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10.19540/j.cnki.cjcmm.20200302.504

http://scihub22266oqcxt.onion/10.19540/j.cnki.cjcmm.20200302.504
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32489030!ä!32489030

suck abstract from ncbi


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pmid32489030      Zhongguo+Zhong+Yao+Za+Zhi 2020 ; 45 (7): 1526-1530
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  • Thoughts and suggestions on arrangement, analysis and summary of medical data during COVID-19 epidemic #MMPMID32489030
  • Yan YM; Li B; Li ZY; Lian B; Su XF; Wang TY; Li P; Wang Q; Cheng JL; Yang ZQ
  • Zhongguo Zhong Yao Za Zhi 2020[Apr]; 45 (7): 1526-1530 PMID32489030show ga
  • 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: 1 in circle gradually improve the medical big data model and establish the national medical health data center; 2 in circle improve the scientific research literacy of medical staff and popularize the basic skills and knowledge of GCP; 3 in circle promote a scientific, networked and shared data collection and management mode; 4 in circle 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.
  • |*Betacoronavirus[MESH]
  • |*Coronavirus Infections/epidemiology[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/epidemiology[MESH]
  • |COVID-19[MESH]
  • |Humans[MESH]


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