Document Type
Article
Publication Title
International Journal on Recent and Innovation Trends in Computing and Communication
Abstract
The roles of artificial intelligence in health care, especially in diagnosis, are evident as they function as a multiplier in diagnosing patients. This research explored how healthcare organizations incorporate decision support tools based on artificial intelligence technology, the problems healthcare professionals encounter during the integration process, and the results obtained from applying artificial intelligence technology at the system level. It therefore sought to identify the differences in the identified factors across regions and types of facilities. A quantitative survey with questions in a closed format was used; the participants were 260 healthcare professionals from different hospitals and clinics, doctors, healthcare managers and IT specialists.
First Page
1109
Last Page
1122
Publication Date
2023
Recommended Citation
Sayem, Md Abu; Taslima, Nazifa; Sidhu, Gursahildeep Singh; Chowdhury, Fariba; Sumi, Salina Malek; Anwar, Ahmed Selim; and Rowshon, Manataka, "AI-Driven Diagnostic Tools: A Survey of Adoption and Outcomes in Global Healthcare Practices" (2023). Finance, Economics, and Data Analytics. 3.
https://roar.una.edu/financeecondata/3
