Evidence map›Paper›PMID 42205600›Full record

ReviewJMIR XR and spatial computing2024

Cybersecurity and Privacy Issues in Extended Reality Health Care Applications: Scoping Review.

Kaitlyn Lake, Andrea Mc Kittrick, Mathilde Desselle, Antonio Padilha Lanari Bo, R Achintha M Abayasiri, Jennifer Fleming, Nilufar Baghaei, Dan Dongseong Kim

Abstract readReview
In one paragraph

Review in JMIR XR and spatial computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Addressing challenges for virtual reality applications in the ICU.Journal of anesthesia, analgesia and critical care · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kaitlyn LakeSchool of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, General Purpose South, Staff House Rd, St Lucia, 4067, Australia, 61 450 150 234.ORCID https://orcid.org/0009-0005-9253-9912
Andrea Mc KittrickDepartment of Occupational Therapy, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Australia.ORCID https://orcid.org/0000-0001-6647-272X
Mathilde DesselleHerston Biofabrication Institute, Metro North Health, Brisbane, Australia.ORCID https://orcid.org/0000-0002-3014-5652
Antonio Padilha Lanari BoSchool of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, General Purpose South, Staff House Rd, St Lucia, 4067, Australia, 61 450 150 234.ORCID https://orcid.org/0000-0001-8229-0512
R Achintha M AbayasiriSchool of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, General Purpose South, Staff House Rd, St Lucia, 4067, Australia, 61 450 150 234.ORCID https://orcid.org/0000-0003-1781-5241
Jennifer FlemingSchool of Health and Rehabilitation Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, St Lucia, Australia.ORCID https://orcid.org/0000-0002-5603-2410
Nilufar BaghaeiSchool of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, General Purpose South, Staff House Rd, St Lucia, 4067, Australia, 61 450 150 234.ORCID https://orcid.org/0000-0003-1776-7075
Dan Dongseong KimSchool of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, General Purpose South, Staff House Rd, St Lucia, 4067, Australia, 61 450 150 234.ORCID https://orcid.org/0000-0003-2605-187X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Virtual reality (VR) is a type of extended reality (XR) technology that is seeing increasing adoption in health care. There is robust evidence articulating how consumer-grade VR presents significant cybersecurity and privacy risks due to the often ubiquitous and wide range of data collection and user monitoring, as well as the unique user impact of attacks due to the immersive nature of the technology. However, little is known about how these risks translate in the use of VR systems in health care settings. Objective: The objective of this scoping review is to identify potential cybersecurity risks associated with clinical XR systems, with a focus on VR, and potential mitigations for them. Methods: The scoping review followed the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews), and publications were reviewed using Covidence software. The Google Scholar database was searched using the predefined search terms. The inclusion criteria of the articles were restricted to relevant primary studies published from 2017 to 2024. Furthermore, reviews, abstracts, viewpoints, opinion pieces, and low-quality studies were excluded. Additionally, data on publication statistics, topic, technology, cyber threats, and risk mitigation were extracted. These data were synthesized and analyzed using the STRIDE (spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege) framework, enterprise risk management framework, and National Institute of Standards and Technology Cybersecurity Framework, as well as developing threat taxonomies. Results: Google Scholar returned 482 articles that matched the search criteria. After title and abstract screening, 53 studies were extracted for a full-text review, of which 29 were included for analysis. Of these, the majority were published in the last 4 years and had a focus on VR. The greatest cyber threat identified to XR components was information disclosure followed by tampering when mapped against the STRIDE framework. The majority of risk mitigation strategies provide confidentiality and integrity and can potentially address these threats. Only 3 of 29 papers mention XR in the context of health care and none of the identified threats or mitigations have been studied in a clinical setting. Conclusions: This scoping review identified privacy threats where personal and health-related data may be inferred from VR usage data, potentially breaching confidentiality, as the most significant threat posited for health care VR systems. Additionally, immersive manipulation threats were highlighted, which could potentially risk user safety when launched from a compromised VR system. Many potential mitigations were identified for these threats, but these mitigations must first be assessed for their effectiveness and suitability for health care services. Furthermore, health care services should consider the usage and governance of XR for each individual application based on risk threshold and perceived benefits. Finally, it is also important to note that this scoping review was limited by the quality and scope of the studies returned by Google Scholar.

Indexed as

cyberattackscyber defencecyber securitycybersecurityextended realityhealth careprivacyrisk mitigationvirtual reality

Identifiers

PMID42205600
PMCPMC13202513

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.