| Autor: |
Li-Feng Wu, Guo-Hua Zhuang, Qi-Lei Hu, Liang Zhang, Zhang-Mei Luo, Yin-Jiang Lv, Jian Tang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-6 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1472-6947 |
| DOI: |
10.1186/s12911-022-01799-5 |
| Popis: |
Abstract Background This study explored the application effect of information technology in optimizing the patient identification process. Methods The method for optimizing the identification process involved in drawing blood among outpatients using information technology was executed from July 2020. In this paper, 959 patients who had blood drawn from January to June 2020 were included as the pre-optimization group, and 1011 patients who had blood drawn from July to December 2019 were included as the post-optimization group. The correct rate of patient identification, waiting time, and patient satisfaction before and after the optimization were statistically analyzed. The changes in these three indexes before and after the optimization implementation, as well as the application effects, were compared. Results The correct rate of patient identification after optimization (99.80%) was higher than before optimization (98.02%) (X2 = 13.120; P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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