Wilmington University, USA.
Research Article
World Journal of Advanced Research and Reviews, 2022, 13(03), 533–542
Received on 19 January 2022; revised on 25 March 2022; accepted on 28 March 2022
The use of generative AI in healthcare has the ability to completely transform the way patients are diagnosed, treated, and receive care. Concerning data protection, cooperation, ethical issues, user interface design, and training requirements, this research analyses the primary obstacles to the implementation of generative AI in healthcare. The findings provide important insights into healthcare workers' opinions and preparedness for AI integration through a mixed-methods approach that includes quantitative surveys measuring user experiences and qualitative interviews with healthcare professionals. Results indicate high confidence in data security measures but highlight the necessity for enhanced interdisciplinary collaboration and transparency in AI decision-making processes. Additionally, while user satisfaction with AI interfaces is generally positive, there remains a need for improved training programs to empower healthcare professionals effectively. This study highlights the need of tackling these obstacles to guarantee the effective deployment of generative AI technologies, which seek to improve diagnostic precision, simplify processes, and heighten patient involvement in their treatment.
Generative AI; Decision making processes; Healthcare
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Naga Durga Srinivas Nidamanuri. A study on the adoption challenges and solutions for transforming healthcare with generative AI. World Journal of Advanced Research and Reviews, 2022, 13(3), 533-542. Article DOI: https://doi.org/10.30574/wjarr.2022.13.3.0169