AI-Based Healthcare Mobile Applications: Complexity and Its Effects on Adoption

Abstract

In the contemporary era, artificial intelligence (AI)-based healthcare applications are revolutionizing modern medical services, however, their inherent limitations and complexities can present major barriers to their utilization and adoption. Key issues include interoperability, data privacy, and lack of user trust. These applications are challenging for user owning to their complex user interface (UI) and limited technical literacy. The adopting of these apps necessitates simplified interfaces, enhanced data security, and adhering to ethical principles. The efficiency and reliability of applications can be improved through the design and training tailored to the user’s needs. Considering these principles, this study examines five AI-based healthcare apps, assesses their limitations and shortcomings through expert evaluation, and proposed some suggestions and recommendation for further improvement. This research suggests that, until these issues are addressed, it will be difficult and challenging to realize the full potential of AI-based healthcare applications.