International Journal For Multidisciplinary Research

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AI-Driven Healthcare in France

Author(s) Rachid Ejjami
Country France
Abstract This integrative literature review (ILR) looks into the use of artificial intelligence (AI) technology in the French healthcare system, emphasizing personalized medicine and predictive health analytics. The study subject is the problematic integration of AI technologies, which is hampered by significant challenges, including data privacy concerns, system interoperability, ethical and legal issues, resistance to technological change, and the need for extensive training of healthcare professionals. These issues affect French healthcare professionals and politicians, who must overcome these challenges to utilize AI's potential fully. This research aims to investigate and assess the integration of AI into the French healthcare system, particularly in personalized medicine and predictive health analytics, to identify and address the obstacles and leverage the opportunities that improve patient care and operational efficiency. The ILR's guiding conceptual framework is based on three essential concepts: artificial intelligence, personalized medicine, and predictive healthcare analytics. The research methodology consists in thoroughly examining current literature, qualitative study of case studies, and interviews with industry professionals. The study's findings show that AI has tremendous potential to increase diagnostic precision and treatment accuracy in the French healthcare system. They highlight initiatives such as establishing specialized departments like "Intelligent Healthcare Services" and creating positions like "Intelligent Doctor". The conclusions address the potential implications of the findings for enhancing patient care and operational efficiency, as well as recommendations for further study and practice. These include performing longitudinal studies, looking into emerging data integrity solutions such as blockchain, and improving healthcare professional training programs. Ultimately, breaking down current obstacles and ensuring that AI technologies improve healthcare delivery and patient outcomes would make France a leader in AI-driven medical innovation.
Keywords Artificial intelligence, French healthcare system, Personalized medicine, Predictive health analytics, Data privacy concerns, System interoperability, Ethical issues, Legal issues, Resistance to technological change, Healthcare professional training, Patient care, Operational efficiency, Diagnostic precision, Treatment accuracy, Intelligent healthcare services, Intelligent doctor, data integrity solutions, AI-driven medical innovation
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-17
Cite This AI-Driven Healthcare in France - Rachid Ejjami - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.22936
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.22936
Short DOI https://doi.org/gt2bw7
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