Andrew Danso, Patti Nijhuis, Alessandro Ansani, Martin Hartmann, Gulnara Minkkinen, Geoff Luck, Joshua S Bamford, Sarah Faber, Kat R Agres, Solange Glasser, Teppo Särkämö, Rebekah Rousi, Marc R Thompson
{"title":"Development and User Experiences of a Novel Virtual Reality Task for Poststroke Visuospatial Neglect: Exploratory Case Study.","authors":"Andrew Danso, Patti Nijhuis, Alessandro Ansani, Martin Hartmann, Gulnara Minkkinen, Geoff Luck, Joshua S Bamford, Sarah Faber, Kat R Agres, Solange Glasser, Teppo Särkämö, Rebekah Rousi, Marc R Thompson","doi":"10.2196/72439","DOIUrl":"10.2196/72439","url":null,"abstract":"<p><strong>Background: </strong>Visuospatial neglect (VSN) affects spatial awareness, leading to functional and motor challenges. This case study explores virtual reality (VR) as a potential complementary tool for VSN rehabilitation.</p><p><strong>Objective: </strong>Specifically, we aim to explore the initial experiences of patients and physiotherapists engaging with a novel protocol, using an audiovisual cue task to support VSN rehabilitation.</p><p><strong>Methods: </strong>A preliminary VR task integrating audiovisual cues was co-designed with 2 physiotherapists. The task was then tested with 2 patients with VSN over 12 sessions. The intervention focused on engaging neglected spatial areas, with physiotherapists adapting the task to individual needs and monitoring responses.</p><p><strong>Results: </strong>Initial testing with 2 trainee physiotherapists indicated high usability, engagement, and perceived safety. Two patients with VSN completed 12 VR sessions. For Patient A, completion times increased following the introduction of an audio cue, though modeling indicated a nonsignificant linear trend (β=0.08; <i>P</i>=.33) and a marginally significant downward curvature (β=-0.001; <i>P</i>=.08). In contrast, Patient B showed a significant linear decrease in completion times (β=-0.53; <i>P</i>=.009), with a quadratic trend indicating a performance minimum around session 10 (β=0.007; <i>P</i>=.04). Intraweek variability also decreased. Motor scores (Box and Block Test and 9-Hole Peg Test) remained stable, and subjective feedback indicated improved mobility confidence and positive task engagement.</p><p><strong>Conclusions: </strong>Further research with larger cohorts is needed to confirm the VR task's utility and refine the intervention.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e72439"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671316/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hamraz Javaheri, Vitor Fortes Rey, Paul Lukowicz, Gregor A Stavrou, Jakob Karolus, Omid Ghamarnejad
{"title":"Assessing the Feasibility of Using Apple Vision Pro While Performing Medical Precision Tasks: Controlled User Study.","authors":"Hamraz Javaheri, Vitor Fortes Rey, Paul Lukowicz, Gregor A Stavrou, Jakob Karolus, Omid Ghamarnejad","doi":"10.2196/73574","DOIUrl":"10.2196/73574","url":null,"abstract":"<p><strong>Background: </strong>The emergence of next-generation video-see-through head-mounted displays, such as the Apple Vision Pro (AVP), has generated considerable interest in the medical field. While preliminary studies highlight AVP's potential, no controlled study has rigorously assessed its usability for precision-based medical tasks requiring fine motor control and real-world perception.</p><p><strong>Objective: </strong>This study aims to evaluate the feasibility of using AVP while performing real-world medical precision tasks.</p><p><strong>Methods: </strong>To assess AVP's feasibility, we conducted a controlled user study with 20 health care professionals, who performed 3 different suturing techniques across 3 intervention conditions. Participants completed the same tasks using AVP, the Microsoft HoloLens 2 (MHL2), and a baseline (without a head-mounted display). A within-subject design was used, ensuring that each participant experienced all intervention groups. We used a mixed methods research approach, incorporating both quantitative metrics, including task completion time, suturing performance, system usability score, cognitive load, virtual reality sickness, and presence score, as well as qualitative insights gathered through interviews.