Authors:
Francisco M. García
;
Mohamed Essalhi
;
Samuel Espejo
;
Santiago Sánchez-Sobrino
;
Javier Albusac
and
David Vallejo
Affiliation:
Department of Technologies and Information Systems, University of Castilla-La Mancha Paseo de la Universidad 4, 13071 Ciudad Real, Spain
Keyword(s):
Mixed Reality, 5G Communication, Telemedicine, Primary Care, Remote Assistance, Medical Training, Rural Healthcare.
Abstract:
This position paper proposes the design of MRP-5G, a mixed reality-based platform for remote support and diagnosis in primary care by integrating 5G communication technologies and Artificial Intelligence. MRP-5G will facilitate real-time communication between primary care staff and medical specialists, providing functionalities such as real-time videoconferencing, virtual annotation, and intelligent session indexing for medical training purposes. The proposed architecture is modular and scalable. It includes functional layers for networked communication, integration of LLM-based chatbots, and secure data management. Our approach aims to provide low latency, high quality interactions, and integration of augmented 3D information into clinical workflows. MRP-5G will positively impact on remote healthcare by improving clinical decision-making, enhancing medical education and addressing inequalities in access to healthcare in rural regions. In the next few years, we intend to address key
healthcare challenges such as limited access to specialists in rural areas and the need for technological solutions that enable efficient, interactive, and equitable care. Our work, currently in the design and implementation phase of first functional prototypes, aims to stimulate critical discussion and collaboration in the scientific community to refine and scale this innovative approach.
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