使用决策树评估患者安全驱动因素

Bakhita Alderei, Ragheb Nammari, M. A. Alalami, C. Rodrigues, Abroon Qazi, Mecit Can Emre Simsekler
{"title":"使用决策树评估患者安全驱动因素","authors":"Bakhita Alderei, Ragheb Nammari, M. A. Alalami, C. Rodrigues, Abroon Qazi, Mecit Can Emre Simsekler","doi":"10.1109/ASET53988.2022.9735129","DOIUrl":null,"url":null,"abstract":"This study aims to identify the drivers of patient safety challenges in healthcare. Hospital-level aggregate survey data from the UK hospital is used to identify what drives the number of reported incidents affecting patient safety. Leveraging a decision tree algorithm, our results suggest that the role of teamwork and safety culture in incident reporting and investigation are the most critical dimensions influencing the number of reported patient safety challenges. The decision tree algorithm can be useful for hospitals to enhance patient safety through data-driven approaches and direct resources towards service improvements.","PeriodicalId":6832,"journal":{"name":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"46 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating Patient Safety Drivers using Decision Trees\",\"authors\":\"Bakhita Alderei, Ragheb Nammari, M. A. Alalami, C. Rodrigues, Abroon Qazi, Mecit Can Emre Simsekler\",\"doi\":\"10.1109/ASET53988.2022.9735129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to identify the drivers of patient safety challenges in healthcare. Hospital-level aggregate survey data from the UK hospital is used to identify what drives the number of reported incidents affecting patient safety. Leveraging a decision tree algorithm, our results suggest that the role of teamwork and safety culture in incident reporting and investigation are the most critical dimensions influencing the number of reported patient safety challenges. The decision tree algorithm can be useful for hospitals to enhance patient safety through data-driven approaches and direct resources towards service improvements.\",\"PeriodicalId\":6832,\"journal\":{\"name\":\"2022 Advances in Science and Engineering Technology International Conferences (ASET)\",\"volume\":\"46 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Advances in Science and Engineering Technology International Conferences (ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASET53988.2022.9735129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Advances in Science and Engineering Technology International Conferences (ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASET53988.2022.9735129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在确定医疗保健中患者安全挑战的驱动因素。来自英国医院的医院级汇总调查数据用于确定影响患者安全的报告事件数量的驱动因素。利用决策树算法,我们的研究结果表明,团队合作和安全文化在事件报告和调查中的作用是影响报告的患者安全挑战数量的最关键维度。决策树算法可以帮助医院通过数据驱动的方法提高患者安全,并将资源用于改善服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Patient Safety Drivers using Decision Trees
This study aims to identify the drivers of patient safety challenges in healthcare. Hospital-level aggregate survey data from the UK hospital is used to identify what drives the number of reported incidents affecting patient safety. Leveraging a decision tree algorithm, our results suggest that the role of teamwork and safety culture in incident reporting and investigation are the most critical dimensions influencing the number of reported patient safety challenges. The decision tree algorithm can be useful for hospitals to enhance patient safety through data-driven approaches and direct resources towards service improvements.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信