Mixed Reality-Based Platform for Remote Support and Diagnosis in

Primary Care: A Position Paper

Francisco M. Garc

ıa

, Mohamed Essalhi

, Samuel Espejo

Santiago S

anchez-Sobrino

, Javier A. Albusac

and David Vallejo

Department of Technologies and Information Systems, University of Castilla-La Mancha

Paseo de la Universidad 4, 13071 Ciudad Real, Spain

Keywords:

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 func-

tionalities 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 net-

worked 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, en-

hancing 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.

1 CONTEXT AND PROPOSAL

JUSTIFICATION

The integration of innovative technologies into

healthcare systems is essential to improve the effec-

tiveness and efﬁciency of patient diagnosis, particu-

larly in primary care. General practitioners (GPs) are

at the forefront of diagnosing patients on a daily ba-

sis, whether in clinics, during home visits, or in un-

expected medical emergencies. In such scenarios, the

presence of a specialist to conﬁrm diagnoses or pro-

vide technical support is invaluable. However, the

feasibility of ensuring the availability of specialists

across different medical disciplines, locations, and

timeframes is an ongoing challenge, particularly in

https://orcid.org/0009-0005-7224-0315

https://orcid.org/0009-0004-0039-8255

https://orcid.org/0009-0009-6476-8290

https://orcid.org/0000-0001-6620-1719

https://orcid.org/0000-0003-1889-3065

https://orcid.org/0000-0002-6001-7192

rural areas experiencing depopulation. This issue re-

inforces the need for technological solutions that en-

able specialists to provide real-time remote support

to GPs from their workplace. Similarly, nurses could

beneﬁt from similar support structures to ensure ac-

cess to expertise regardless of location.

To address this unmet clinical need, tele-health so-

lutions must provide an optimal user experience for

both the GP treating the patient and the specialist

providing remote support. For the former, the tech-

nology should integrate seamlessly into their work-

ﬂow and be as unobtrusive as possible. Mixed re-

ality (MR) technologies, such as head-mounted dis-

plays, allow doctors to interact with augmented 3D

virtual information while maintaining their focus on

the physical patient. For the latter, specialists should

have real-time visual and contextual insight into the

GP’s environment, enabling precise guidance through

annotations or virtual overlays visible to the GP

in the ﬁeld. Effective implementation requires bi-

directional, low-latency communication to facilitate

informed and rapid decision making, which is criti-

García, F. M., Essalhi, M., Espejo, S., Sánchez-Sobrino, S., Albusac, J. A. and Vallejo, D.

Mixed Reality-Based Platform for Remote Support and Diagnosis in Primary Care: A Position Paper.

DOI: 10.5220/0013352100003929

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 27th International Conference on Enterprise Information Systems (ICEIS 2025) - Volume 2, pages 565-572

ISBN: 978-989-758-749-8; ISSN: 2184-4992

565

cal in time-sensitive medical situations. In addition,

recording and indexing such interactions for future

medical training purposes adds value by building a

knowledge repository.

On the other hand, the advent of 5G networks of-

fers a unique opportunity to revolutionise these inter-

actions. With its low latency, high bandwidth and re-

liable connectivity, 5G technology ensures smooth,

real-time transmission of high-deﬁnition audio and

video between healthcare providers. These features

are particularly important in scenarios where instant

communication between GPs and specialists can di-

rectly impact patient outcomes.

This issue is even more critical in rural areas,

where healthcare disparities are exacerbated by de-

population and ageing populations. Innovative tech-

nologies can play a key role in addressing these chal-

lenges, driving the digitalisation of healthcare and

making remote services accessible to rural communi-

ties. Such approaches are also in line with broader

socio-economic strategies aimed at revitalising de-

populated areas. Castilla-La Mancha (the Spanish re-

gion where our university is located), one of the Eu-

ropean locations most affected by depopulation, il-

lustrates the urgency of this issue. More than 76%

of its municipalities have a population density of less

than 12.5 inhabitants per km

, a threshold considered

by the European Union to be at risk of depopulation.

In addition, 58% of its municipalities are at serious

risk of depopulation. These challenges have led to the

adoption of Law 2/2011 on economic, social and ﬁs-

cal measures to combat depopulation and develop the

rural environment.

