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Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

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Published on: February 16, 2022

Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study.

Hsiu-An Lee^1,2,3,4,5, Hsin-Hua Kung^2,3,4,5, Yuarn-Jang Lee⁶

¹Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan.

JMIR Medical Informatics

|December 15, 2020

Summary

This summary is machine-generated.

This study introduces a blockchain-based system using the International Patient Summary (IPS) for global infectious disease surveillance and case tracking, enhancing COVID-19 response and research collaboration.

Keywords:

COVID-19 COVID-19 defense HL7 FHIR blockchain infectious disease surveillance international collaboration

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Area of Science:

Public Health and Epidemiology
Health Informatics
Blockchain Technology

Background:

COVID-19 pandemic highlights critical needs for rapid global disease surveillance.
Existing methods for tracking and reporting infectious diseases are slow and labor-intensive.
Healthcare systems require effective data-sharing solutions to manage pandemic-related burdens.

Purpose of the Study:

To design a global infectious disease surveillance and case tracking system.
To facilitate the rapid detection and control of COVID-19.
To improve data sharing among healthcare providers during global health crises.

Main Methods:

Utilized the International Patient Summary (IPS) as a standardized electronic health record.
Employed blockchain architecture for secure data encryption, validation, and exchange.
Integrated Fast Healthcare Interoperability Resources (FHIR) for efficient data transfer.
Deidentified patient data to ensure privacy.

Main Results:

Developed a blockchain-based surveillance system for global COVID-19 data exchange.
Enabled physicians to upload and receive verified IPS data for case studies.
Implemented a Case Tracking module using blockchain for monitoring disease spread.
Facilitated real-time data uploading and enhancement through an Open Application Programming Interface (API).

Conclusions:

The developed system provides a robust platform for infectious disease surveillance, particularly for COVID-19.
Enhances rapid response capabilities for health authorities against unknown diseases.
Supports global research by enabling data analysis and facilitating collaboration on best practices and treatment outcomes.