Discussion on the Quality Control of Health Record Datasets in Intelligent Rapid Deployable Hospital
WANG Hao1，ZHOU Juan2，ZENG Xue1，MENG Xiangfeng1，ZHANG Chao1，LI Jiage1
1. Institute for Medical Devices Control, National Institutes for Food and Drug Control, Beijing 102629, China丨
2. Department of Medical Metrology, Chinese PLA General Hospital, Beijing 100853, China
Abstract：Objective To study the strategy for the quality control of health record datasets with the aim of promoting specific standard
specifications for artificial intelligence medical devices in this field. Methods The particularity of such datasets was analyzed and
the key points of quality control were analyzed according to technical features and development scenarios of health record datasets.
Different methods were used to carry out sampling inspection experiments on specific data modes to compare and evaluate the
consumption of resources. Results Comparison with the production acceptance sampling method, the sampling method of quality
supervision required lower sample size, which was more feasibility in practice. Conclusion The ideas and methods studied in thispaper are helpful to promote the quality control of health record datasets, and accelerate the development of corresponding datasets
for special scenarios such as intelligent rapid deployable hospital.
王浩1，周娟2，曾雪1，孟祥峰1，张超1，李佳戈1. 浅谈智能化快速部署医院健康档案数据集质量控制[J]. 中国医疗设备, 2021, 36(9): 11-14.
WANG Hao1，ZHOU Juan2，ZENG Xue1，MENG Xiangfeng1，ZHANG Chao1，LI Jiage1. Discussion on the Quality Control of Health Record Datasets in Intelligent Rapid Deployable Hospital. China Medical Devices, 2021, 36(9): 11-14.