Rural healthcare costs are disproportionately high

for face-to-face specialised services, making access

to quality care even more difﬁcult. Technology-based

solutions for telemedicine offer a cost-effective and

scalable alternative to bridge this gap, ensuring equi-

table access to care regardless of geographical con-

straints. This proposal is in line with national and re-

gional strategies, including Spain’s National Strategy

to Address the Demographic Challenge and Castilla-

La Mancha’s Research and Innovation Strategy for

Smart Specialisation (RIS-3). By fostering innova-

tion, improving access to public services and promot-

ing territorial cohesion, these strategies provide a ba-

sis for addressing health inequalities while supporting

sustainable regional development. This proposal ex-

ploits the synergies between these initiatives to pro-

mote long-term, inclusive growth and resilience.

2 GOAL AND HYPOTHESIS

The aim of this research work is therefore to create

MRP-5G, a technological platform designed for pri-

mary care medical staff, in particular GPs, but also

nurses, in terms of remote diagnosis and support from

specialists. Our research hypothesis is that it is possi-

ble to increase and scale the functional capabilities of

primary care through an innovative solution based on

MR and 5G communication infrastructures. To this

end, primary care staff will wear MR glasses that dis-

play an application capable of establishing real-time,

high-quality videoconferencing sessions with the spe-

cialist over a 5G infrastructure (see Figure 1). The

specialist, in turn, will use a desktop application to

interact and generate information and guidance that

the primary care provider will view through the MR

glasses. This remote care approach, which can be

used from primary care centres as well as the patient’s

home where 5G coverage is available, has signiﬁcant

implications for rural areas. The 3 main contributions

of the proposal that we identify are: 1) a transversal

and integrative nature, characterised not only by real-

time communication between doctors, but also by its

practical application; three speciﬁc use cases are en-

visaged: (i) use in primary care centres, (ii) use at

the patient’s home, and (iii) use in medical emergen-

cies; 2) MRP-5G will serve as a starting point for ad-

dressing other unresolved clinical challenges where

real-time remote care, supported by a MR interaction

paradigm over a 5G infrastructure, adds value to a tra-

ditional care approach; 3) MRP-5G will be able to of-

fer a training-focused approach derived from the in-

telligent recording and indexing of support and diag-

nostic sessions between GPs and specialists.

2.1 Objectives

The overall objective of this research work is the cre-

ation of MRP-5G, a technological platform for pri-

mary care aimed at remote medical diagnosis and

treatment. Particularly, the platform will be capable

of recreating the assistance that primary care person-

nel would receive remotely from a specialist physi-

cian, as if the latter were physically beside the for-

mer while attending to a patient. To achieve this,

the primary care personnel will wear MR glasses, on

which an application capable of establishing high-

quality, real-time video conference sessions over a 5G

infrastructure with the specialist physician will be dis-

played. The specialist, in turn, will use a desktop

application to interact and generate information and

guidance that the primary care personnel will view on

the MR glasses. This remote care approach, which

ICEIS 2025 - 27th International Conference on Enterprise Information Systems

566

Figure 1: Abstract representation of one of the use cases related to the proposal discussed in this research article. On the left,

the specialist provides remote support from their workstation. On the right, the GP diagnoses a patient using MR glasses that

enable interaction with the real world and communication with the specialist.

can be used both from primary care centres and from

the patient’s own home, provided there is 5G cover-

age, has a signiﬁcant impact in rural environments.

This general objective is divided into the follow-

ing sub-objectives:

• Ensure smooth, low-latency communication and

user experience for real-time high-deﬁnition au-

dio/video transmission, with secure and encrypted

communications.

• Develop a MR application for integrating 3D vir-

tual information and patient monitoring into the

care environment.

• Create a desktop application for specialists to in-

teract and view the primary care staff’s perspec-

tive through MR glasses.

• Record, store, and smartly index video confer-

ences for evidence, training, and reference in sim-

ilar medical cases.

• Use open standards and libraries to facilitate tech-

nology transfer and reduce hardware dependen-

cies.

• Validate the solution in a laboratory environment

and conduct initial acceptance tests with health-

care centres.

