PRIORITIZING CHALLENGES IN AI APPLICATIONS IN HEALTHCARE: MULTI-CRITERIA DECISION MAKING APPROACH

Abstract

Artificial Intelligence (AI) applications have become increasingly popular in recent years as technological capabilities have evolved. AI applications in healthcare are one of the areas that need to adapt quickly in order not to lose touch with the times. Focusing only on the opportunities that AI applications bring to healthcare can make this adaptation process problematic. Instead, it is important for the efficiency of the adaptation process to identify the challenges that may arise with AI applications in healthcare and prioritize these challenges. This study used the Analytical Hierarchy Process (AHP) method, which is the most widely used Multi-criteria Decision Making (MCDM) method. For the study, the opinions of 5 experts were obtained, 3 of whom are medical doctors and 2 are faculty members working on AI applications. The aim of the study is to provide guidance to policy makers and practitioners on the challenges they should focus on when adopting Artificial Intelligence in healthcare. The result of the study shows that the most important challenge is “Ethical Problems”. Among the “Ethical Problems”, the "Principle of Ethical Double Effect" is the most important with a value of 0,569.

Ähnliche Arbeiten