Page 155 - Petelin, Ana, ur. 2024. Zdravje delovno aktivnih in starejših odraslih / Health of Working-Age and Older Adults. Zbornik povzetkov z recenzijo ▪︎ Book of Abstracts. Koper: Založba Univerze na Primorskem/University of Primorska Press
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The Use of Artificial Intelligence in the Field of Health for Working-age
               Adults and Older Adults

               Marjeta Logar Čuček
               University Clinical Center Ljubljana, Ljubljana, Slovenia

               Introduction and purpose: Artificial intelligence (AI) brings numerous positive effects
               that extend to various aspects of human life. It can be understood as a “machine sys-
               tem” that, for a set of goals defined by humans, can make forecasts, formulate recom-
               mendations, or take decisions in real or virtual environments with varying degrees of
               autonomy. It pushes the boundaries both in technological capabilities and in the man-
               ner in which it is used, also in healthcare. It is crucial to perceive AI not as a substitute
               for human work, but as a tool that can help employees achieve more favorable work
               outcomes, improve cost-effectiveness, and better understand complex medical data.
               The implementation of AI in healthcare services requires a critical assessment of the
               ethical and legal aspects of its use. The purpose of the research is to identify the op-
               portunities and significance of using artificial intelligence in the field of healthcare for
               working-age adults and older adults.
               Content presentation: The demands for improvement and higher quality of healthcare
               services are increasing. Automated solutions are vital in order to achieve this goal,
               and artificial intelligence can play a significant role. Development is focused on building
               models based on extensive databases of successfully solved healthcare cases. A pre-
               requisite for the introduction of new technologies is the transformation of traditional
               clinical information systems with limited data analysis capabilities. This includes digital-
               isation of data from various levels of healthcare, enabling a machine-readable elec-
               tronic health record. Research indicates that the use of AI in healthcare is becoming
               increasingly common, with applications ranging from screening and triage to clinical
               risk prediction and faster, more accurate diagnoses. Using time analysis of a patient’s
               health issues, genetics, and lifestyle, AI can recommend a personalized treatment plan,  uporaba ikt rešitev na področju zdravja ... | ict solutions for health ...
               including appropriate medication and high-quality care. AI can also function as a virtu-
               al healthcare assistant, providing patients with relevant information about their condi-
               tion and thereby improving their engagement in their treatment plan. AI can also aid
               in the development of more effective drugs with fewer side effects. The use of mod-
               ern information technology is also defined by telemedicine applications, which include
               remote healthcare consultations, diagnostics, and treatment. Advantages include in-
               tegrated patient care regardless of their physical location, availability of patient data
               for expert consultations, and the possibility of remote notification of changes in health
               status in chronic diseases. AI can also simplify administrative tasks in healthcare insti-
               tutions, and in this way contribute to speed, efficiency, and cost reduction, resulting in
               overall financial benefits to the healthcare system. Priorities to be addressed in the fu-
               ture include education, research and exploiting the potential of AI at all levels of study
               in healthcare, and creating opportunities to build on knowledge. Leaders should build
               organisational structures that enable healthcare staff to be involved in all phases of AI,
               from development to implementation.
               Conclusions: Developing skills in new technologies in healthcare requires new knowl-
               edge and building trust in AI. While this technology improves workplaces and process-
               es, it is important to ensure that the humanity of the work environment and the rela-
               tionship with patients of different generations is not diminished.
               Keywords: healthcare, development of new technologies, education, quality of life







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