Bridging the Healthcare Divide: A Seamless Multimodal Interface for Virtual Healthcare

Authors

  • Atharva Gade, Siddhi More, Anushka Kumbhar, Mayur Shewale, Prof. Shobha Bamane, Prof Deepak K. Sharma

Keywords:

NLP, Speech Recognition, Language Interpretation, Augmented Reality, and UML to craft a groundbreaking virtual healthcare assistance framework.

Abstract

The backdrop of our contemporary global landscape, an increasingly health-conscious populace grapples with a formidable challenge—while the demand for healthcare has surged, the availability of human resources in the medical profession falls woefully short, leaving a significant portion of patients without timely and adequate care. This stark reality underscores the pressing need for innovative solutions that bridge the gap between patient needs and available medical expertise. Amid this healthcare imbalance, numerous studies have illuminated a promising path forward: the integration of advanced technologies, particularly chatbots and health assistants, to provide a responsive and accessible avenue for individuals seeking medical guidance. This paper endeavors to delve into the expansive realm of chatbots, aiming not merely to address the shortage of healthcare professionals but to elevate the quality of healthcare accessible to individuals globally.

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Published

2023-10-03

How to Cite

Atharva Gade, Siddhi More, Anushka Kumbhar, Mayur Shewale, Prof. Shobha Bamane, Prof Deepak K. Sharma. (2023). Bridging the Healthcare Divide: A Seamless Multimodal Interface for Virtual Healthcare. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 2(4), 14–19. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/41