Healthcare service accessibility path planner: Unveiling a new era of intelligent appointment management systems based on outpatient prioritizing

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dc.authorid0000-0003-2276-2658en_US
dc.authorid0000-0003-2415-9131en_US
dc.authorid0000-0002-2126-8757en_US
dc.authorscopusid6701417955en_US
dc.authorscopusid57212214663en_US
dc.authorwosidGMC-3454-2022en_US
dc.contributor.authorTokatlı, Nazlı
dc.contributor.authorKoçak, Muhammed Tayyip
dc.contributor.authorKırtay, Seda
dc.contributor.authorGöztepeli, Gürkan
dc.contributor.authorAktaş, İbrahim Serhat
dc.contributor.authorAltun, Halis
dc.date.accessioned2023-11-10T07:58:31Z
dc.date.available2023-11-10T07:58:31Z
dc.date.issued2023en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.description.abstractIn light of increased constraints on healthcare systems, particularly as a result of the pandemic, the importance of directing patients to the appropriate healthcare departments for individualized treatment based on their health conditions has been emphasized. Numerous healthcare institutions currently employ an online booking system that enables patients to schedule appointments. However, because patient requests are the main driving force behind this process, appointments with inappropriate departments or the bypassing of primary care facilities like general practice clinics frequently occur. Many studies proposed the use of AI-based chatbots and machine learning algorithms in healthcare systems to improve clinic operations, reduce patient wait times, and predict outpatient appointment no-show rates. This paper describes the conception and implementation steps of an innovative (mhealth app) that uses open AI tools to prioritize and classify outpatients based on their symptoms. Our AI-based appointment scheduling app will decide for the outpatient either to schedule appointments with primary care facilities or direct them to the appropriate healthcare department in hospitals only when absolutely necessary, thereby nurturing a more efficient, patient-centered healthcare service.en_US
dc.identifier.citationTokatlı, N., Koçak, M. T., Kırtay, S., Göztepeli, G., Aktaş, İ. S., & Altun, H. (2023, 11-13 October). Healthcare service accessibility path planner: Unveiling a new era of intelligent appointment management systems based on outpatient prioritizing. 2023 Innovations in Intelligent Systems and Applications Conference (ASYU), Sivas, Turkiye. https://doi.org/10.1109/ASYU58738.2023.10296568en_US
dc.identifier.doi10.1109/ASYU58738.2023.10296568en_US
dc.identifier.scopus2-s2.0-85178310165en_US
dc.identifier.urihttps://doi.org/10.1109/ASYU58738.2023.10296568
dc.identifier.urihttps://hdl.handle.net/20.500.13055/581
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTokatlı, Nazlı
dc.institutionauthorKoçak, Muhammed Tayyip
dc.institutionauthorKırtay, Seda
dc.institutionauthorGöztepeli, Gürkan
dc.institutionauthorAktaş, İbrahim Serhat
dc.institutionauthorAltun, Halis
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 Innovations in Intelligent Systems and Applications Conference (ASYU)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMhealth Applicationsen_US
dc.subjectDigital Transformationen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectClinical Managementen_US
dc.titleHealthcare service accessibility path planner: Unveiling a new era of intelligent appointment management systems based on outpatient prioritizingen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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