2.2 Contributions

MRP-5G integrates emerging technologies such as

MR and 5G communication networks, which would

allow more ﬂuid and effective collaboration between

medical professionals, ultimately leading to greater

efﬁciency and effectiveness in healthcare. We be-

lieve that the results obtained after completing the

development of MRP-5G will represent a signiﬁcant

scientiﬁc and technical advancement in the ﬁeld of

telemedicine. Speciﬁcally, we identify the following

contributions:

• The cross-cutting and integrative nature of MRP-

5G, not only in terms of real-time interaction and

communication between medical staff, but also in

terms of practical application. In this sense, we

envision three speciﬁc use cases: i) use from a pri-

mary care center, ii) use from the patient’s home,

and iii) use in a medical emergency.

• Establishment of a starting point for other unre-

solved clinical challenges where real-time remote

care, supported by a MR interaction paradigm

over a 5G infrastructure, provides added value

over a more traditional care approach.

• Capability to provide a training-focused approach

derived from the intelligent recording and index-

ing of support and diagnostic sessions carried out

between primary care physicians and specialist

physicians.

3 RELATED WORK

3.1 Literature Review

As an emerging technology, MR has great potential in

the area of telemedicine (Worlikar et al., 2023). The

usefulness of telemedicine is highlighted in environ-

ments where trained physicians cannot access or are

not present, such as on a commercial ﬂight, on a bat-

tleﬁeld, or in the home environment. Extended reality

systems can be of interest in this context by provid-

ing useful information to the user with or without the

direct intervention of professionals remotely (usually

Mixed Reality-Based Platform for Remote Support and Diagnosis in Primary Care: A Position Paper

567

by videoconference) (Dinh et al., 2023), by relaying

images and audio to guide highly skilled procedures,

such as a speciﬁc diagnosis or the performance of sur-

gical or emergency interventions such as the trans-

fer of a critical patient by ambulance (Munzer et al.,

2019).

Lu et al. recently published a paper detailing their

experience of utilizing MR in the orthopedic surgical

workﬂow across different scenarios such as preopera-

tive planning, intraoperative guidance, surgical navi-

gation, and telesurgery consultation (Lu et al., 2022).

The study makes use of Hololens 2 and describes

in detail the different modules comprising the sys-

tem, including Data Collection and 3D Reconstruc-

tion, Cloud-Based 3D Model Storage and Rendering,

and MR Holographic Imaging.

A related work proposes an AR-based system to

remotely assist healthcare workers in taking biop-

sies (Samantaray et al., 2023), using the Microsoft

Hololens 2 headset. The system projects a 3D model

of the cervix into the real environment, allowing re-

mote annotation by specialists. Although the solution

has been tested in simulated environments with good

results, there is great potential for its application in

the remote diagnosis of cervical cancer.

Another noteworthy study involving the applica-

tion of MR in medical interventions is that of Mi-

tani et al (Mitani et al., 2021). This study repre-

sents the ﬁrst reported use of this technology in the

ﬁeld of otolaryngology, speciﬁcally for tumor resec-

tion. HoloLens 2 devices were utilized for each physi-

cian, allowing for the sharing and visualization of the

same holograms, alongside an associated system for

the generation of speciﬁc 3D holograms to aid in pre-

operative planning and during the intervention. A re-

lated work was presented by Ivanov and colleagues

(Ivanov et al., 2021), which reported another instance

of the HoloLens 2 device being utilized for surgical

interventions and preoperative planning, speciﬁcally

for median neck and branchial cyst excision.

Moving on to telemedicine systems based on

videoconferencing, the study published by Wang et

al. can be found (Wang et al., 2017), which presents a

HoloLens 1-based system that allows making a video-

conference and the remote intervention of the medical

expert through a 3D model of a hand that mimics the

doctor’s gestures. In 2016, Dickey et al. published

a paper presenting a system for remote guidance

of video-conferencing procedures using MR (Dickey

et al., 2016). The system allowed team planning of

the procedure and during which an expert physician

assisted the headset user via videoconference. An-

other work by Andersen et al. (Andersen et al., 2016)

shows a system (STAR, System for Telementoring

with Augmented Reality) that allows a mentor to re-

motely position annotations in the ﬁeld of vision of

doctors to direct them during surgery, resulting in

improved concentration and other variables. This is

done using a tablet that acts as an AR device. The

work of Davis and colleagues (Davis et al., 2016) is

another example of a project in which AR is applied to

telemedicine. In this case, the problem of telesurgery

and its high costs compared to telepresence, i.e. the

intervention of a doctor remotely via videoconferenc-

ing, is raised. Last year, Zhang et al. presented a

study on the application of MR in telemedicine for

remote collaboration in neuroendoscopic procedures.

