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Related Experiment Video

Updated: May 19, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Key-linked on-line databases for clinical research.

Thomas H Müller¹

¹Institute for Medical Informatics, Biometry and Epidemiology, University of Munich, Munich, Germany. mueller@ibe.med.uni-muenchen.de

Studies in Health Technology and Informatics

|August 10, 2012

Summary

This study introduces a secure network architecture for interconnected online databases. It enables data integration across multiple databases while protecting patient identification, enhancing clinical research and data management.

Related Experiment Videos

Last Updated: May 19, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Area of Science:

Biomedical Informatics
Data Science
Network Architecture

Background:

Separating patient identification from clinical data is crucial for data protection in online research.
Existing methods focus on individual data protection, limiting broader data integration.

Purpose of the Study:

To present a generalized network architecture for interconnected online databases.
To demonstrate a method for integrating data across databases without compromising security or data privacy.

Main Methods:

Implementing a network architecture with logically linked, interconnected online databases.
Utilizing common record keys between databases while hiding actual key values from clients.
Mediating simultaneous access to corresponding records via temporary access tokens.

Main Results:

The architecture allows data integration across different databases without replication or permanent sharing.
Each database retains control over integration scope and user access through its authorization scheme.
The system supports flexible adaptation to local requirements without disrupting network integration.

Conclusions:

This architecture enhances data protection beyond patient identification, enabling secure data pooling for various applications.
It facilitates the integration of diverse data sources, including clinical registries, biomaterial banks, and electronic medical records.
The approach offers a scalable and secure solution for cooperative data management in research and healthcare.