</p><p><strong>Results: </strong>Participants took significantly longer to complete the entire task using AVP (570.0, SD 192.0 s) compared with MHL2 (456.0, SD 120.0 s; <i>P</i><.001) and baseline (472.0, SD 143.0 s; <i>P</i><.001). The analysis on participants' average suture performance revealed no significant differences across interventions (<i>P</i>=.76). The total raw NASA Task Load Index score among participants was significantly higher for AVP (43.9, SD 15.9) compared with MHL2 (21.5, SD 13.8; <i>P</i><.001) and baseline (19.1, SD 15.1; <i>P</i><.001). The analysis of the presence questionnaire demonstrated a significantly higher presence score for MHL2 (115.0, SD 11.4) compared with AVP (93.7, SD 12.7; <i>P</i><.001). The overall virtual reality sickness questionnaire score was significantly higher for AVP (66.9, SD 19.8) compared with MHL2 (41.1, SD 9.32; <i>P</i><.001). Moreover, the calculated system usability score for MHL2 (72.7, SD 8.54) was significantly higher compared with AVP (50.3, SD 14.4; <i>P</i><.001).</p><p><strong>Conclusions: </strong>In conclusion, AVP has potential for non-time-sensitive medical applications or those that emphasize digital elements over real-world interaction. Its current usability limitations, particularly increased cognitive load and prolonged task execution times, suggest that further optimizations are necessary before widespread clinical adoption is feasible.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e73574"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jacob Hobbs, Christopher Bull, Caroline Claisse, Mat Elameer, Richard Davison
{"title":"Role of Augmented Reality in Tertiary Care: Qualitative Investigation Using Thematic Analysis.","authors":"Jacob Hobbs, Christopher Bull, Caroline Claisse, Mat Elameer, Richard Davison","doi":"10.2196/68810","DOIUrl":"10.2196/68810","url":null,"abstract":"<p><strong>Background: </strong>While augmented reality (AR) as a concept is not new, it is still an emerging technology with a wide range of applications that it could provide value for. In the medical field, AR is becoming ever more prevalent, but while it has been applied to various medical tasks, it is far from commonplace. Radiological imaging has been suggested as one of these applications, and the radiology workflow capacity crisis the United Kingdom's National Health Service is experiencing is a potential opportunity for technology to alleviate pressure. Understanding clinical stakeholders and current systems is important for identifying design opportunities for developing AR to enhance interactions and gain more from radiological images.</p><p><strong>Objective: </strong>This study had 3 key aims. First, to build an understanding of the field in the context of AR; second, to understand the stakeholders and workflows surrounding radiological images; and finally, to suggest how AR could integrate within these workflows and current practices in order to provide value.</p><p><strong>Methods: </strong>We conducted 14 interviews with hospital-based consultants in a range of specialties and then completed a thematic analysis on the transcripts in order to find trends that suggest what value AR could add to radiological imaging, where that value could be added, and who would benefit. We implemented reflexive thematic analysis to develop themes from across the interviews, which were then built on to suggest design implications.</p><p><strong>Results: </strong>We find that the need for efficiency in image evaluation is present across many roles, regardless of the clinical question, but consultants can be resistant to new technology. Additionally, we find that the current capability of AR technology could be of greater benefit to radiologists as opposed to surgeons or other practitioners. We discuss these findings for the development of AR applications and present 3 design implications that stand as our core contribution.</p><p><strong>Conclusions: </strong>We conclude with 3 design implications for the application of AR within radiological imaging based on the results of our thematic analysis and frame them within the Human-Computer Interaction and medical fields. The first design implication highlights efficiency and how AR has the potential to allow for quicker comprehension and measurements. Second, we suggest that the capability of AR tools should complement existing techniques and not simply replicate current ability in 3 dimensions. Finally, the integration of AR tools with existing workflows is crucial in the uptake of the technology in order not to negatively disrupt practice.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e68810"},"PeriodicalIF":1.