O. Ben‐Assuli, Tsipi Heart, J. Vest, Roni Ramon-Gonen, N. Shlomo, R. Klempfner
{"title":"Profiling Readmissions Using Hidden Markov Model - the Case of Congestive Heart Failure","authors":"O. Ben‐Assuli, Tsipi Heart, J. Vest, Roni Ramon-Gonen, N. Shlomo, R. Klempfner","doi":"10.1080/10580530.2020.1847362","DOIUrl":null,"url":null,"abstract":"ABSTRACT Reducing costly hospital readmissions of patients with Congestive Heart Failure (CHF) is important. We analyzed 4,661 CHF patients (from 2007 to 2017) using Hidden Markov Models in order to profile CHF readmission risk over time. This method proved practical in identifying three patient groups with distinctive characteristics, which might guide physicians in tailoring personalized care to prevent hospital readmission. We thus demonstrate how applying appropriate AI analytics can save costs and improve the quality of care.","PeriodicalId":56289,"journal":{"name":"Information Systems Management","volume":"38 1","pages":"237 - 249"},"PeriodicalIF":3.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10580530.2020.1847362","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems Management","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10580530.2020.1847362","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: 5
Abstract
ABSTRACT Reducing costly hospital readmissions of patients with Congestive Heart Failure (CHF) is important. We analyzed 4,661 CHF patients (from 2007 to 2017) using Hidden Markov Models in order to profile CHF readmission risk over time. This method proved practical in identifying three patient groups with distinctive characteristics, which might guide physicians in tailoring personalized care to prevent hospital readmission. We thus demonstrate how applying appropriate AI analytics can save costs and improve the quality of care.
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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