Analysis on the Key Points of Clinical Research Management Based on the Scientific Research Big Data Platform of a Tertiary Hospital
10.12026/j.issn.1001-8565.2023.07.08
- VernacularTitle:某三甲医院科研大数据平台的临床研究管理要点探析
- Author:
Lingling XU
1
;
Hao WANG
2
;
Lin LIN
3
;
Zixiao LI
4
;
Yong JIANG
4
;
Wei SUN
1
;
Shuping XIAO
1
;
Caizhen BAI
1
Author Information
1. Medical Ethics Committee, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100070, China
2. Office of Science and Technology, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100070, China
3. Center for Information, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100070, China
4. China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100070, China
- Publication Type:Journal Article
- Keywords:
Medical Data;
Big Data Platform;
Clinical Research;
Ethical Review
- From:
Chinese Medical Ethics
2023;36(7):749-753
- CountryChina
- Language:Chinese
-
Abstract:
With the rapid development of healthcare big data and artificial intelligence technology, how to utilize the massive medical data generated based on clinical diagnosis and treatment has become an important issue to be solved in the field of clinical research. Clinical diagnosis and treatment data is an essential part of healthcare big data, and also the main field of healthcare big data research. With the continuous deepening and extensive development of informatization, hospitals have accumulated a large number of patient-centered clinical diagnosis and treatment data. Deeply mining and analyzing these data through big data technology can provide reference for precise diagnosis and treatment, and standardized prevention and control of diseases. However, conducting relevant research still faces many difficulties and blockages, such as the increased risk of data leakage or abuse, and the difficulty in implementing informed consent. To safely, legally and efficiently utilize clinical diagnosis and treatment data to conduct clinical research and fully tap into the value of these precious medical resources, a tertiary hospital in Beijing has built a research big data platform and developed relevant systems to effectively solve the problems of blockages and difficulties in the application of rich clinical resources to clinical research, and improve the service quality of medical institutions and the conversion rate of scientific research achievements. By introducing the key points and management methods in the implementation of clinical research based on the scientific research big data platform, analyzing and exploring the existing problems and improvement measures, this paper aimed to provide theoretical basis and system reference for high-quality and efficient health and medical big data clinical research, inspire and promote the continuous improvement of medical research management, and promote the development of medical and health science and technology innovation.