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671309/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual Reality Reminiscence Therapy in Dementia Care: Scoping Review of Research.","authors":"Maria Matsangidou","doi":"10.2196/73539","DOIUrl":"10.2196/73539","url":null,"abstract":"<p><strong>Background: </strong>Dementia is a progressive neurological disorder affecting cognitive and social functioning, posing challenges for patients and caregivers. Traditional medications often have adverse effects, emphasizing the need for nonpharmacological options such as reminiscence therapy (RT). Virtual reality (VR) has emerged as a promising tool in dementia care, providing immersive experiences that stimulate memory, enhance emotional well-being, and reduce the behavioral and psychological symptoms of dementia.</p><p><strong>Objective: </strong>This scoping review assesses the feasibility and implementation challenges of delivering RT via VR in dementia care. Specifically, it examines the types of VR systems used, their therapeutic benefits, and the barriers to their adoption.</p><p><strong>Methods: </strong>We screened 5 electronic libraries: Google Scholar, ACM Digital Library, IEEE Xplore, MEDLINE, and PubMed. Studies published between 2000 and 2025 were included if they examined the use of VR for RT in people with dementia. Data were charted based on PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines and analyzed thematically for feasibility, VR system type, therapeutic effects, and implementation considerations.</p><p><strong>Results: </strong>A total of 15 studies met the inclusion criteria. The findings indicate that VR is feasible and well-accepted among people with dementia, fostering high engagement with minimal adverse effects. Fully immersive VR systems, which use head-mounted displays, are the most frequently used, while semi-immersive alternatives with large screens provide a more cost-effective option. RT via VR has been shown to improve reminiscence, enhance mood, and encourage social interaction. However, its impact on cognitive function remains inconclusive. Significant barriers to implementation include high costs, limited availability of VR infrastructure in care, and the need for specialized caregiver training.</p><p><strong>Conclusions: </strong>RT via VR presents a promising advancement in dementia care. Future research should focus on developing cost-effective, scalable VR solutions, designing personalized VR experiences tailored to individual needs, and creating structured training programs for caregivers. Longitudinal studies are necessary to determine the long-term therapeutic effects of VR compared to traditional RT.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e73539"},"PeriodicalIF":1.8,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tanja Birrenbach, Seraina Häni, Sabrina Jegerlehner, Simon Schober, Aristomenis K Exadaktylos, Thomas C Sauter
{"title":"Feasibility, Subjective Effectiveness, and Acceptance of Short Virtual Reality Relaxation Breaks for Immediate Perceived Stress Reduction in Emergency Physicians: Single-Arm Pre-Post Intervention Study.","authors":"Tanja Birrenbach, Seraina Häni, Sabrina Jegerlehner, Simon Schober, Aristomenis K Exadaktylos, Thomas C Sauter","doi":"10.2196/72605","DOIUrl":"10.2196/72605","url":null,"abstract":"<p><strong>Background: </strong>Emergency physicians face significant stress in their daily work, adversely affecting patient care and contributing to physician burnout.</p><p><strong>Objective: </strong>This pilot study explored the feasibility, immediate effects, and acceptance of virtual reality (VR) relaxation on perceived stress reduction among emergency physicians.</p><p><strong>Methods: </strong>The study was conducted at the Department of Emergency Medicine, Bern, Switzerland, in February 2023. All junior and senior physicians were eligible, excluding those with epilepsy, claustrophobia, or severe nausea. Voluntary participants underwent a 6- to 8-minute VR meditation program at their workplace. Subjective short-term stress reduction was measured using a numeric rating scale (NRS) ranging from 0 (\"not at all stressed\") to 10 (\"extremely stressed\"). Feasibility, user acceptance, and technical aspects were evaluated using validated and self-constructed questionnaires.