Do You Agree with AI Making Decisions About Your Treatment? A Comparative Survey of IT and Healthcare Practitioners

Interview Health Professionals Healthcare system
DOI: 10.62487/m67cnn54 Publication Date: 2024-02-17T06:59:32Z
ABSTRACT
Aim: The primary aim of this study was to investigate and compare the opinions professional groups responsible for development medical AI ML models regarding use those their own treatment. Materials Methods: This survey conducted through a blend private interviewing anonymous online polling, utilizing platforms such as Telegram, LinkedIn, Viber. target audience comprised specific international groups, primarily Russian, German, English-speaking, healthcare IT practitioners. These participants ranged in levels expertise experience, from beginners veterans. centered on singular, pivotal question: “Do you agree with making decisions about your treatment including diagnostics, surgeries, medications?” Respondents had option choose three responses: “Yes”, “Yes, if supervised by doctor”, “No”. Results: A total 427 unique verified individuals participated survey, comprising 226 201 results revealed statistically significant (p-value < 0.0001) difference between two groups. Over 50% workers definitively answered “No” application algorithms In contrast, practitioners demonstrated higher level trust system's integration technology, 70% expressing willingness be treated under supervision doctor. Only 10% respondents without human supervision. Conclusion: reveals marked contrast express AI, compared 80% Notably, complete AI-driven is exceedingly low both at less than 10%. clinical settings, patients should informed applications diagnostic processes.
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