The system consists of a local video processing sta-

tion, a MR HMD (Hololens 2), and a remote mo-

bile device connected through 4G or 5G (Zhang et al.,

2023). Another study related to remote assistance and

tele-mentoring using MR is discussed by Tadlock et

al. in 2022 (Tadlock et al., 2022), which explores the

impact of this technology on combat casualty care-

related procedures. The authors introduce a system

composed of different devices, including HoloLens 2,

HYC Vive Pro VR, and additional cameras to record

the environments of novice participants and mentors.

Another recent paper presents Health-MR (Yin

et al., 2024), a wearable MR system designed to sup-

port medical staff in patient monitoring. Health-MR

integrates three main functions: facial recognition

for patient identiﬁcation, access to medical informa-

tion from a cloud-based database, and non-invasive

heart rate monitoring using image processing and Fast

Fourier Transform (FFT). The results show that the

system streamlines the retrieval of patient information

and enables accurate, real-time monitoring.

Regarding network infrastructure for real-time

communication in telemedicine, a relevant tool is rep-

resented by WebRTC, an API that allows P2P com-

munication of audio, image, and binary data in real-

time

. WebRTC offers low latency and is compatible

with the most recent web browsers, making it ideal for

videoconferencing. However, there is not much work

using WebRTC in real applications for telemedicine

services. In a previously reviewed publication by

Wang et al. (Wang et al., 2017), it is noted that in

general, when adopting WebRTC, the design and im-

plementation details are very abstract and it is difﬁ-

cult to know which WebRTC components are being

used. In the same work, they tried to use WebRTC but

failed to integrate it with the game engine Unity. An-

other publication by Jang-Jaccard et al. (Jang-Jaccard

et al., 2016) describes a case study of the develop-

ment of a videoconferencing system for use in a real

telemedicine application based on WebRTC, enabling

https://webrtc.org

ICEIS 2025 - 27th International Conference on Enterprise Information Systems

568

communication between healthcare staff and patients.

This is a very comprehensive study, being one of the

ﬁrst and few works that expose in detail the architec-

ture and implementation of such a system.

In 2017, Ant

on et al. published a paper pre-

senting a system called KinectRTC, based on Mi-

crosoft Kinect and WebRTC for the purpose of tel-

erehabilitation of patients through videoconferencing

and multimodal data streaming (Ant

on et al., 2017).

It was noted that in unfavorable scenarios (e.g. long-

distance network), high latencies and packet losses

were noted. An interesting work in this regard is the

aforementioned study by Wang et al. (Wang et al.,

2017), that presents a system that uses a HoloLens 1

device which allows establishing a video conference

and remote guidance through a 3D hand model. In

said work, an appendix is provided in which the prob-

lems encountered when implementing a videoconfer-

encing system in HoloLens are reported, as well as

the different options that were evaluated. They used

the DASH protocol (Dynamic Streaming Over HTTP)

to reduce latency. Another work that uses the DASH

protocol is the one published by Kumar et al., in

which a telemedicine system that uses a 5G network

is presented (Kumar et al., 2023). In relation to the

topics addressed in this proposal, it is worth noting

some concluding remarks regarding the direct appli-

cation and usefulness of 5G technology in healthcare,

which are summarized by Dananjayan et al. (Danan-

jayan et al., 2021).

3.2 Health-5G Project: A MR-Based

System for Remote Medical

Assistance in Emergency Situations

One of the existing research works that is most di-

rectly related to the present research proposal is the

project AR for real-time support of mobile emergency

units (Garc

ıa et al., 2023)

(see Figure 2), devel-

oped by the Artiﬁcial Intelligence and Representa-

tion research group of the University of Castilla-La

Mancha (Spain). This project was framed within

the call for Pilot Projects of 5G Technology (Ref.

