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  • 公共衛生系統與醫院內部系統數據怎么對接?

    摘要: 然而基層醫療機構往往在落實此服務中,在健康檔案,數據錄入等數據互通上普遍面臨四大痛點:However, grassroots medical institutions
    However, grassroots medical institutions often face four major pain points in implementing this service in terms of data exchange such as health records and data entry:
    1. In terms of establishing health records
    Grassroots medical institutions input patient information from their own medical system into the health record module of the public health platform. If the original system does not have data export function, there is a problem of data collection in this regard;
    2. Data communication between systems
    The system of grassroots medical institutions and the public health platform are two relatively independent systems. The public health platform adopts a B/S architecture. If the system itself is limited to internal network use and achieves data exchange, it is even more difficult.
    3. In terms of opening interfaces
    The implementation of interface opening needs to be coordinated and executed by the software manufacturer. However, the manufacturer generally does not cooperate, coupled with the weak IT background of medical personnel in grassroots medical institutions, and the high cost and long development time of interface development.
    4. Manual data acquisition and entry
    Collecting data from the original system manually and entering it into the public health platform is a highly repetitive computer operation. The process of collecting and entering data is mechanically tedious, wasteful of labor costs, and prone to errors and omissions, resulting in low work efficiency.
    Approaching the pain points mentioned above, the currently popular software robots have provided solutions to the problem of data exchange between public health systems and hospital internal systems:
    It can achieve automated batch data collection on the original system, and then output the collected data into a standard Excel spreadsheet or other database format file. Then batch input it into the public health platform. Throughout the entire process, there is no need for interface development, so there is no connection with software vendors, which eliminates interface development costs and development time costs. The entire collection and input process, once the software robot is running, does not require manual intervention, achieving fast collection, accurate filling, and zero error rate.
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