prikaz prve stranice dokumenta Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries
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Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries
Biotechnology & Biotechnological Equipment, 38 (2024), 1; 2371354. https://doi.org/10.1080/13102818.2024.2371354
Tachkov, Konstantin; Somolinos-Simón, Francisco; Tapia-Galisteo, Jose; Hernando, Maria Elena; García-Sáez, Gema; Dimitrova, Maria; Kamusheva, Maria; Mitkova, Zornitsa; Petyko, Zsuzsanna; Nemeth, Bertalan; Kalo, Zoltan; Tesar, Tomas; Paveliu, Marian-Sorin; Piniazhko, Oresta; Lipska, Iga; Turcu-Stiolica, Adina; Savova, Alexandra; Manova, Manoela; Hren, Rok; Došenović Bonča, Petra; Knies, Saskia; Stanak, Michal; Doležal, Tomáš; Vitezić, Dinko; Petrova, Guenka Više autora...

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Tachkov, K., Somolinos Simón, F., Tapia Galisteo, J., Hernando, M. E., García Sáez, G., Dimitrova, M. ... Petrova, G. (2024). Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries. Biotechnology & Biotechnological Equipment, 38. (1). doi: 10.1080/13102818.2024.2371354

Tachkov, Konstantin, et al. "Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries." Biotechnology & Biotechnological Equipment, vol. 38, br. 1, 2024. https://doi.org/10.1080/13102818.2024.2371354

Tachkov, Konstantin, Francisco Somolinos Simón, Jose Tapia Galisteo, Maria Elena Hernando, Gema García Sáez, Maria Dimitrova, Maria Kamusheva, et al. "Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries." Biotechnology & Biotechnological Equipment 38, br. 1 (2024). https://doi.org/10.1080/13102818.2024.2371354

Tachkov, K., et al. (2024) 'Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries', Biotechnology & Biotechnological Equipment, 38(1). doi: 10.1080/13102818.2024.2371354

Tachkov K, Somolinos Simón F, Tapia Galisteo J, Hernando ME, García Sáez G, Dimitrova M, i sur.. Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries. Biotechnology & Biotechnological Equipment [Internet]. 25.06.2024. [pristupljeno 15.01.2025.];38(1). doi: 10.1080/13102818.2024.2371354

K. Tachkov, et al., "Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries", Biotechnology & Biotechnological Equipment, vol. 38, br. 1, Lipanj 2024. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:749876. [Citirano: 15.01.2025.]

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Podaci o radu
Naslov (engleski)Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries
AutorKonstantin Tachkov
AutorFrancisco Somolinos-Simón
AutorJose Tapia-Galisteo
AutorMaria Elena Hernando
AutorGema García-Sáez
AutorMaria Dimitrova
AutorMaria Kamusheva
AutorZornitsa Mitkova
AutorZsuzsanna Petyko
AutorBertalan Nemeth
AutorZoltan Kalo
AutorTomas Tesar
AutorMarian-Sorin Paveliu
AutorOresta Piniazhko
AutorIga Lipska
AutorAdina Turcu-Stiolica
AutorAlexandra Savova
AutorManoela Manova
AutorRok Hren
AutorPetra Došenović Bonča
AutorSaskia Knies
AutorMichal Stanak
AutorTomáš Doležal
AutorDinko Vitezić
AutorGuenka Petrova
Autorova ustanovaSveučilište u Rijeci
Medicinski fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Klinička farmakologija s toksikologijom
Sažetak (engleski)
This study aimed to investigate the transferability of novel artificial intelligence (AI) methods for prediction modelling of diabetes based on real-world data (RWD) between early and late adopters of emerging health technologies from the perspective of developers and health technology assessment (HTA) experts. A two-step approach was used. Developers of the new AI methods within HTx consortium completed a survey about the benefits, usability, barriers associated with implementing the new prediction models in routine HTA practices. Then, HTA experts from Central and Eastern European (CEE) countries participated in a focus group discussion. Developers generally expressed optimism regarding the transferability of the methods, while acknowledging potential disparities across CEE countries. Key benefits that were identified included enhanced understanding of diabetes, improved cost-effectiveness modelling, and refined patient stratification, all of which could contribute to clinical and reimbursement decisions across various jurisdictions. The focus group underscored the value of real-world data for diabetes prediction modelling, serving as a beneficial resource for both clinicians and HTA agencies. However, there was a recognized need to clarify the processes of integrating randomized clinical trial data with real-world data. For the other stakeholders, the advancement of the methodology will improve the diagnosis and therapy during the process of decision making. Experts from CEE countries recognized the potential of artificial intelligence-based methods employing real-world data for diabetes modelling. These methods are seen as instrumental in elucidating the heterogeneous nature of the disease, supporting clinician decision-making and holding promises for HTA purposes.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaBiotechnology & Biotechnological Equipment
Brojčani podacivol. 38, br. 1, 2371354
p-ISSN1310-2818
e-ISSN1314-3530
DOIhttps://doi.org/10.1080/13102818.2024.2371354
URN:NBNurn:nbn:hr:184:749876
Datum objave publikacije2024-06-25
URL dokumentahttps://www.tandfonline.com/doi/full/10.1080/13102818.2024.2371354
Vrsta resursaTekst
Prava pristupaOgraničen pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-12-24 07:46:47