Introduction. Exploring the application of a new data center-based pharmacy service system. By collecting data from business systems for standardized transformation, it forms a clinical data center and an operational data center, thus meeting the business needs of new pharmacy services. It improves the rationality and safety of prescriptions, ensures patient medication safety, and achieves the goal of assisting hospitals in medication management. The construction of a new pharmacy service system based on the data center will provide complete and unified data for medical clinical and scientific research and improve the efficiency of hospital operations.
As hospital information technology continues to evolve, hospital operations are increasingly dependent on information systems, and the number of hospital information systems continues to grow. However, the more systems there are, the more information silos there are, and as a direct result, information systems are generating and accumulating more and more junk data, making it difficult to achieve business synergy and subsequently to improve operations effectively. To avoid the formation of information silos and to make full use of these data resources, a data center was introduced, and based on this platform, a unified data standard was established to unify the identification and content of data shared by various hospital systems, thus providing a better information base for hospital management.
2 Background of the study
Clinical Data Centre (CDR)so-called Clinical Data Centre (CDR) It is the patient-centered， Integration of data for medical operations and hospital management according to standard data formats， Establishment of an institution-wide information resource centre， and open up various standards on the basis of this、 Data access services that comply with legal norms and security requirements， Regional cross-institutional medical information sharing and business collaboration， Ultimately, to achieve assisted improvement Medical services quality、 Reducing medical errors、 Improving clinical research， Supporting information for decision making and reducing healthcare costs。
Construction of the data centre platform The clinical service systems currently in use are: HIS, Electronic Medical Record System, RIS/PACS, LIS, Ultrasound Imaging System, ECG System, Surgical Anesthesia System, etc. Through the application of an intelligent data collection platform, the data generated by all business information systems in the hospital will be brought together, thus building a hospital-wide data center and promoting the secondary use of medical data. The hospital-wide data center is built to form a set of standardized data models, which can easily build various data presentation and utilization views, thus adapting to the changing clinical, management, quality control and research needs of various hospital users with different roles.
3 System logical framework design
Based on the principle of data integration and cross-institutional collaboration, the data center platform collects data from business systems for standardization and conversion, forming a clinical data center and an operation data center to achieve integrated data integration of internal hospital application systems and inherit existing data resources and services internally, and interoperability with branch hospitals and subordinate medical institutions externally. The information planning framework takes the hospital information platform as the core, integrates business system data downward, and provides various platform applications upward for different users. The framework is implemented based on SOA, with the loosely coupled nature of SOA service-oriented architecture, enabling the platform to add new services or update existing services in a modular way with good scalability, thus meeting new business needs in the future and allowing existing applications to be used as services. Its general framework is shown in Figure 1.