Challenges in Adopting Artificial Intelligence to Improve Healthcare Systems and Outcomes in Thailand.

Abstract

ents a significant challenge due to evolving socioeconomic and environmental factors, as well as the emergence of new diseases. Numerous countries are grappling with the task of addressing health issues within these varying contexts. Meanwhile, the past decade has also witnessed remarkable advancements in technology, particularly in the realm of artificial intelligence (AI) within healthcare. As a result, many countries’ healthcare systems are developing and implementing AI tools to combat health issues among their populations [1]. For example, many organizations and industries have embraced AI technology to enhance quality of life, improving the quality and effectiveness of AI technology for disease prevention and investigation within the healthcare system [2]. This article aims to shed light on ways of enhancing AI in healthcare, taking into account several factors. Specifically, it examines the health contexts, challenges, and strategies for developing improved health outcomes and systems in Thailand. Thailand and other developing countries face multiple challenges when integrating AI technology into healthcare and public health systems. These challenges can impact the efficiency and success of using AI in healthcare. The first challenge is the age composition of the population, which needs to be considered when adopting AI technology to improve health outcomes. Thailand’s age distribution has changed over time, with the elderly population increasing to consist of more than 17% of the entire population, making Thailand an aging society [3]. This demographic shift presents a challenge that government bodies must address due to the accompanying age-related declines in health and increasing prevalence of noncommunicable diseases linked to aging. As a result, there is a growing demand for long-term and continuous care for the aging population. The application of AI technology for this aging population requires careful design and implementation, considering various factors that affect their health. These factors include difficulties in accessing healthcare services and the necessity for continuous monitoring of vital signs to alert healthcare providers of potential emergencies. The ultimate goal is to improve health conditions and treatment outcomes, and to enhance the efficiency of future care. Challenges in Adopting Artificial Intelligence to Improve Healthcare Systems and Outcomes in Thailand