Incorporating Artificial Intelligence into Healthcare Workflows: Models and Insights

工作流程 医疗保健 报销 医疗保健服务 计算机科学 知识管理 数据科学 人工智能 政治学 数据库 法学
作者
Tinglong Dai,Michael D. Abràmoff
标识
DOI:10.1287/educ.2023.0257
摘要

AboutSectionsRequest Access ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked InEmail Go to Section HomeINFORMS TutORials in Operations ResearchTutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications Incorporating Artificial Intelligence into Healthcare Workflows: Models and InsightsTinglong Dai, Michael D. AbràmoffTinglong Dai, Michael D. AbràmoffPublished Online:13 Oct 2023https://doi.org/10.1287/educ.2023.0257AbstractArtificial intelligence (AI) is poised to revolutionize healthcare delivery in the United States and around the world. As AI becomes an integral part of the healthcare workflow, it will change the way we model and analyze healthcare delivery and upend the paradigm that has dictated how operations research and management science researchers interact with healthcare practitioners. In this tutorial, we demonstrate how the integration of AI into the healthcare workflow will radically transform healthcare delivery and, at the same time, require a new set of models to guide rapidly changing healthcare practices, measure productivity gains in the industry, and reduce disparities in access to care. These models should be built on a thorough understanding of the factors that influence various stakeholders, such as patients, providers, payers, bioethicists, regulatory bodies, and investors. Although healthcare AI promises to learn and adapt based on user interactions and data, the development, validation, and approval processes require the creation of new models that generate useful insights. Finally, we discuss barriers and opportunities related to regulatory and reimbursement issues for AI in healthcare.Funding: T. Dai acknowledges financial support he received through the Johns Hopkins Discovery Award (2022–2024) and the Hopkins Business of Health Initiative (HBHI) Pilot [Grant 2022-2023]. M. D. Abramoff was funded by Research to Prevent Blindness, based in New York; the National Eye Institute under [Grant R01EY033233]; and the Robert C. Watzke, MD, Professorship. Your Access Options Login Options INFORMS Member Login Nonmember Login Purchase Options Save for later Item saved, go to cart Tutorials in OR, TutorialsNew $20.00 Add to cart Tutorials in OR, TutorialsNew Checkout Other Options Token Access Insert token number Claim access using a token Restore guest access Applies for purchases made as a guest Previous Back to Top Next FiguresReferencesRelatedInformation Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to ApplicationsOctober 2023 Article Information Metrics Information Published Online:October 13, 2023 Copyright © 2023, INFORMSCite asTinglong Dai, Michael D. Abràmoff (2023) Incorporating Artificial Intelligence into Healthcare Workflows: Models and Insights. INFORMS TutORials in Operations Research null(null):133-155. https://doi.org/10.1287/educ.2023.0257 Keywordsartificial intelligencehealthcare workflowproductivityaccess to carePDF download
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