2019/C012/00075972) and funded by the Spanish

Ministry of Economic Affairs and Digital Transfor-

mation from 01/09/2020 to 31/01/2023. This project

was associated with situations where personnel in

a medical emergency unit require real-time support

from specialist doctors, materialized through the use

of AR and the adoption of a fog computing-based

paradigm, all supported by 5G infrastructure. In this

work, we designed a distributed architecture consist-

https://youtu.be/3E0P4jHm1y0

Figure 2: Screenshot of the augmented reality system for

real-time support of mobile emergency units (Garc

ıa et al.,

2023).

ing of four interconnected applications, each respon-

sible for a key aspect: advanced human-computer in-

teraction, highly efﬁcient real-time videoconferenc-

ing, medical device integration, and communication

infrastructure management. The AR layer was imple-

mented through the Microsoft Hololens 2 ™ headset.

4 OUR PROPOSAL

4.1 Architecture

The architecture presented in Figure 3 gives an

overview of the functionality provided by the pro-

posal discussed in this research paper. On the one

hand, two roles can be clearly identiﬁed: i) the GP, la-

belled as remote user, and ii) the specialist physician,

who will provide remote support from another loca-

tion (typically a hospital). The platform uses a cloud-

based infrastructure to facilitate its use in a transpar-

ent way for the medical staff involved, thus aiming for

the smoothest possible interactive experience.

On the remote user side, a MR device, such as

the Oculus Quest 3 glasses, will be used, with in-

tegrated functionality to conduct videoconferences,

subject to user authentication, and to interact with an

intelligent chatbot that can provide assistance when

needed in retrieving technical information. The idea

is that this chatbot will use advanced natural language

processing models to answer questions and provide

interactive support. The user experience will be re-

alised through the implementation of hand tracking

and MR, allowing for a natural and immersive inter-

action. On the other hand, the specialist accesses the

system through a web browser to connect to the GP

via videoconferencing, enabling the recording of ses-

sions and, if necessary, accessing the interactive sup-

port of the chatbot integrated into the platform. The

specialist interacts using standard equipment such as

a webcam and microphone, ensuring real-time partic-

Mixed Reality-Based Platform for Remote Support and Diagnosis in Primary Care: A Position Paper

569

Figure 3: Overview of the proposed architecture, distinguishing the roles of the remote user (GP) and the specialist. The

functionality offered by the platform is divided into 5 layers: network layer, persistence layer, infrastructure layer, AI layer

and WebRTC layer.

ipation.

As mentioned earlier, the core of this architecture

is hosted on a cloud platform. The network layer,

using protocols such as WebRTC and HTTPS, en-

sures real-time, low-latency data transfer, which is

essential for smooth interaction between the parties

involved. Within this platform, the kernel provides

common functionalities that facilitate the interoper-

ability of the different modules of the system. In ad-

dition, the WebRTC layer manages videoconferenc-

ing sessions through signalling servers, TURN and

STUN, ensuring stable communications.

The system also has a number of advanced func-

tionalities managed by the AI layer, including video

processing, metadata generation and summaries, and

the integration of speech recognition and synthesis ca-

pabilities. These tools are used to optimise the in-

teraction between the user and the specialist, and to

record and analyse key information from the sessions.

The infrastructure layer is responsible for user man-

agement, chat room creation and authentication, en-

suring secure and controlled access to the system.

Finally, the generated and processed data is stored

in a persistence layer, including session recordings

and uploaded documents. This not only allows these

resources to be reused for analysis and training, but

also promotes the documentation of medical interac-

tions, ensuring a transparent and efﬁcient workﬂow.

4.2 MR Prototype

At the time of writing, we have developed a simple

software prototype as a ﬁrst approximation of the MR

application that will run on the glasses worn by the

GP. This application allows the user to visualise their

Figure 4: Screenshot of the current prototype of MR to sup-

port primary care physicians.

environment using the Meta Quest 3 helmet through

a pass-through functionality. The application incor-

porates a hand tracking system which allows basic in-

teractions that guide the GP through a simple medical

protocol.

Each step of the protocol has a button that, when

activated, displays an interactive canvas. This can-

vas allows the user to ask questions related to the cur-

rent step of the protocol, which are spoken aloud. A

LLM responds to these questions using a speech syn-

thesis system. In addition, the canvas contains a drop-

down menu to facilitate the selection of the mode of

response generation. For steps with associated im-

ages, there is an additional button which, when acti-

vated, displays a third canvas with the corresponding

images. Figure 4 illustrates the three canvases associ-

ated with a protocol step.

