An Empirical Investigation in Understanding the Role of Artificial Intelligence in Enhancing the Patient Experience

Abstract

Purpose: This literature review provides critical insights into the most recent research on artificial intelligence (AI) and enhancing the overall patient experience. AI has transformed different fields, including health care, by providing unique solutions to complex problems. Methods: This research has used only qualitative research; the study involves understanding the overall application of AI in enhancing patient experience Findings: Machine learning and artificial intelligence systems' interpretability and explainability are significant in industries such as medicine and healthcare, where trust in their results is necessary. Errors made by these systems, such as incorrect diagnosis or treatment, can potentially result in severe and even fatal consequences for individuals. Implications: Explainable Artificial Intelligence (XAI) has emerged as a notable research domain that addresses this issue. Its primary focus is on explaining the opaque properties of complex and difficult-to-understand machine learning models.