| Abstract [eng] |
This master's thesis examines the impact of artificial intelligence (AI) on the quality of healthcare services. AI has great potential to address contemporary healthcare challenges such as an aging population, a shortage of medical staff, and rising healthcare costs. In healthcare, AI is used in clinical diagnosis, personalized medicine, and various administrative tasks. The empirical research was conducted using a qualitative research method: semi-structured interviews. The study involved interviewing healthcare professionals from European countries who work with AI systems. The research aimed to identify areas of AI usage in healthcare facilities, assess their impact on diagnostic accuracy, treatment, and resource optimization, and determine their influence on the quality of healthcare services. The study found that AI is primarily used in clinical diagnosis within the healthcare system, particularly in radiology, cardiology, oncology, and pathology. AI systems automate measurements that would otherwise be manually performed by specialists. This allows resources to be redistributed and diagnostic tasks to be completed more quickly, making healthcare services more accessible to patients and enabling quicker diagnosis and treatment initiation. The influence of AI systems on treatment effectiveness could not be determined, as these indicators were not evaluated by the respondents involved in the study. Although AI systems are used for work efficiency in healthcare institutions, quality indicators are often measured only in the department where the AI systems are implemented, excluding the resources required to maintain the technology. To accurately assess the effectiveness of AI systems in healthcare, the indicators should be evaluated in the context of the entire organization, not just a department. These research findings could be used to design larger-scale qualitative research or to create questionnaires for quantitative studies. Such studies would help manage user expectations and predict the necessary resources for organizations planning to implement AI systems. |