</p><p><strong>Results: </strong>In total, 35 emergency physicians (median [IQR] age, 32 [30-34] years, 60% female) completed 39 VR simulation sessions. Baseline stress levels (median NRS 4, IQR 2-6.5) were significantly reduced post-intervention (median NRS 2, IQR 1-4; <i>P</i><.001), particularly among participants with high baseline stress levels. Reported side effects (simulator sickness) were minimal; the median score of presence and immersion according to the questionnaire developed by Slater-Usoh-Steed was 4 (IQR 3-4) (scale 1-7, with 7=full immersion). User satisfaction was high. Implementation challenges mainly included technical issues and time constraints due to high workload.</p><p><strong>Conclusions: </strong>This pilot study suggests that brief, relaxing VR sessions may help reduce short-term perceived stress levels in emergency physicians with minimal side effects and high user satisfaction. Future studies should address implementation challenges to optimize integration with clinical workflows.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e72605"},"PeriodicalIF":1.8,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671296/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anirban Dutta, Katerina Hatjipanagioti, Matthew Alexander Newsham, Lewis Leyland, Lindsey Rickson, Alastair Buchanan, Ildar Farkhatdinov, Jacqueline Twamley, Abhijit Das
{"title":"Extended Reality Biofeedback for Functional Upper Limb Weakness: Mixed Methods Usability Evaluation.","authors":"Anirban Dutta, Katerina Hatjipanagioti, Matthew Alexander Newsham, Lewis Leyland, Lindsey Rickson, Alastair Buchanan, Ildar Farkhatdinov, Jacqueline Twamley, Abhijit Das","doi":"10.2196/68580","DOIUrl":"10.2196/68580","url":null,"abstract":"<p><strong>Background: </strong>The perception-action cycle enables humans to adapt their behaviors by integrating sensory feedback into motor actions. Functional neurological disorder (FND) disrupts this cycle, leading to maladaptive motor responses and a diminished sense of agency. FND includes functional seizures, movement disorders, and cognitive impairments, significantly affecting quality of life. Recent advancements in extended reality (XR) neurotechnologies provide opportunities for novel rehabilitation approaches, leveraging visual and haptic feedback to retrain motor control and restore agency in individuals with functional limb weakness.</p><p><strong>Objective: </strong>This study aimed to co-design and evaluate an XR-based biofeedback platform for upper-limb rehabilitation in FND, incorporating multisensory feedback (visual and haptic) to enhance motor retraining.</p><p><strong>Methods: </strong>A mixed methods design was used. In phase 1, a Delphi survey (N=20, patients with FND) identified key user requirements, emphasizing customizability, real-time feedback, accessibility, and comfort. These insights guided the codevelopment of an XR biofeedback platform. In phase 2, a co-design workshop with 6 participants (3 FND patient representatives and 3 health care professionals) evaluated the usability of 3 XR training tasks: virtual reality (VR) relaxation task, a guided meditation in a VR calming environment; XR position feedback task (\"Hoop Hustle\"), a VR-based motion task requiring arm movements to interact with virtual objects, providing real-time positional biofeedback; and XR force feedback task, a haptic robot-assisted exercise using the Human Robotix System (HRX-1) haptic device, applying resistive forces to guide upper limb movements. Participants completed system usability scale (SUS) questionnaires and provided qualitative feedback, which was analyzed using NVivo (QSR International) thematic analysis.</p><p><strong>Results: </strong>The XR position feedback task achieved the highest usability ratings, with 4 out of 6 participants scoring it above 85, indicating \"excellent\" usability. The VR relaxation task received polarized scores: 2 participants rated it highly (90 and 87.5), while 3 scored it poorly (mid-40s), citing motion discomfort and disengagement. The XR force feedback task had mixed usability outcomes (SUS range: 27.5-95.0), with 1 participant with functional dystonia struggling significantly (SUS 27.5), while others rated it between 62.5 and 95.0. Qualitative feedback emphasized comfort (lighter headsets and better ergonomic design), immersion and content quality (clearer visuals and reduced distracting audio prompts), personalization (adjustable settings for speed, difficulty, and force resistance), and accessibility (cost concerns and home usability considerations). Overall, participants viewed the XR biofeedback platform as highly promising but in need of fine-tuning.</p><p><strong>Conclusions: </strong>This stud","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e68580"},"PeriodicalIF":1.8,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671321/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Syl Slatman, Lieke Heesink, Reinoud Achterkamp, José Broeks, Nelson Monteiro de Oliveira, Remko Ter Riet, Marjolein Stegeman, Monique Tabak
