Medical professionals are frequently burdened by the extensive, routine tasks associated with patient care, one of which includes navigating and interpreting patient information through medical PACS (Picture Archiving and Communication System) systems. Complex visual elements detract from the system’s usability by overcrowding the interface and perplexing the end-users. Since 2022, the remarkable development and breakthroughs in Large Language Models (LLMs) have transformed the way we analyze and access both structured and unstructured data. Furthermore, the enhanced hardware capabilities of Virtual Reality (VR) devices have ushered in the era of Spatial Computing, a paradigm that transcends the limitations of physical space, allowing for unprecedented interaction and creativity. In response to the convergence of these technological advancements, we have conceptualized and developed a Virtual Reality (VR)/Mixed Reality (MR) application designed to enhance the operational efficiency of medical workflows. We designed engineering aesthetic visual elements to minimize discomfort for the user. Additionally, it incorporates a virtual medical assistant powered by a sophisticated Large Language Model (GPT-4), facilitating the analysis of patient information through intuitive voice commands. This integration not only liberates medical professionals from the constraints of physical space and hardware but also empowers them to efficiently process a greater volume of patient data. Through this exploration, we aim to streamline medical workflows, and utilize those techniques for digital transformation of traditional medical practices.