Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan

Pei Hung Liao, Pei Ti Hsu, William Chu, Woei Chyn Chu*

*此作品的通信作者

研究成果: Article同行評審

27 引文 斯高帕斯(Scopus)

摘要

This study applied artificial intelligence to help nurses address problems and receive instructions through information technology. Nurses make diagnoses according to professional knowledge, clinical experience, and even instinct. Without comprehensive knowledge and thinking, diagnostic accuracy can be compromised and decisions may be delayed. We used a back-propagation neural network and other tools for data mining and statistical analysis. We further compared the prediction accuracy of the previous methods with an adaptive-network-based fuzzy inference system and the back-propagation neural network, identifying differences in the questions and in nurse satisfaction levels before and after using the nursing information system. This study investigated the use of artificial intelligence to generate nursing diagnoses. The percentage of agreement between diagnoses suggested by the information system and those made by nurses was as much as 87 percent. When patients are hospitalized, we can calculate the probability of various nursing diagnoses based on certain characteristics.

原文English
頁(從 - 到)137-148
頁數12
期刊Health Informatics Journal
21
發行號2
DOIs
出版狀態Published - 6 6月 2015

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