A novel approach to prioritizing health technology investments using integrated ai-based ranking model

Basit Öğe Kaydı
dc.contributor.authorGökalp, Yaşar
dc.contributor.authorEti, Serkan
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.date.accessioned2026-01-12T09:23:08Z
dc.date.available2026-01-12T09:23:08Z
dc.date.issued2025
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Bilgisayar Programcılığı Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümü
dc.description.abstractPurpose – Health technologies are an issue that directly affectsthe sustainability and quality of health services. Due to budget constraints, it is not financially possible for businesses to apply comprehensive improvement strategies to all these criteria. In this case, it is possible for businesses to implement more priority strategies. Accordingly, the main purpose of this study is to evaluate the important performance indicators of health technology investments. Design/methodology/approach – Firstly, with the help of the artificial intelligence system, a decision matrix is established. Secondly, spherical fuzzy total order of preference decision-making trial and evaluation laboratory methodology istaken into consideration for weighting the criteria. Thirdly, emerging seven countries are ranked by using spherical fuzzy MultiAtributive Ideal-Real Comparative Analysis (MAIRCA). Findings – The findings demonstrate that the criteria of health policies and research and development are defined as the most significant factor in this regard. China and Turkey are also found to be the most successful emerging countries with respect to the performance of health technology investments. Originality/value – The main contribution of this study is that a novel decision-making model is generated by integrating artificial methodology into the spherical fuzzy sets.
dc.identifier.citationGökalp, Y., Eti, S., Dinçer, H. ve Yüksel, S. (2025). A novel approach to prioritizing health technology investments using integrated ai-based ranking model. Journal of Health Organization and Management, 39(6), 819-841. http://dx.doi.org/10.1108/JHOM-05-2024-0190
dc.identifier.doi10.1108/JHOM-05-2024-0190
dc.identifier.endpage841
dc.identifier.issn1477-7266
dc.identifier.issn1758-7247
dc.identifier.issue6
dc.identifier.pmid39789721
dc.identifier.scopus2-s2.0-85214383584
dc.identifier.scopusqualityQ2
dc.identifier.startpage819
dc.identifier.urihttp://dx.doi.org/10.1108/JHOM-05-2024-0190
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13368
dc.identifier.volume39
dc.identifier.wosWOS:001392943400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorGökalp, Yaşar
dc.institutionauthorEti, Serkan
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorid0000-0002-3390-4597
dc.institutionauthorid0000-0002-4791-4091
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-9858-1266
dc.language.isoen
dc.relation.ispartofJournal of Health Organization and Management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectDecision Making
dc.subjectHealth Investments
dc.subjectHealth Technologies
dc.subjectStrategy Development
dc.subjectSustainability
dc.titleA novel approach to prioritizing health technology investments using integrated ai-based ranking model
dc.typeArticle

Dosyalar

Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Makale Koleksiyonu
Makale Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu