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A mixed methods study of the transformative effects of artificial intelligence on healthcare

Bongs Lainjo

Abstract


Technological advancements have catalyzed the emergence of Artificial Intelligence (AI), significantly enhancing the efficiency of diverse healthcare services. AI has a pivotal role in revolutionizing medical processes and addresses its potential in drug discovery, disease prognosis, and healthcare optimization. The study employs both quantitative and qualitative methods to investigate the multifaceted dimensions of AI’s influence on healthcare. The quantitative phase involves a diverse participant pool, employing surveys and clinical data analysis. Multiple linear regression and ANOVA are used to assess the relationship between AI utilization and patient outcomes. The qualitative phase includes in-depth interviews, providing insights into the complexities of AI integration, ethical concerns, and perspectives of healthcare professionals and patients. The findings reveal a moderate impact of AI on healthcare delivery, with challenges in AI integration and no significant influence of confidence in AI technologies. The study urges careful interpretation of results and highlights the imperative for additional research. It emphasizes the significance of a balanced approach, considering ethical implications, to fully leverage the potential of AI in enhancing medical procedures and shaping the future of healthcare delivery systems.


Keywords


artificial intelligence (AI); healthcare; electronic health records; doctor-patient

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References


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DOI: https://doi.org/10.32629/jai.v7i5.1468

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