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Luengo-Oroz, M., Pham, K. H., Bullock, J., Kirkpatrick, R., Luccioni, A., Rubel, S., Wachholz, C., Chakchouk, M., Biggs, P., & Nguyen, T. (2020). Artificial Intelligence Cooperation to Support the Global Response to COVID-19. Nature Machine Intelligence, 2, 295-297.
https://doi.org/10.1038/s42256-020-0184-3

has been cited by the following article:

• TITLE: Generative Artificial Intelligence in Health System Management: Transformative Insights

  AUTHORS: Enver Malsia, Afrim Loku

  KEYWORDS: General Artificial Intelligence, Health Information Systems, Data Processing, Challenges, Health Information Management, Analytics, Future Perspective

  JOURNAL NAME: Journal of Service Science and Management, Vol.17 No.2, April 7, 2024

  ABSTRACT: This research paper investigates the emerging role of Generative Artificial Intelligence (Generative AI) within health information systems. With a focus on its applications in data processing, diagnostics and patient care, analytics and its impact on improving the quality of healthcare services, challenges and future perspectives of the integration of Generative AI in healthcare. Through a comprehensive exploration, this study contributes to the growing discourse on the use of advanced technologies to improve health services and health information management and overall patient outcomes. Generative AI has emerged as a transformative technology in the field of health information systems, providing innovative solutions and capabilities. This paper explores the key role of generative AI in improving healthcare data processing, facilitating diagnostics and revolutionizing patient care. Through an in-depth analysis, we aim to shed light on the potential benefits, challenges and future implications of integrating Generative AI into health information systems.