Medical research model and its application in ophthalmology under the background of big data

Authors: Zhou Nan,  Wei Wenbin

DOI: 10.3760/cma.j.issn.2095-0160.2019.12.015
Published 2019-12-10
Cite as Chin J Exp Ophthalmol, 2019,37(12): 1024-1028.

Abstract                               [View PDF] [Read Full Text]

With the rapid development of global information technology, the wide application of electronic medical record management system and the construction and operation of biological sample base platform, the research value of medical big data is increasingly valued.In recent years, as a bridge between basic medical research and clinical medical research, the progress of translational medicine has greatly shortened the space-time distance between basic and clinical medicine, and also opened up a new prospect for the application of medical big data.As a methodology of clinical medical research, epidemiology emphasizes the design, measurement and scientific evaluation methods of medical research, which plays an important role in every link of translational medical research and is an important part of translational medical research.It takes systematic epidemiology as the main research method, deeply excavates and makes full use of medical big data resources, promotes translational research and knowledge integration with the rapid development of big data, the clinical transformation of basic research results of ophthalmology has entered a new era, greatly promoting the cross integration of ophthalmology and related fields.

Key words:

Medical big data; Translational medicine; Epidemiology; Biological database

Contributor Information

Zhou Nan
Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology&Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
Wei Wenbin
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Updated: December 28, 2022 — 1:10 am