The Research Attitude Required for Engineers Who are Involved in the Development of Data Warehouses for Epidemiological Analysis: Let us Provide Value, not Just a Labor Force

Tomohide Iwao*

Received: November 24, 2018;   Published: November 30, 2018

DOI: 10.26717/BJSTR.2018.11.002123

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Abstract

Recently, especially in Asian countries such as Korea, Taiwan, and Japan, databases that store treatment information used for insurance claims (insurance claims databases) have been set up at the national level. Some of these insurance claims databases have also been made publicly available for secondary purposes such as research and studies, and many research papers have already been published especially in the field of epidemiology. However, these databases were not constructed with the expectation of such secondary uses, so there are many cases where the data required for analysis is insufficient. The most well-known databases use the relational model that is based on predicate calculus and set theory [1]. The relational model is used for each country’s insurance claims database [2] and normalization is performed as is appropriate for data storage and update [3].