{"title":"Review of Prediction Analytics Studies on Readmission for the Chronic Conditions of CHF and COPD: Utilizing the PRISMA Method","authors":"O. Ben‐Assuli","doi":"10.1080/10580530.2021.1928341","DOIUrl":null,"url":null,"abstract":"ABSTRACT Hospital readmission for chronic illness is a ubiquitous phenomenon that is a major contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify studies dealing with predicting readmissions for CHF and COPD patients that implemented machine learning techniques. The PRISMA output yielded 21 articles that met the inclusion criteria. It is recommended to include previous visit data, and track the same patients over multiple visits when predicting these readmissions.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"250 - 266"},"PeriodicalIF":3.0000,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2021.1928341","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Management","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10580530.2021.1928341","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 3
Abstract
ABSTRACT Hospital readmission for chronic illness is a ubiquitous phenomenon that is a major contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify studies dealing with predicting readmissions for CHF and COPD patients that implemented machine learning techniques. The PRISMA output yielded 21 articles that met the inclusion criteria. It is recommended to include previous visit data, and track the same patients over multiple visits when predicting these readmissions.
期刊介绍：
Information Systems Management (ISM) is the on-going exchange of academic research, best practices, and insights based on managerial experience. The journal’s goal is to advance the practice of information systems management through this exchange.
To meet this goal, ISM features themed papers examining a particular topic. In addition to themed papers, the journal regularly publishes on the following topics in IS management.
Achieving Strategic IT Alignment and Capabilities
IT Governance
CIO and IT Leadership Roles
IT Sourcing
Planning and Managing an Enterprise Infrastructure
IT Security
Selecting and Delivering Application Solutions
Portfolio Management
Managing Complex IT Projects
E-Business Technologies
Supporting Knowledge Work
The target readership includes both academics and practitioners. Hence, submissions integrating research and practice, and providing implications for both, are encouraged.
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