{"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}
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.