THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HEALTH ECONOMICS: THEORETICAL AND CONCEPTUAL FOUNDATIONS

Artificial intelligence (AI) is rapidly emerging as a transformative force in healthcare, dramatically improving the efficiency, quality and accessibility of care. This article draws on frameworks such as transaction cost theory, human capital theory and the economics of innovation to explore the theoretical and conceptual underpinnings of AI's impact on healthcare economics. A systematic review assesses the integration of artificial intelligence into public health and personalized medicine, focusing on its potential and the challenges it poses. The results highlight AI's ability to reduce administrative costs, optimize resource allocation and improve diagnostic accuracy through automation. AI also makes a significant contribution to innovation and the growth of human capital by facilitating the development of personalized treatments tailored to each patient's needs. Examples include AI's role in improving medical decision-making, streamlining operations and enhancing professional practice through personalized healthcare models. Challenges remain, however, including high implementation costs, resistance to change among healthcare professionals, and ethical issues relating to data privacy and algorithmic biases. Meeting these challenges requires strong governance frameworks and the promotion of collaboration between the public and private sectors. Policies must focus on fostering user acceptance through targeted training programs, and bridging the digital divide to ensure equitable access to cutting-edge technologies. In addition, public policies should encourage partnerships that stimulate innovation while promoting the ethical and inclusive use of AI in healthcare. This article emphasizes the importance of aligning technological advances with ethical and economic considerations in order to maximize AI's potential. By implementing inclusive strategies and promoting awareness, healthcare systems can sustainably integrate AI for the benefit of providers and patients, ensuring an equitable and transformative impact across the healthcare ecosystem.

EL BAKIRDI, ZAKARIA; AHNYNE, REDOUANE; NASEH, MALIKA

Revue Internationale du Marketing et Management Stratégique (2024)

Vol. 6 N° 2 (2024)

DOI: 10.34874/PRSM.rimms-vol6iss2.53453

Import OAI-PMH · Identifiant source : oai:revues.imist.ma:article/53453