{"title":"At-Home Virtual Reality Intervention for Patients With Chronic Musculoskeletal Pain: Single-Case Experimental Design Study.","authors":"Syl Slatman, Lieke Heesink, Reinoud Achterkamp, José Broeks, Nelson Monteiro de Oliveira, Remko Ter Riet, Marjolein Stegeman, Monique Tabak","doi":"10.2196/58784","DOIUrl":"10.2196/58784","url":null,"abstract":"<p><strong>Background: </strong>Virtual reality (VR) could possibly alleviate complaints related to chronic musculoskeletal pain (CMP); however, little is known about how it affects pain-related variables on an individual level and how patients experience this intervention.</p><p><strong>Objective: </strong>This study aimed to gain detailed insight into the influence of an at-home VR intervention for pain education and management on pain-related variables, and to explore its feasibility and general experience.</p><p><strong>Methods: </strong>The study applied a single-case experimental design in which an at-home VR intervention was used for 4 weeks by patients with CMP who were on a waiting list for regular pain treatment. Outcome measures included pain-related variables, functioning, and objectively measured outcomes (ie, stress, sleep, and steps). Outcomes were analyzed using data visualization (based on line plots) and statistical methods (ie, Tau-U and reliable change index) on an individual and group level. In addition, a focus group was conducted to assess feasibility and general experience to substantiate findings from the single-case experimental design study. This focus group was analyzed using inductive thematic analysis.</p><p><strong>Results: </strong>A total of 7 participants (female: n=6, 86%) with a median age of 45 (range 31-61) years participated in this study. A dataset with 42 measurement moments was collected with a median of 280 (range 241-315) data points per participant. No statistically significant or clinically relevant differences between the intervention and no-intervention phases were found. Results of the visual analysis of the diary data showed that patients responded differently to the intervention. Results of the focus group with 3 participants showed that the VR intervention was perceived as a feasible and valued additional intervention.</p><p><strong>Conclusions: </strong>Although patients expressed a positive perspective on this VR intervention, it did not seem to influence pain-related outcomes. Individual patients responded differently to the intervention, which implies that this intervention might not be suitable for all patients. Future studies should examine which CMP patients VR is effective for and explore its working mechanisms. In addition, future larger trials should be conducted to complement this study's findings on the effectiveness of this intervention for patients with CMP and whether VR prevents deterioration on the waiting list compared with a control group.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e58784"},"PeriodicalIF":1.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charlotte Galvin, Jonathan Watt, Payal Ghatnekar, Nicholas Peres, Jacqueline Rees-Lee
{"title":"A Local Training Program to Increase Awareness of Emerging Extended Reality Technologies Among Health Care Professionals: Development Study.","authors":"Charlotte Galvin, Jonathan Watt, Payal Ghatnekar, Nicholas Peres, Jacqueline Rees-Lee","doi":"10.2196/57361","DOIUrl":"10.2196/57361","url":null,"abstract":"<p><strong>Background: </strong>Demands on health care services can greatly outweigh capacity. Multifactorial causative factors present great challenges, forcing the National Health Service (NHS) to increase efficiency and adaptivity. Concurrently, digital advancements are excelling and long-term plans for NHS sustainability are focusing on the use of technological interventions to benefit patients. As a result, integration of extended reality (XR) technology has become an important focus of health care research. However, models of how the digital literacy of health care workforces can be developed and how frontline staff can be actively involved in the design and development of creative digital interventions are lacking. Such programs are essential to allow the development and upscaling of digital innovation within the NHS for the benefit of the patients.Such a program has been developed in the Digital Futures research lab at Torbay and South Devon NHS Foundation Trust, representing one of the first immersive digital technologies research spaces embedded within the NHS. A \"Digital Deep Dive\" training program has been developed, allowing local health care workers to recognize the possibilities of digital health care technologies and supporting them in the evolution of ideas for potential bespoke digital solutions appropriate to their own patient groups and care pathways.