Linshu County People's Hospital, Linyi, China
Due to the inefficiency of traditional statistical data quality management methods, the slow data collection results in the slower statistical data collection. Aiming at this problem, we study the hospital statistical data quality management methods based on the Internet of Things. This method is mainly based on the basic characteristics of the Internet of Things, and establishes a data collection process with RFID technology as the core; on the basis of the detection process, through the calculation of the operation link, the possible problems and loopholes in the calculation data are found; finally through the information collection Technology to further optimize the quality of the statistical data of the Internet of Things. In terms of experimental analysis, the traditional method and the method in this paper are measured for the efficiency of data collection, and the time required for the same collection of values is calculated, and the method designed in the article is more efficient and more suitable for the quality management of hospital statistical data.
Internet of Things; RFID technology; statistical data; quality management; collection; intelligence
Xu Lixiang. Research on the Quality Management of Hospital Statistical Data Based on the Internet of Things. International Journal of Frontiers in Medicine (2021), Vol. 3, Issue 3: 1-4. https://doi.org/10.25236/IJFM.2021.030301.
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