[Thoughts and suggestions on arrangement, analysis and summary of medical data during COVID-19 epidemic].
Zhongguo Zhong Yao Za Zhi
; 45(7): 1526-1530, 2020 Apr.
Article
in Chinese
| MEDLINE | ID: covidwho-324709
ABSTRACT
The analysis and utilization of clinical scientific research data is an effective means to promote the progress of diagnosis and treatment, and a key step in the development of medical sciences. During the epidemic of coronavirus disease 2019(COVID-19), how to transform the limited diagnostic data into clinical research resources has attracted much attention. Based on the low efficiency of data collection and extraction, the inconsistency of data analysis, the irregularity of data report and the high timeliness of data update during the epidemic, this paper briefly analyzed the background and reasons of data application under the current situation, and then discusses the problems and feasible solutions of clinical data applications under the epidemic situation and, more importantly, for future medical clinical research methods. We put forward several methodological suggestions â gradually improve the medical big data model and establish the national medical health data center; â¡ improve the scientific research literacy of medical staff and popularize the basic skills and knowledge of GCP; ⢠promote a scientific, networked and shared data collection and management mode; ⣠use the mixed research method and collective analysis to improve the efficiency of clinical data analysis; ⤠pay attention to narration of the medical feelings and emphasize the humanistic data of clinical medicine. It is expected to promote the standardized and reasonable use of clinical scientific research data, the rigorous integration of expert opinions, and ultimately the development of big data for national health care.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Pandemics
/
Betacoronavirus
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Zhongguo Zhong Yao Za Zhi
Journal subject:
Pharmacology
/
Complementary Therapies
Year:
2020
Document Type:
Article
Affiliation country:
J.cnki.cjcmm.20200302.504
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