Volume 39, Issue 3 e12780
ORIGINAL ARTICLE

Medical informatization of management system for admission office under convolutional neural network

Guan Wang

Guan Wang

Department of Cashier, Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China

Search for more papers by this author
Dandan Li

Dandan Li

Finance Section, Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China

Search for more papers by this author
Jinling Ge

Jinling Ge

Gastroscope Room, Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China

Search for more papers by this author
Tao Wang

Corresponding Author

Tao Wang

Procurement Centre, Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China

Correspondence

Tao Wang, Procurement Centre, Affiliated Hongqi Hospital of Mudanjiang Medical University, No.5 Tongxiang Road, Aimin Square, Mudanjiang, 157011, Heilongjiang, China.

Email: [email protected]

Search for more papers by this author
First published: 10 August 2021

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.

DATA AVAILABILITY STATEMENT

No data were used to support this study.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.