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570

5 DISCUSSION AND

CHALLENGES

The successful development and implementation of

MRP-5G will require addressing a number of poten-

tial risks that could hinder its delivery or compro-

mise the achievement of its stated objectives. These

challenges are discussed below, along with the corre-

sponding contingency strategies.

One potential challenge is the low level of com-

mitment from medical staff, which could have a sig-

niﬁcant impact on the success of the project. Their ac-

tive participation is crucial to ensure the practical rel-

evance and acceptance of the proposed solutions. To

address this, effective communication channels will

be established to keep stakeholders informed of the

project’s progress. In addition, regular meetings will

be organised, especially in the early stages, to encour-

age commitment and active participation.

Another challenge is the adaptation of medical

staff to MR-based interfaces. Introducing this tech-

nology into clinical workﬂows may present usabil-

ity and acceptance barriers for some professionals.

To mitigate this risk, targeted training and interactive

workshops will be conducted to familiarise medical

staff with the technology. These activities will also

provide a platform for gathering user feedback to re-

ﬁne interface designs and improve usability.

Ensuring reliable 5G connectivity is another key

challenge. Network quality is critical for real-time,

high-deﬁnition communication between medical pro-

fessionals. To overcome potential connectivity issues,

alternative solutions such as redundant links and com-

plementary communication technologies will be ex-

plored. Partnerships with telecom operators will also

be pursued to improve 5G coverage in the project de-

ployment areas.

Dependence on speciﬁc MR devices is another

risk, as hardware availability or compatibility could

become problematic. To address this, the project will

adopt open standards and use development libraries

that enable interoperability between different devices.

This approach will ensure ﬂexibility and reduce the

impact of potential changes in the hardware market.

Finally, unexpected analysis results could lead to

misalignment with the aforementioned objectives. To

manage this risk, a continuous monitoring and evalu-

ation framework will be implemented. This proactive

approach will enable early detection of data quality

issues and allow timely adjustments to the method-

ologies to ensure reliable and actionable results.

6 CONCLUSIONS

In this position paper, we have proposed a technology

platform called MRP-5G, designed to provide remote

support in primary care through the use of MR and

5G-based communication infrastructures. The pro-

posal addresses key clinical challenges such as lim-

ited access to specialists in rural areas and the need

for technological solutions that promote efﬁcient, in-

teractive, and equitable care. This approach aims not

only to optimise the quality of medical services, but

also to reduce inequalities in access to care, particu-

larly in regions affected by depopulation.

The MRP-5G architecture is organised into in-

terrelated functional layers that, when implemented,

will enable seamless communication between medi-

cal staff and remote users. The network layer man-

ages connectivity through protocols such as WebRTC,

ensuring low latency and high throughput, while

the AI layer incorporates advanced video processing,

transcription and summary generation tools to sup-

port real-time medical decisions. In addition, an in-

frastructure layer handles user authentication and the

creation of virtual interaction spaces, while the persis-

tence layer stores sessions and associated documents,

providing an invaluable resource for further analysis

and medical education.

In addition, this proposal has identiﬁed key areas

of impact and opportunities for innovation through

the implementation of MRP-5G. In particular, the

ability to integrate real-time two-way communication,

MR interaction, and an intelligent indexing system for

recording and analysing clinical sessions stands out as

a transformative approach. The latter functionality is

intended to create a valuable resource for the train-

ing of medical staff, promoting knowledge transfer in

academic and professional contexts.

ACKNOWLEDGEMENTS

This article is a result of the research project with

ID SBPLY/23/180225/000182, entitled Mixed reality-

based platform on 5G infrastructure for remote sup-

port and diagnosis among nursing, general prac-

titioners, and medical specialists (MRP-5G), and

funded by the European Union through European

Regional Development Fund (FEDER) and by Junta

de Comunidades de Castilla-La Mancha through

Castilla-La Mancha Agency for Research and Inno-

vation (INNOCAM).

Mixed Reality-Based Platform for Remote Support and Diagnosis in Primary Care: A Position Paper

571

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