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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Published on: July 11, 2025

General Surgery Clinical Information Management System Based on Intelligent Data Management.

Juexing Xie¹, Wen Luo¹

¹Zhejiang Taizhou First People's Hospital, Taizhou 318000, China.

Computational Intelligence and Neuroscience

|August 12, 2022

Summary

This study introduces an intelligent data management system for general surgery clinical information. The developed system enhances surgical case management through modular design and HDFS-based image storage, proving effective in simulations.

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Area of Science:

Medical Informatics
Data Management
Surgical Information Systems

Background:

Effective management of surgical clinical information is crucial for improving patient care and operational efficiency.
Current systems may face challenges in handling diverse data types and ensuring efficient storage and retrieval.
Intelligent data management technologies offer potential solutions for optimizing clinical information systems.

Purpose of the Study:

To construct a general surgery clinical information management system using intelligent data management technology.
To design a system capable of mutual conversion between XML and relational data.
To implement a digital microscopic image storage solution based on HDFS architecture.

Main Methods:

The study employed a layered architecture design for the clinical medical case information management system.
Modular design principles were utilized for system construction.
A digital microscopic image storage mode based on the Hadoop Distributed File System (HDFS) architecture was adopted.

Main Results:

The system successfully integrated intelligent data management for general surgery clinical information.
The system demonstrated effective mutual conversion between XML and relational data formats.
Simulation tests verified the system's functional structure and positive performance outcomes.

Conclusions:

The developed general surgery clinical information management system, leveraging intelligent data management, shows significant effectiveness.
The system's modular design and HDFS-based image storage contribute to improved clinical information management.
This approach offers a robust solution for enhancing surgical data handling and accessibility.