Analisi dei fattori determinanti l’adozione dell’Intelligenza Artificiale in sanità

Titolo Rivista MECOSAN
Autori/Curatori Francesco De Domenico, Guido Noto, Carlo Vermiglio
Anno di pubblicazione 2024 Fascicolo 2023/128
Lingua Italiano Numero pagine 26 P. 135-160 Dimensione file 0 KB
DOI 10.3280/mesa2023-128oa18595
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FrancoAngeli è membro della Publishers International Linking Association, Inc (PILA)associazione indipendente e non profit per facilitare (attraverso i servizi tecnologici implementati da CrossRef.org) l’accesso degli studiosi ai contenuti digitali nelle pubblicazioni professionali e scientifiche

Lo studio si concentra sull’adozione di strumenti di intelligenza artificiale (IA) nelle aziende sanitarie e analizza le determinanti dell’adozione da parte dei professionisti sanitari. Sebbene l’adozione di nuove tecnologie, e in particolare di tecnologie emergenti come l’IA, possa offrire soluzioni innovative per migliorare la salute dei pazienti e l’efficienza delle aziende sanitarie, la loro adozione può essere ostacolata dall’emergere di possibili resistenze organizzative, individuali e professionali. Sulla base del TOE framework e mediante l’utilizzo di NVivo sono state condotte e analizzate alcune interviste semi-strutturate con farmacisti ospedalieri italiani.Il lavoro fornisce nuove evidenze sull’adozione di tecnologie emergenti nel settore sanitario e identifica le principali determinanti che i decisori aziendali dovrebbero considerare al fine di promuovere l’implementazione di tecnologie di IA. I risultati ottenuti forniscono informazioni utili ai produttori di tecnologie, ai policy makers e ai manager nella formulazione di strategie più idonee per facilitare l’adozione di tali tecnologie nel contesto sanitario.

Parole chiave:; Intelligenza artificiale; Determinanti dell’adozione; Aziende sanitarie; Farmacisti ospedalieri; NVivo; Technology-Organizational-Environment framework

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Francesco De Domenico, Guido Noto, Carlo Vermiglio, Analisi dei fattori determinanti l’adozione dell’Intelligenza Artificiale in sanità in "MECOSAN" 128/2023, pp 135-160, DOI: 10.3280/mesa2023-128oa18595