Medical informatization of management system for admission office under convolutional neural network
Abstract
The study aims to construct a client/server model of a three-tier architecture based on the convolutional neural network (CNN), which is responsible for information management in admission office, including eight aspects of the registration management, admission management, prepayment management, inpatient charge management, settlement management, report statistics management, information query management, and help management. The test results of the system show that the management system constructed can run 48 h trouble-free for registration services, no-fee discharge services, inpatient charge services, and settlement services, and the average response time of the system is less than 10 s. The management system constructed for the admission office realizes the medical informatization, and heightens the work efficiency of relevant workers.
Open Research
DATA AVAILABILITY STATEMENT
No data were used to support this study.