During a six-month collaboration, Beijing University of Chinese Medicine will build a detailed taxonomy of terms and data related to traditional Chinese medicine in Embase, Elsevier’s biomedical literature database. The organizations’ goal for the project is to enable researchers to search for and retrieve relevant evidence on various compounds.
Officials expect the taxonomies will go live in Embase in early 2019. Together with clinical research already housed in Embase, Elsevier officials hope analysis of integrated information will provide researchers with insight into how traditional Chinese medicine might complement conventional medicine.
“The trend in the use of traditional and complementary medicine is growing globally,” said Cameron Ross, managing director of life science solutions at Elsevier. “In response to these market demands and the expectations of our customers, we are working with BUCM to build a taxonomy for Chinese medicine that will help our clients examine specific TCM practices from a scientific perspective.”
More articles on health IT:
UC San Francisco, Samsung partner on blood pressure app for research
Researchers use EHRs to identify hypertension among safety-net patients
NIH’s genome institute to unveil new roadmap for genomics research in 2020