基于数据管理方法的诊断点护理测试

F. Asadi, H. Moghaddasi, M. Anvari, R. Rabiei
{"title":"基于数据管理方法的诊断点护理测试","authors":"F. Asadi, H. Moghaddasi, M. Anvari, R. Rabiei","doi":"10.30699/FHI.V10I1.322","DOIUrl":null,"url":null,"abstract":"Introduction: Diagnostic point- of- care (POC) tests are considered as an approach to ease the diagnosis of diseases, deliver quicker patient care, and improve patient safety. The aim of this study was to review the diagnostic POC tests with an approach to data management.Material and Methods: In this review study, PubMed, Science Direct, Google Scholar, Scopus, and Wolters Kluwer databases were searched from 2000 to 2020 using a combination of related keywords. A total of 96 articles were retrieved of which 48 articles considered as relevant.  The content of these articles were then analyzed with respect to the aim of the study. The inclusion criteria for the articles were: 1) they focused the POC test; 2) addressed data management aspects; 3) written in English.  Articles that only addressed the POC tests from a clinical or technical perspective and with no indication of data management were excluded.Results: Rapid and timely collection and processing of test results, the capability of exchanging test results, and capabilities such as documentation and data quality control play a significant role in reducing the average length of stay in hospital, planning, decision-making, organizing, controlling clinical and managerial activities, and achieving the efficiency of services provided.Conclusion: In addition to applying diagnostic POC tests technologies, medical settings should have necessary approaches for managing data generated by these technologies to improve better use of data in service delivery.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"133 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnostic Point-of-Care Tests with an Approach to Data Management\",\"authors\":\"F. Asadi, H. Moghaddasi, M. Anvari, R. Rabiei\",\"doi\":\"10.30699/FHI.V10I1.322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: Diagnostic point- of- care (POC) tests are considered as an approach to ease the diagnosis of diseases, deliver quicker patient care, and improve patient safety. The aim of this study was to review the diagnostic POC tests with an approach to data management.Material and Methods: In this review study, PubMed, Science Direct, Google Scholar, Scopus, and Wolters Kluwer databases were searched from 2000 to 2020 using a combination of related keywords. A total of 96 articles were retrieved of which 48 articles considered as relevant.  The content of these articles were then analyzed with respect to the aim of the study. The inclusion criteria for the articles were: 1) they focused the POC test; 2) addressed data management aspects; 3) written in English.  Articles that only addressed the POC tests from a clinical or technical perspective and with no indication of data management were excluded.Results: Rapid and timely collection and processing of test results, the capability of exchanging test results, and capabilities such as documentation and data quality control play a significant role in reducing the average length of stay in hospital, planning, decision-making, organizing, controlling clinical and managerial activities, and achieving the efficiency of services provided.Conclusion: In addition to applying diagnostic POC tests technologies, medical settings should have necessary approaches for managing data generated by these technologies to improve better use of data in service delivery.\",\"PeriodicalId\":154611,\"journal\":{\"name\":\"Frontiers in Health Informatics\",\"volume\":\"133 8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Health Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30699/FHI.V10I1.322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30699/FHI.V10I1.322","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

简介:诊断点护理(POC)测试被认为是一种方法,以减轻疾病的诊断,提供更快的病人护理,并提高病人的安全。本研究的目的是回顾诊断性POC测试的数据管理方法。材料和方法:在本综述研究中,使用相关关键词组合检索了PubMed、Science Direct、Google Scholar、Scopus和Wolters Kluwer数据库,检索时间为2000年至2020年。共检索到96篇文章,其中48篇被认为是相关的。这些文章的内容,然后分析相对于研究的目的。文章的纳入标准为:1)关注POC测试;2)处理数据管理方面的问题;3)用英语书写。仅从临床或技术角度讨论POC测试且未说明数据管理的文章被排除在外。结果:快速、及时地收集和处理检测结果,交换检测结果的能力,以及文件和数据质量控制等能力,在缩短平均住院时间,规划、决策、组织、控制临床和管理活动,实现所提供服务的效率方面发挥了重要作用。结论:除了应用诊断性POC测试技术外,医疗机构还应该有必要的方法来管理这些技术产生的数据,以便在提供服务时更好地利用数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Diagnostic Point-of-Care Tests with an Approach to Data Management
Introduction: Diagnostic point- of- care (POC) tests are considered as an approach to ease the diagnosis of diseases, deliver quicker patient care, and improve patient safety. The aim of this study was to review the diagnostic POC tests with an approach to data management.Material and Methods: In this review study, PubMed, Science Direct, Google Scholar, Scopus, and Wolters Kluwer databases were searched from 2000 to 2020 using a combination of related keywords. A total of 96 articles were retrieved of which 48 articles considered as relevant.  The content of these articles were then analyzed with respect to the aim of the study. The inclusion criteria for the articles were: 1) they focused the POC test; 2) addressed data management aspects; 3) written in English.  Articles that only addressed the POC tests from a clinical or technical perspective and with no indication of data management were excluded.Results: Rapid and timely collection and processing of test results, the capability of exchanging test results, and capabilities such as documentation and data quality control play a significant role in reducing the average length of stay in hospital, planning, decision-making, organizing, controlling clinical and managerial activities, and achieving the efficiency of services provided.Conclusion: In addition to applying diagnostic POC tests technologies, medical settings should have necessary approaches for managing data generated by these technologies to improve better use of data in service delivery.
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
CiteScore
1.20
自引率
0.00%
发文量
0
期刊最新文献
Self-Care Application for Rheumatoid Arthritis: Identifying Key Data Elements Effective use of electronic health records system for healthcare delivery in Ghana Predictive Modeling of COVID-19 Hospitalization Using Twenty Machine Learning Classification Algorithms on Cohort Data Development and Usability Evaluation of a Web-Based Health Information Technology Dashboard of Quality and Economic Indicators Potentially Highly Effective Drugs for COVID-19: Virtual Screening and Molecular Docking Study Through PyRx-Vina Approach
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1