</p><p><strong>Objective: </strong>This paper aims to explain the development of this unique XR Deep Dive program and present the evaluation that informed future directions for its ongoing development.</p><p><strong>Methods: </strong>The Deep Dive sessions were designed according to relevant pedagogic principles, including experiential, active, and contextual learning theories. Voluntary pilot sessions were held for local clinical teams comprised of junior doctors, consultants, nurses, and allied health professionals. Self-selection sampling was used. Participants completed an anonymous postsession feedback form, which was used to conduct a service evaluation. Data were analyzed using descriptive statistics (quantitative) and thematic analysis (qualitative).</p><p><strong>Results: </strong>In total, 21 completed questionnaires were analyzed. Overall, the sessions were positively received: all participants reported increased awareness of the potential for digital health care innovation postsession and most found it useful and relevant to their clinical careers. Participants valued the sessions being grounded in a context relevant to local practice with opportunities to interact with the technology through the lens of use cases.</p><p><strong>Conclusions: </strong>We have developed a unique training initiative providing contextually relevant XR technology awareness training for health care professionals locally. Despite the growing pace of digital health care innovation, we recognized a knowledge gap in our local workforce regarding the potential of XR technologies within health car","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e57361"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maryam Almashmoum, Antony Payton, Emily Johnstone, James Cunningham, John Ainsworth
{"title":"Understanding the Views of Health Care Professionals on the Usability and Utility of Virtual Reality Multidisciplinary Team Meetings: Usability and Utility Study.","authors":"Maryam Almashmoum, Antony Payton, Emily Johnstone, James Cunningham, John Ainsworth","doi":"10.2196/60651","DOIUrl":"10.2196/60651","url":null,"abstract":"<p><strong>Background: </strong>Multidisciplinary team (MDT) meetings are one of the facilitators that enhance knowledge sharing among health care professionals. However, organizing a face-to-face MDT meeting to discuss patient treatment plans can be time-consuming. Virtual reality software is widely used in health care nowadays to save time and protect lives. Therefore, the use of virtual reality multidisciplinary team (VRMDT) meeting software may help enhance knowledge sharing between health care professionals and make meetings more efficient.</p><p><strong>Objective: </strong>The objectives of this study were to introduce VRMDT software for enhancing knowledge sharing and to evaluate the feasibility and usability of the VRMDT for use by professionals in health care institutions.</p><p><strong>Methods: </strong>We invited participants from The University of Manchester Faculty for Biology, Medicine, and Health who had a health care background. As this was the first stage of software development, individuals who did not usually attend MDT meetings were also invited via email to participate in this study. Participants evaluated VRMDT using a Meta Quest 3 headset, and software developed using the Unity platform. The software contained an onboarding tutorial that taught the participants how to select items, load and rotate 3D Digital Imaging and Communications in Medicine files, talk to a generative artificial intelligence-supported avatar, and make notes. After the evaluation (approximately 15 min), participants received an electronic survey using the Qualtrics survey tool (Qualtrics International Inc) to score the usability and feasibility of the software by responding to the 10-item system usability scale, and 12-point heuristic evaluation questions with Neilsen severity rating.