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
AUTHORS (3)
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.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (0)
CITATIONS (1)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....