{"title":"Healthcare Data Analytics using Power BI","authors":"","doi":"10.4018/ijsi.293267","DOIUrl":null,"url":null,"abstract":"Innovations in computer technologies have revolutionized attention in recent years. Data analytics has emerged as a promising tool for determination problems in various health care connected disciplines. The effective utilization of knowledge mining in deeply noticeable fields like e-business, promoting and retail has prompted application in completely different businesses and divisions. Among these components merely finding is the medical services. Medical services organizations can reduce down on medical services expense and furnish better consideration with the help of predictive analysis. Enormous information likewise helps in diminishing medicine mistakes by improving budgetary and regulatory execution, and decrease readmission. The paper aims at systematic collection of patient-related healthcare data ,analyse through Microsoft Power BI after some transformations of data and determine major disciplines to improve the patient engagement, health system management, diagnosis and cost reduction.","PeriodicalId":55938,"journal":{"name":"International Journal of Software Innovation","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Software Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijsi.293267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 2
Abstract
Innovations in computer technologies have revolutionized attention in recent years. Data analytics has emerged as a promising tool for determination problems in various health care connected disciplines. The effective utilization of knowledge mining in deeply noticeable fields like e-business, promoting and retail has prompted application in completely different businesses and divisions. Among these components merely finding is the medical services. Medical services organizations can reduce down on medical services expense and furnish better consideration with the help of predictive analysis. Enormous information likewise helps in diminishing medicine mistakes by improving budgetary and regulatory execution, and decrease readmission. The paper aims at systematic collection of patient-related healthcare data ,analyse through Microsoft Power BI after some transformations of data and determine major disciplines to improve the patient engagement, health system management, diagnosis and cost reduction.
近年来，计算机技术的创新使人们的注意力发生了革命性的变化。数据分析已成为确定各种医疗保健相关学科中问题的一种很有前途的工具。知识挖掘在电子商务、促销和零售等引人注目的领域的有效利用，促使其在完全不同的业务和部门中得到应用。在这些组成部分中，仅仅发现了医疗服务。医疗服务机构可以通过预测分析来降低医疗服务费用，并提供更好的考虑。大量的信息同样有助于通过改善预算和监管执行来减少医疗失误，并减少再次入院。本文旨在系统收集与患者相关的医疗保健数据，在对数据进行一些转换后，通过Microsoft Power BI进行分析，并确定主要学科，以提高患者参与度、医疗系统管理、诊断和降低成本。
期刊介绍：
The International Journal of Software Innovation (IJSI) covers state-of-the-art research and development in all aspects of evolutionary and revolutionary ideas pertaining to software systems and their development. The journal publishes original papers on both theory and practice that reflect and accommodate the fast-changing nature of daily life. Topics of interest include not only application-independent software systems, but also application-specific software systems like healthcare, education, energy, and entertainment software systems, as well as techniques and methodologies for modeling, developing, validating, maintaining, and reengineering software systems and their environments.
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