The Dynamic Integration of AI - Driven Telemedicine with In-Office Specialty Care

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dc.contributor.authorBaron, Opher
dc.contributor.authorChen, Fanying
dc.contributor.authorSeidmann, Abraham
dc.date.accessioned2023-12-26T18:49:36Z
dc.date.available2023-12-26T18:49:36Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.757
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other3e146c32-3c6d-4496-92f8-ac66f0bb3116
dc.identifier.urihttps://hdl.handle.net/10125/107143
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Transformations of Business Operations
dc.subjectit systems solution
dc.subjectmedical ai
dc.subjecttelemedicine
dc.titleThe Dynamic Integration of AI - Driven Telemedicine with In-Office Specialty Care
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractNation-wide physician shortages and the rise of virtual access to healthcare have driven many organizations to seek innovative ways to integrate digital and automated care programs to serve their members better. We work closely with a large HMO and investigate the option of incorporating an independent third-party service that provides select patients rapid access to virtual Dermatological AI Systems. In this paper, we analyze the impact of this innovative hybrid service system on the waiting times for highly-demanded specialty medical care: here, the automated appointment scheduling system dynamically activates the virtual care only when the in-person service lines get overloaded beyond a predetermined threshold. Using extensive appointment field data, we show that our proposed hybrid service delivery policy significantly improves service quality - even when the virtual care channel serves only a tiny proportion of all patients.
dcterms.extent7 pages
prism.startingpage6320

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