Total Quality Science
Online ISSN : 2189-3195
ISSN-L : 2189-3195
Verification of an Individual Training System in Blood Collection through Data Acquisition and Analysis
Ryoko ShimonoRie Akinaga
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2022 年 7 巻 2 号 p. 82-88

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To assure quality of healthcare, it is important to develop the competence of healthcare professionals. As information technology introduction to clinical sites, the data acquisition in healthcare operation can be contributed to effective training. At present, however, the methods for analyzing on-site data for effective training healthcare professional have not been organized. Our study aimed to analyze the effectiveness of this developed system for an individual training. This system was implemented on-site in an actual hospital, through three steps of training: 1) selecting target staff, 2) training target staff and 3) assessing training results. Participants comprised 10 staff members (four members in the treatment and control groups, respectively). Data was analyzed through statistical methods using two indicators: the rate of retaking the blood sample and time taken for blood collection. The results of an effectiveness analysis by analyzing track records, showed a trend of improvement in the retaking rate and the time, but did not show statistical significance through ANOVA and t test for the change in each indicator. In the analysis of the decrease of the most frequent items in retaking situation, there was statistical significance through ANOVA. It showed the plural methods and indicators for verify the effectiveness of individual training.

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