Hospital Healthcare Worker Management System

According to the data of the sixth national census, there are 0.17 billion aged people in China, accounting for 13.32% of China's population. China has become an aging country, and the demand for care has increased significantly. Taking Beijing as an example, the annual scale of the care market is 4.2 billion yuan, and the national market is 75 billion yuan. It is understood that the current rate of care is only 30% - 40%. In addition, there are some problems in the traditional care market, such as irregular service, opaque price and unstable work. O2O, which emphasizes high efficiency and high quality, came into being.

Based on the order receiving platform of PC and wechat small program mobile Internet technology, the Healthcare Worker management system tracks and manages the whole process of the carer order, and has a series of management functions such as carer screening, carer replacement, carer increase, approved price, settlement notice, service evaluation, etc.

The system includes the following functional modules:

1. Order online

Customers can order through wechat applet scanning

2. Order management

To customize a scientific, complete, refined, safe and intelligent management scheme for the complex business processes among customers, support workers and third-party platforms; to enable administrators and customers to grasp the order information in real time.

3. Information management of support workers

All real name certification of nursing workers, according to the evaluation and grading of previous nursing records, enables excellent nursing workers to stand out and provide quality services for more employers.

4. Financial management

Financial management is mainly to display the financial details of the administrator, with the support workers and settlement functions, and the financial department manages the collection and lending of the administrator.

5. Statistical analysis

Statistics of the operation of the whole platform and the workload of the support workers.

6. Customer care & big data analysis

Record the customer's history, living habits, eating habits, etc.; if you place an order again, the system will give priority to the familiar carer to give better care to the customer.