Development of terminology and an information model for standards

Abstract

Recently, so called Big Data has been remarked upon as a resources of machine learning-based artificial intelligence. Moreover, healthcare data have been integrated for clinical use and secondary use, including clinical research, public health, and so on.

However, the lack of interoperability has blocked the reuse of clinical data. Standardization of terminology will improve the efficiency of data collection, data quality, and reuse of data.

In this article, we describe the problems that exist in processing clinical data with machines using terminology and concept models.