ArticleBMC medical informatics and decision making2022
Using information technology to optimize the identification process for outpatients having blood drawn and improve patient satisfaction.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Enhancing neurosurgical navigation operation flow management through personal digital assistant technology: a prospective cohort study.Frontiers in public health · 2024Article
- Comprehensive improvements in the emergency laboratory test process based on information technology.BMC medical informatics and decision making · 2023Article
- The Effect of Mobile Payment on Payment Waiting Time for Outpatients With Medical Insurance: Historically Controlled Study.JMIR formative research · 2023Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundThis study explored the application effect of information technology in optimizing the patient identification process.
methodsThe 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.
resultsThe correct rate of patient identification after optimization (99.80%) was higher than before optimization (98.02%) (X
conclusionsBy combining information technology with the characteristics of blood collection in our hospital, using the call system to obtain patient information, then scan the QR code of the guide sheet for automatic verification, and finally manually reconfirm patient information, which can significantly reduce the occurrence of identification errors, improve work efficiency and improve patients' satisfaction.
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