Objective:To realize the hospital charging interface integration and sharing by using Web Service based system integration technology for resolving the problems the length of the shortcomings of low efficiency of payment and settlement in hospital.Methods: Using a service-oriented (SOA) open and loose coupling architecture, all agreements provide application services for XML-based standards. It can realize the integration of charging and making price and payment accurately, conveniently and quickly.Results: The integration platform based on Web service can apply complex heterogeneous system, support custom adapter connection, reduce the coupling between the module and improve the versatility of system data.Conclusion: The system is safe and reliable, and has a good sharing compatibility features. It can be able to upgrade and functions expansion. The application of integration technology will greatly improve the medical staff's working efficiency, provide convenience of patients, and reduce the hospital operation maintenance cost.

Objective:In view of the current existing in the construction of hospital information system, poor compatibility between the software, data sharing difficult shortcomings, puts forward the solution based on Web service to realize the hospital information resources integration and sharing. Methods: Using medical digital image communication standard (DICOM), medical layer 7 (HL7) and Web service technology, through constructing a unified hospital information integration platform to integrate hospital information system (HIS), medical imaging system (PACS) and radiology information system (RIS). Results: Based on Web service integration platform can apply complex heterogeneous system, support custom adapter connection, reduce the coupling between modules, improve the commonality of data, system have strong extensibility. Conclusion:The application of integration technology will greatly improve the hospital the system stability, security, compatibility and efficiency, and the hospital running maintenance costs were reduced.

Objective: To deal with disaster relief, military exercises and sudden accident of scene forces medical rescue mission, aimed at laying cable network for each rescue mission deployment of manpower cost and the high cost of shortcomings, puts forward the use of wireless communication technology applications include construction of network system. Methods:Local wireless communication network is set up that around vehicular mobile medical information data center. Uses the eLTE broadband cluster technology as the local LAN carrying, through the deployment of LTE CPE device will be LTE signal into a wi-fi signal, for CPE surrounding wi-fi access equipment. Results:Single cluster station and don't need to cable connection between CPE, communicate through wireless LTE signal. IT equipment for medical use by wireless router or wireless module (department) wireless network access to the nearest tents, thus the whole battlefield rescue center by means of wireless local LAN connectivity was realized. Conclusion:the application of the wireless communication technology, the overall ascension of our medical and health unit in medical treatment activity ability, the cost of laying cable network was minimized.

Objective:We do it to solve the problem of low efficiency in analyzing risk factors of type 2 diabetes mellitus by Apriori Algorithm.Methods: We used the patients’ data from the information department of one tertiary referral hospital in Lanzhou which include course note of disease and their health record form January 2009 to March 2014.We found out that the FP-growth algorithm analyzes risk factors of type 2 diabetes better. And we analyzed the efficiency by programming FP-growth and Apriori algorithm with C#.Results: We can analyze the run time and recorded data, time and support degree.Conclusion:The FP-growth algorithm has a higher efficiency in analyzing risk factors of type 2 diabetes mellitus.

Objective:To design a medical big data center based on data warehouse(DW)and data service platform,to integrate information resources between different information systems and organizational structures,to build a secure channel for data sharing,and to meet the needs of clinical application data.Methods:Based on data flow direction,and according to hospital clinical services,operation management,and scientific research development,a top-down data application layer,data service layer,DW layer,and operational data storage(ODS)layer design architecture was adopted to design a medical big data center based on DW and data service platform.Guided by hospital data and business,according to the"object-event-report"data splitting logic,the activities corresponding to the roles in each subject domain were disassembled and sorted out to facilitate quick invocation in clinical applications.Results:The medical big data center was equipped with basic modules for patient master index management and master data management,covering 16 major business subject domains and 52 business subdomains,including hospital's clinical services,hospital management,and patient identification.The medical big data center application included clinical data center,operation data center and scientific research data center,and clearly defined the correlation logic between major categories of information,centrally managed the whole life cycle of service application program interfaces,combined master data information,comprehensively managed medical data,realized the normalization of hospital data,and established high-quality data assets and flexible DW models with the help of big data technology.Conclusion:The medical big data center based on DW and data service platform can integrate different information systems of the hospital with data within the hospital,realize the convenient invocation of interface services and the standardized and persistent management of hospital data,and ensure the data applications needs of clinical application,operational decision-making,and scientific research analysis.

Objective:To design a hospital pre-triage system based on the Spark big data platform and the improved Adaboost algorithm,and to pre-triage patients in the hospital in advance and accelerate the process of medical treatment.Methods:Based on the Spark big data platform,the basic data from patients entering the hospital for the first time was collected in real time,and the blockchain technology was applied to the whole process of data collection,storage and transmission,and the data was analyzed by the improved the Adaboost algorithm.The outpatient data of The 940th Hospital of the PLA Joint Logistics Support Force in the 10 years from 2011 to 2020 were used as the dataset to quickly identify and guide patients to seek medical treatment in the hospital.The application effect of the hospital pre-triage system based on the Spark big data platform and the improved Adaboost algorithm was analyzed.Results:When the custom limit weight threshold of the improved Adaboost algorithm was set to 0.52,the algorithm accuracy reached a peak of 95.56%,and the accuracy of pre-test triage was 4.24%higher than that of the traditional Adaboost algorithm.The average waiting time for patients was shortened from 0.8 h before the triage to 0.5 h,and the average consultation time for patients was shortened from 6 min before the triage to 4.8 min.Conclusion:The hospital pre-triage system based on the big data platform and the improved Adaboost algorithm can pre-triage patients before diagnosis in advance,improve the efficiency and accuracy of the triage,and relieve the hospital visiting pressure.