Data processing system based on monitoring information

Abstract

The invention relates to a data processing system based on monitoring information, which comprises an acquisition module, a construction module, a statistics module and a receiving module, and is characterized in that the acquisition module acquires user information; the construction module constructs scheduling information, and the statistics module counts the total attendance time of any user, determines the working time of the user, and determines the performance completion rate according to the working time; the receiving module receives a user request, judges whether the request accords with an approval standard according to the demand information, the department position and the performance completion rate, and sends an approval verification code, first time when the user request is received and second time when an approval result is given to the user if the request accords with the approval standard; and adjusting the time period length of the first time and the second time according to the department where the user is located, the department position and the performance completion rate. A relation is established between approval of user demands and actual work performance, and performance completion conditions in work are used as reference data of demand approval, so that the approval efficiency is improved.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Benefits of technology

By analyzing how well an employee works at their respective location within healthcare organizations, they may compare performances against standards before making recommendations. Based upon these comparisons, appropriate evaluating periods (called trial times) could be determined during the recommended phase. These intervals help prevent unnecessary expenses from being paid out due to poorly satisfied customers who require higher service levels than usual. Additionally, the longer the wait period needed for acceptance results suggests better management decisions and improved overall patient care experience. Overall, this technology helps streamline clinic operations and enhances decision-making processes.

Problems solved by technology

This technical problem addressed in this patented describes how current methods are limited because they have either just collected or analyzed certain types of information from different sources like paper documents or emails that were received during patient visits without any consideration about their impacts upon healthcare workers' overall productivity levels (PTL).

Images