Abstract:This paper analyzed the data of telemedicine, and some issues related to data quality were
found, such as the lack of data, repetitive data, inconsistent data format and so on. Then these issues were
classified. In view of each category of issues, we attempted to find solutions by inductive calculation,
clustering, regression function or the fuzzy dynamic matching techniques, which improved the data quality
and ensured the effective implementation and application of telemedicine.
姚远a,尚国伟b,费晓璐a. 远程医疗信息系统中数据质量控制的研究[J]. 中国医疗设备, 2017, 32(7): 126-129.
YAO Yuana, SHANG Guo-weib,FEI Xiao-lua. Research on Data Quality Control in Telemedicine Information System. China Medical Devices, 2017, 32(7): 126-129.