阿拉伯的医疗保健行业如何利用数据科学实现可持续的医疗保健实践

Chisis Mohammed Faiyaad, Abayomi Bin Hakim Sadiki
{"title":"阿拉伯的医疗保健行业如何利用数据科学实现可持续的医疗保健实践","authors":"Chisis Mohammed Faiyaad, Abayomi Bin Hakim Sadiki","doi":"10.14311/bit.2022.01.22","DOIUrl":null,"url":null,"abstract":"To date, the healthcare business hasn't fully understood the prospective bene?ts to be acquired from big data analytics. Although the continuously growing body of academic investigation on large data analytics is mainly technology-oriented, a clear understanding of the strategic implications of big data is urgently needed. To handle the absence, this particular analysis examines the historical development, architectural style, and portion functionalities of big data analytics. From content evaluation of twenty six BDA implementation instances in healthcare, we could determine five big data analytics capabilities: analytical capability for patterns of attention, unstructured details, analytical capability, choice support capability, predictive capability, then traceability. We additionally mapped the benefits driven by big data analytics in terminology of info technology infrastructure, organizational, operational, strategic and managerial locations. Additionally, we recommend five approaches for healthcare organizations contemplating adopting big data analytics solutions. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them in drafting more effective data-driven analytics strategies.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How healthcare industry in Arabs can use data science for sustainable healthcare practices\",\"authors\":\"Chisis Mohammed Faiyaad, Abayomi Bin Hakim Sadiki\",\"doi\":\"10.14311/bit.2022.01.22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To date, the healthcare business hasn't fully understood the prospective bene?ts to be acquired from big data analytics. Although the continuously growing body of academic investigation on large data analytics is mainly technology-oriented, a clear understanding of the strategic implications of big data is urgently needed. To handle the absence, this particular analysis examines the historical development, architectural style, and portion functionalities of big data analytics. From content evaluation of twenty six BDA implementation instances in healthcare, we could determine five big data analytics capabilities: analytical capability for patterns of attention, unstructured details, analytical capability, choice support capability, predictive capability, then traceability. We additionally mapped the benefits driven by big data analytics in terminology of info technology infrastructure, organizational, operational, strategic and managerial locations. Additionally, we recommend five approaches for healthcare organizations contemplating adopting big data analytics solutions. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them in drafting more effective data-driven analytics strategies.\",\"PeriodicalId\":150829,\"journal\":{\"name\":\"Business & IT\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business & IT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14311/bit.2022.01.22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business & IT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14311/bit.2022.01.22","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

到目前为止,医疗保健行业还没有完全理解潜在的好处。从大数据分析中获得的。尽管不断增长的大数据分析学术研究主要以技术为导向,但迫切需要对大数据的战略含义有一个清晰的认识。为了解决这一问题,本文分析了大数据分析的历史发展、架构风格和部分功能。通过对医疗保健领域26个BDA实施实例的内容评估,我们可以确定五种大数据分析能力:关注模式的分析能力、非结构化细节、分析能力、选择支持能力、预测能力,然后是可追溯性。我们还从信息技术基础设施、组织、运营、战略和管理位置等方面描绘了大数据分析带来的好处。此外,我们为考虑采用大数据分析解决方案的医疗保健组织推荐了五种方法。我们的研究结果将帮助医疗保健组织了解大数据分析功能和潜在的好处,并支持他们起草更有效的数据驱动分析策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How healthcare industry in Arabs can use data science for sustainable healthcare practices
To date, the healthcare business hasn't fully understood the prospective bene?ts to be acquired from big data analytics. Although the continuously growing body of academic investigation on large data analytics is mainly technology-oriented, a clear understanding of the strategic implications of big data is urgently needed. To handle the absence, this particular analysis examines the historical development, architectural style, and portion functionalities of big data analytics. From content evaluation of twenty six BDA implementation instances in healthcare, we could determine five big data analytics capabilities: analytical capability for patterns of attention, unstructured details, analytical capability, choice support capability, predictive capability, then traceability. We additionally mapped the benefits driven by big data analytics in terminology of info technology infrastructure, organizational, operational, strategic and managerial locations. Additionally, we recommend five approaches for healthcare organizations contemplating adopting big data analytics solutions. Our findings will help healthcare organizations understand the big data analytics capabilities and potential benefits and support them in drafting more effective data-driven analytics strategies.
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:604180095
Book学术官方微信