments to prepare in advance to gain time, try to increase the possibility of patients get timely treatment for health ambulance.Technical means of data sharing between the heterogeneous system is to solve two key technologies. HL7standard, which originated in the United States, is the most widely used in the medical field of electronic data transfer protocol, this study uses the latest HL7V3version. One of the key technologies of HL7standard defines a standard data exchange formats and communication protocols, including HL7 message construction and parsing of heterogeneous information systems data exchange.Another key technology of XML meta-language is a definable description object structure, data objects are described using XML technology called XML documents, XML document structure is described by XML Schema. HL7V3supports XML format described by XML Schema predefined file structure, either between different systems to exchange data syntax, semantics, cognitive unified, but also validate the XML. Data exchange, the two sides have common XML Schema, is the basis of data interoperability between heterogeneous systems.HL7interface engine of the system design to achieve data exchange between heterogeneous systems. HL7data interaction, can be described as follows:(1) the message requester (HIS) to call HL7excuse engine, according HL7Schema, the requested information is encoded to form a standardized XML document;(2) XML document is sent to the monitoring platform via the Internet,3Q WiFi a variety of ways;(3) monitoring platform designed the HL7engine interface, using C/S mode is divided into two parts of the HL7Agent and HL7server the HL7proxy running on a platform FEP periodically upload the XML document is read, the data package into standard HL7message sent to the HL7server, the the HL7server listens and accept HL7messages from HL7agent to parse;(4) will be parsed health information stored in the database of the health surveillance.This paper presents a more realistic demand chronic health surveillance program, the final design including receiving, storage, analysis and evaluation of health data, doctor-patient interaction, schedule a consultation, physician orders issued multifunction including health surveillance platform. The design close to the doctor-patient habits, easy operation, in line with the actual custody requirements.Health surveillance assessment analysis tests on simulated data, the threshold algorithm better adapt to the patient’s threshold fluctuations, after a long period of custody, with respect to the national standard threshold value, based on the monitoring of patients adaptive threshold of the monitoring results accurate degree higher, indicating that the analysis and evaluation algorithm is indeed feasible. In terms of data sharing, reserved HL7interface has laid a solid foundation for the interaction of information systems for the future and HIS.However, in the course of the study, there are still problems:health assessment, health index for the standard measurement method correct rate needs to be improved, the algorithm needs to be further improved, and the set of relevant parameters need to experiment further amended; data sharing, due to hardware environmental constraints, test data sharing is not yet realized the need to build the hardware environment, data sharing work under the HL7standard test.In addition, with the development of society, the health care requirements. Health assessment should not be used as the endpoint of the health surveillance, health assessment should be based on, and continue to develop a healthy forecast downstream data base for chronic diseases, sociology; in the area of data storage, a day of guardianship data can reach tens of MB or even hundreds of MB users increase, the amount of data may reach TB or even PB level, multi-user, the management of the huge amounts of data is a difficult future in this subject, can consider the increasingly sophisticated use Cloud technology to solve. This design of health surveillance platform standardization in HL7, database management, health assessment put forward a new idea, a good reference for the health care industry, with the continuous development of health surveillance, HL7standards and XML technology matures good data interaction, accurate monitoring results, data management and reasonable health surveillance platform is bound to have broad application prospects.