VIP Service Center Sytem Research And Implementation Of Hospital Of Grade Ⅲ Level A

With the advent of the information age, information technology, with its efficient, convenient, quick advantage, has been applied to various fields.Hospital as a technology-intensive unit, but also has strong demand to the information technology, especially after the country put forward the medical informationize policy, hospitals are vigorously developing the information, network construction.Hospital information system has been widely used in hospitals, medical equipment and instruments are digitizing. Information technology began to penetrate to each department of hospitals, many new high-end information technology are being applied to medical field, all that has been made hospital work much more convenient, improve efficiency. Hospital informationize has become the essential conditions of modern hospital construction.This paper based on "public health security and disease analysis warning system" project. Research and implementation system of remote health monitoring and aid, ,Research and implementation system of Intelligent diagnosis Use data mining technology analysis of symptoms, obtain the disease forecast model, Used for clinical assistant diagnosis,. The result has been used for First Hospital of Jilin University.obtained good results.With the rapid development of the society ,the pace of modern life has gotten faster and faster ,there are more and more pressure on spirit an physical body. Excessive fatigue makes physical strength and energy overdraft, for long term because of the heavy burden. But due to various reasons, people have no time to focus on health issues, and do not take enough measures to keep their health. Remote health monitoring and rescue system do work based on health records, and complementary with measurement equipment and communication equipment. It can measure blood pressure, heart rate, ECG, body temperature at any time, process and analysis date, monitor their own health. Systems design deft, only the size of an ordinary watch, it is convenient to carry. So it overcomes the drawback of the traditional measuring equipment that it can only measure in a fixed location due to the large size.Send measurement data to the smart phone system through the Bluetooth module, then the smart phone system transmits it to a remote hospital data center through GPRS network. The data stored in the data center. The date can be analyzed. If the analysis results show that there are health problems, the warning system immediately alert users, remind consumers take measures immediately to avoid danger. In addition, the system also has a positioning function, if the users are in dangerous, the system can immediately use GPRS to locating and find out the user location.This paper studied the application of decision tree technology in medical field of data mining。The decision tree technology is one of the most active technology of data mining areas, the results are precise and easy to understand. also used widely. There are several typical of decision tree, they are ID3,C4.5,IBLE and so on. In this paper we use C4.5 algorithm to analyze the medical records of patients with TypeⅡDiabetes mellitus and IGT disease which come from First Hospital of Jilin University. And classify the Symptoms attribute of patients with TypeⅡDiabetes mellitus, Through comparing the information gain rate for each attribute to choose properties with the greatest amount of information as Node classification properties So as to construct a decision tree, and extract classification rule .Built a prediction model according to the classification rule, building intelligent diagnosis system in order to make auxiliary judgment to patient's condition, and help clinical doctors make correct diagnosis.In summary, this paper designs and realizes the VIP service center system. Remote health monitors and rescue system monitoring healthy situation at anytime and anywhere. nip in the bud. Intelligent diagnosis system using the data mining decision tree method analyzes specific medical records. The valuable diagnose rule applied to clinical, helps clinicians make the correct diagnosis.