</p><p><strong>Results: </strong>A total of 12 participants, including 4 health informatics, 3 with a nursing background, 2 medical doctors, 1 radiologist, and 2 biostatisticians, participated in the study. The most common age bracket of participants was 20-30 years (6/12, 50%). Most of the respondents had no experience with virtual reality, either in educational or entertainment settings. The VRMDT received a mean usability score of 72.7 (range between 68 and 80.3), earning an overall \"good\" rating grade. The mean score of single items in the heuristic evaluation questionnaires was less than 1 out of 4 (the overall mean was 0.6), which indicates that only minor problems were encountered when using this software. Overall, the participant's feedback was good with highlighted issues including a poor internet connection and the quality of the generative artificial intelligence response.</p><p><strong>Conclusions: </strong>VRMDT software (developed by Sentira<sup>XR</sup>) was developed with several functions aimed at helping health care professionals to discuss medical conditions efficiently. Participants found that the VRMDT is a powerful, and useful tool for enhancing knowl","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e60651"},"PeriodicalIF":1.8,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12671323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rayan E Harari, Sara L Schulwolf, Paulo Borges, Hamid Salmani, Farhang Hosseini, Shannon K T Bailey, Brian Quach, Eric Nohelty, Sandra Park, Yash Verma, Eric Goralnick, Scott A Goldberg, Hamid Shokoohi, Roger D Dias, Andrew Eyre
{"title":"Applications of Augmented Reality for Prehospital Emergency Care: Systematic Review of Randomized Controlled Trials.","authors":"Rayan E Harari, Sara L Schulwolf, Paulo Borges, Hamid Salmani, Farhang Hosseini, Shannon K T Bailey, Brian Quach, Eric Nohelty, Sandra Park, Yash Verma, Eric Goralnick, Scott A Goldberg, Hamid Shokoohi, Roger D Dias, Andrew Eyre","doi":"10.2196/66222","DOIUrl":"10.2196/66222","url":null,"abstract":"<p><strong>Background: </strong>Delivering high-quality prehospital emergency care remains challenging, especially in resource-limited settings where real-time clinical decision support is limited. Augmented reality (AR) has emerged as a promising health care technology, offering potential solutions to enhance decision-making, care processes, and emergency medical service (EMS) training.</p><p><strong>Objective: </strong>This systematic review assesses the effectiveness of AR in improving clinical decision-making, care delivery, and educational outcomes for EMS providers.</p><p><strong>Methods: </strong>We searched databases including PubMed, Cochrane CENTRAL, Web of Science, Institute of Electrical and Electronics Engineers (IEEE), Embase, PsycInfo, and Association for Computing Machinery (ACM). Studies were selected based on their focus on AR in prehospital care. A total of 14 randomized controlled trials were selected from an initial screening of 2081 manuscripts. Included studies focused on AR use by EMS personnel, examining clinical and educational impacts. Data such as study demographics, intervention type, outcomes, and methodologies were extracted using a standardized form. Primary outcomes assessed included clinical task accuracy, response times, and training efficacy. A narrative synthesis was conducted, and bias was evaluated using Cochrane's risk of bias tool. Improvements in AR-assisted interventions and their limitations were analyzed.</p><p><strong>Results: </strong>AR significantly improved clinical decision-making accuracy and EMS training outcomes, reducing response times in simulations and real-world applications. However, small sample sizes and challenges in integrating AR into workflows limit the generalizability of the findings.</p><p><strong>Conclusions: </strong>AR holds promise for transforming prehospital care by enhancing real-time decision-making and EMS training. Future research should address technological integration and scalability to fully realize AR's potential in EMS.</p>","PeriodicalId":521138,"journal":{"name":"JMIR XR and spatial computing","volume":"2 ","pages":"e66222"},"PeriodicalIF":1.8,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13202509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148045001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}