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，建立健康檔案方面

1. In terms of establishing health records

基層醫療機構將本身醫療系統上的病人信息錄入到公衛平臺健康檔案模塊，如果原系統沒有數據導出功能，那么此方面存在數據采集的問題；

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，系統間數據不通

2. Data communication between systems

基層醫療機構的本身系統與公衛平臺是兩個相對獨立的系統，公衛平臺采用B/S架構，如果本身系統只局限于內網使用，做到數據互通，更是難上加難。

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，開通接口方面

3. In terms of opening interfaces

開通接口需在軟件廠商協調一致的情況下進行落實執行，然而廠家一般不配合，再加上基層醫療機構的醫務人員一般IT背景不強，并且接口開發的成本費用高，開發時間長。

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，人工獲取數據，人工錄入

4. Manual data acquisition and entry

采用人工采集原系統的數據，錄入到公衛平臺是一個重復性高的電腦操作，采集錄入過程機械枯燥，浪費人力成本不說，容易出現錯填漏填的情況，工作效率低。

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.

趨于上述痛點，目前比較受追捧的軟件機器人在解決公共衛生系統與醫院內部系統數據互通的問題上，提供了解決方案：

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:

它可以做到自動化批量完成在原系統上的數據采集工作，再將采集到的數據輸出成一張標準的Excel表格形式或者其他數據庫格式文件。然后再批量錄入到公衛平臺之中。整個過程，無需接口開發，所以不存在與軟件廠商對接，免除了接口開發費用和開發所耗時間成本。整個采集和錄入過程，一旦軟件機器人運行起來，無需人工干預，做到快速采集，準確填寫，零出錯率的效果。

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.