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Updated: Jun 8, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

A study on agent-based secure scheme for electronic medical record system.

Tzer-Long Chen¹, Yu-Fang Chung, Frank Y S Lin

¹Information Management Department, National Taiwan University, Taipei, Taiwan. d97725005@ntu.edu.tw

Journal of Medical Systems

|September 22, 2010

Summary

This summary is machine-generated.

This study enhances electronic patient record (EPR) security using Mobile Agents and a novel key management scheme. It ensures secure cross-hospital access to sensitive patient data, improving healthcare efficiency and data protection.

Related Experiment Videos

Last Updated: Jun 8, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

Computer Science
Information Security
Health Informatics

Background:

Traditional paper-based patient records present significant challenges including data fragmentation, poor accessibility, and physical degradation.
The transition to electronic patient records (EPRs) has improved data management but faces interoperability issues and security vulnerabilities in cross-hospital access.
Existing integrated EPR systems are costly and difficult to implement due to the heterogeneity of hospital systems.

Purpose of the Study:

To address the security challenges of accessing electronic patient records across different hospital systems.
To propose a secure and efficient access control scheme for cross-hospital EPR systems using Mobile Agents.
To enhance the protection of sensitive patient data during transmission and access.

Main Methods:

Application of the Mobile Agent scheme, a program capable of autonomous movement and process execution across heterogeneous networks.
Development of a key management scheme utilizing Lagrange interpolation formulas and a hierarchical management structure.
Security and efficacy analyses to validate the proposed scheme and compare its performance.

Main Results:

The proposed Mobile Agent scheme with the novel key management system significantly enhances the security of EPR access.
The system demonstrates improved key management efficacy and robust protection of the Mobile Agent system.
The scheme provides a secure and efficient method for accessing patient electronic patient records across hospitals.

Conclusions:

The Mobile Agent scheme, augmented with Lagrange interpolation-based key management, offers a viable solution for secure cross-hospital EPR access.
The proposed approach guarantees the security of Mobile Agents during operation and protects sensitive patient information.
This enhances overall healthcare data security and facilitates more efficient patient data sharing among medical institutions.