Related Experiment Video
Updated: Mar 30, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
[Utilization of Multi-Institutional Laboratory Data as an Evidence Database: The Current Status and Future
Abstract:
The construction of a database that integrates raw laboratory data and diagnostic information with patient backgrounds is an effective tool in the practice of Evidence-Based Laboratory Medicine (EBLM). By exploring this type of database, it is possible to understand the diagnostic characteristics of the tests for a specific patient subgroup or condition. Although several studies have been carried out recently, these databases contain single-hospital data, and are thus limited regarding their external validity. In order to improve the reliability of the evidence, joint multi-institutional research is required. Therefore, the EBLM Committee of the Japanese Society of Clinical Laboratory Medicine arranged the symposium, entitled: "Utilization of multi-institutional laboratory data as an evidence database", which discusses current problems and solutions for the integration of multi-institutional laboratory data. In the symposium, five speakers presented on the following subjects: 1) Standardization of laboratory test coding (JLAC10); 2) The construction of a data warehouse in the hospital; 3) Multi-institutional study on long-term data changes; 4) Multi-institutional study on diagnostic accuracy; and 5) The construction of databases for the practice of EBLM and the need for the standardization/harmonization of laboratory data.
Related Concept Videos
Automated Microbial Diagnostics
Enzyme-Linked Immunosorbent Assay
There are many different types of ELISAs, but they all involve an antibody molecule whose constant region binds an enzyme, leaving the variable region free to bind its specific antigen. Enzyme-substrate reaction allows the antigen to be visualized or...
Statistical Software for Data Analysis and Clinical Trials
Investigation of Disease Outbreaks

