A cura di Carta Giorgia, Corona Marianna, Mossio Lara e Vercellin Alice. Dalla rubrica "Lavori di ricerca empirica degli studenti dell'Università di Pavia per il corso di Statistica Sociale"
Introduzione e Obiettivi
La nostra ricerca di Statistica Sociale indaga sull’uso e il giudizio dell’intelligenza artifi ciale (AI) in ambito medico e di rianimazione, con un focus sulle percezioni sia dei cittadini che del personale sanitario. Tale argomento è di crescente importanza e ha il potenziale di rivoluzionare le cure mediche, per questa ragione risulta indispensabile un’approfondita analisi del tema.
Definizione dell’AI in Ambito Medico e Rianimatorio
L’AI in medicina, specialmente nelle unità di terapia intensiva (ICU), aiuta a automatizzare processi, analizzare dati rapidamente e supportare decisioni cliniche. Alcuni esempi di applicazioni dell’AI includono il monitoraggio dei pazienti, la diagnostica medica, la pianificazione del trattamento e la predizione degli esiti clinici. Le tecnologie utilizzate comprendono algoritmi di apprendimento automatico e reti neurali artificiali.
Creazione e Sottoposizione del Questionario
Abbiamo creato due tipi di questionari distinti, uno per il personale sanitario e uno per la popolazione generale, distribuiti tramite un web-link. La raccolta dati è avvenuta tra il 15-04-2024 e il 10-05-2024, coinvolgendo 259 cittadini e 165 professionisti sanitari tra Medici di Famiglia, Medici Ospedalieri in diff erenti settori, perlopiù anestesisti e rianimatori, infermieri ed operatori sanitari. I questionari coprivano aspetti anagrafici e demografici, conoscenza dell’AI, giudizio etico e aspettative per il futuro.
Risultati del Questionario per i Cittadini
Dal questionario cittadino è emerso che la maggioranza dei rispondenti, principalmente giovani, non conosce approfonditamente l’uso dell’AI in rianimazione, anche se sarebbe disposta a utilizzarla su un familiare in difficoltà. Tuttavia, molti preferiscono ancora i metodi tradizionali di cura. Le principali preoccupazioni includono la perdita di controllo da parte dei medici, la mancanza di empatia, la dipendenza dalla tecnologia, l’impatto sull’occupazione e il rischio di errori. I benefici percepiti comprendono il miglioramento delle diagnosi, la riduzione degli errori umani, il risparmio di tempo, l’ottimizzazione dei protocolli di trattamento e la promozione della ricerca.
Un risultato interessante riguarda la domanda “Se il personale medico ti proponesse la possibilità di scegliere tra procedure di rianimazione tradizionali o con AI, quali sceglieresti?” Come il grafico sotto dimostra, 175 persone preferirebbero metodi tradizionali, quindi il 68.1%.
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)
Risultati del Questionario per il Personale Sanitario
Il personale sanitario ha mostrato una conoscenza limitata dell’AI, con solo il 9.5% che ha seguito un corso sull’argomento. Tuttavia, il 35% è interessato ad approfondire la conoscenza e il 65% è favorevole all’uso dell’AI come supporto decisionale. Le principali applicazioni dell’AI considerate utili includono l’identificazione precoce di problemi clinici e la semplificazione delle pratiche quotidiane. Le preoccupazioni principali riguardano, invece, la possibilità che l’AI sostituisca il giudizio clinico umano e la perdita di competenze pratiche ed intellettuali.
I rischi che il personale sanitario ha individualizzato riguardo l’intelligenza artificiale in ambito medico sono analizzati nel grafico qui sotto:
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)
Analisi dei Dati
L'analisi statistica ha rivelato che il grado di istruzione è significativamente correlato alla favorevolezza verso l'AI. Anche il tipo di laurea mostra una relazione significativa con l’opinione sull'AI, seppur relativamente debole. Allo stesso modo, la conoscenza dell’AI è positivamente correlata alla favorevolezza verso il suo uso in situazioni di emergenza; pertanto all’aumentare delle conoscenze in possesso al riguardo, il grado di scetticismo del potenziale paziente risulta diminuire. Tra il personale sanitario, l’età è fortemente correlata con la conoscenza dell’AI, con i più giovani che mostrano una conoscenza limitata. La specializzazione dei medici influisce moderatamente sull'uso dell'AI, con una relazione debole tra la specializzazione e il livello di utilizzo.
Confronto con Altri Paesi
Le opinioni di cittadini e personale sanitario italiani rispetto all’AI sono mediamente positive, con una leggera discrepanza tra i due gruppi, laddove il campione di cittadini tende a collocare l’Italia, su una scala da 1 a 5, in posizioni più prossime al livello minimo. In generale, l’Italia, effettivamente, si colloca in una posizione mediana rispetto ad altri Paesi europei o extraeuropei in termini di accettazione e utilizzo dell’AI in ambito medico, seppur si tenda a darle in giudizio più negativo o severo rispetto alla sua reale ed effettiva posizione.
Conclusioni e Prospettive Future
Le nostre aspettative iniziali circa una disparità significativa tra le percezioni dei cittadini e del personale sanitario non sono state completamente confermate, sebbene ci siano differenze sottili. Entrambi i gruppi riconoscono i potenziali benefici dell’AI, ma condividono preoccupazioni etiche e pratiche. Un punto sorprendente è la distribuzione uniforme delle conoscenze e preoccupazioni nella popolazione, indipendentemente da istruzione ed età, suggerendo un ampio interesse sull'argomento. Ulteriori ricerche geografiche e analisi approfondite potrebbero arricchire la comprensione dell'AI in ambito medico, coinvolgendo istituzioni accademiche e sanitarie. Infine, riteniamo dunque cruciale un approccio equilibrato all'adozione dell'AI, con un dialogo continuo per garantire una implementazione responsabile ed etica nel settore sanitario, mantenendo il benessere dei pazienti al centro.