Rune Overgaard Jensen

Objectives: Using virtual reality (VR), students of radiography can practice acquisition and positioning of musculoskeletal radiographs and get immediate feedback on their performance within the simulator. The purpose of this study was to assess usability of a newly developed VR simulator and to explore self-perceived clinical readiness (SPCR) of radiography students before and after training acquisition of wrist radiographs in the VR simulator. Material and Methods: A prospective methodology was applied where the students (n = 10) estimated their own SPCR in regard to acquisition of wrist radiographs pre- and post-VR training. A questionnaire on usability, realism, and educational value of the simulator was answered post-VR training. Usability and SPCR scores were calculated. The student’s paired t-test was applied to explore the impact of VR training on SPCR. Results: The students (90%) reported that the simulator was realistic and they thought that it could contribute to learning. The pre- and post-SPCR scores were 75 (95% confidence interval [CI]: 54–96) and 77 (95% CI: 59–95), respectively. There was no significant difference (P = 0.4574) between the pre- and post-SPCR scores. Conclusion: Results indicated that the concept of training acquisition and positioning of wrist radiographs in a VR simulator is feasible with positive feedback from the students. The SPCR scores improved slightly, although not statistically significant, after completion of the training session.

Summary Statement: Simulation-based training using virtual reality head-mounted displays (VR-HMD) is increasingly being used within the field of medical education. This article systematically reviews and appraises the quality of the literature on the use of VR-HMDs in medical education. A search in the databases PubMed/MEDLINE, Embase, ERIC, Scopus, Web of Science, Cochrane Library, and PsychINFO was carried out. Studies were screened according to predefined exclusion criteria, and quality was assessed using the Medical Education Research Study Quality Instrument. In total, 41 articles were included and thematically divided into 5 groups: anatomy, procedural skills, surgical procedures, communication skills, and clinical decision making. Participants highly appreciated using VR-HMD and rated it better than most other training methods. Virtual reality head-mounted display outperformed traditional methods of learning surgical procedures. Although VR-HMD showed promising results when learning anatomy, it was not considered better than other available study materials. No conclusive findings could be synthesized regarding the remaining 3 groups.

The primary aim was to evaluate the effect of immersive virtual reality learning for training medical students in basic clinical ultrasound. Secondary outcomes were to explore if virtual reality learning had an effect on hand-eye coordination skills and if the medical students wanted more virtual reality learning. This pilot study was a double-blind, parallel-group, block-randomized, controlled trial. Participants (n = 20) were blinded and randomized to virtual reality or e-learning for basic ultrasound education. Medical students with no previous ultrasound education were recruited voluntarily from the University of Southern Denmark. Data were collected during introductory courses on ultrasound from March to May 2019. Participants were assessed with Objective Structured Assessment on Ultrasound Skills. Assessing supervisors were blinded. The virtual reality group (n = 11) scored a significantly higher Objective Structured Assessment on Ultrasound Skills score (143 [95% confidence interval {CI}, 135 to 151]) compared with the e-learning group (n = 9; 126 [95% CI, 113 to 138]; mean difference, 17 points [95% CI, 4 to 30]; P < 0.01). No significant effect on the hand-eye score was found (mean difference, 3 points [95 % CI, −3 to 9]; P = 0.32). Ninety-one percent of the virtual reality group wanted more virtual reality learning. Immersive virtual reality learning improved medical students’ ultrasound skills significantly compared with e-learning. The hand-eye score was higher in the virtual reality group, although not at a significant level. Students wanted more virtual reality learning. Further research is needed to clarify immersive virtual reality's educational role in the future.

The patient was offered a second CT-scan of the entire abdomen to get a full urinary overview. The supernumerary kidney was found at the L5 level, shown in figure 1. The right-sided supernumerary kidney measured 6×3.8×5 cm, the native kidney 7.1×4.7×4.1 cm, while the left kidney was normal in size, measuring 11×5×5 cm. The parenchyma and location (L1–L2) for the left kidney was deemed normal as well. The two fully separated right-sided kidneys each had a separate ureter. The ureter from the native kidney fused with the renal pelvis of the supernumerary kidney, resulting in a single ureter connecting to the bladder. The CT scan also showed a 3 mm renal calculus in the middle calyx of the left kidney.

Purpose Abstract To determine the validity of the Australian clinical prediction tool Criteria for Screening and Triaging to Appropriate aLternative care (CRISTAL) based on objective clinical criteria to accurately identify risk of death within 3 months of admission among older patients. Methods Prospective study of ≥ 65 year-olds presenting at emergency departments in five Australian (Aus) and four Danish (DK) hospitals. Logistic regression analysis was used to model factors for death prediction; Sensitivity, specificity, area under the ROC curve and calibration with bootstrapping techniques were used to describe predictive accuracy. Results 2493 patients, with median age 78–80 years (DK–Aus). The deceased had significantly higher mean CriSTAL with Australian mean of 8.1 (95% CI 7.7–8.6 vs. 5.8 95% CI 5.6–5.9) and Danish mean 7.1 (95% CI 6.6–7.5 vs. 5.5 95% CI 5.4–5.6). The model with Fried Frailty score was optimal for the Australian cohort but prediction with the Clinical Frailty Scale (CFS) was also good (AUROC 0.825 and 0.81, respectively). Values for the Danish cohort were AUROC 0.764 with Fried and 0.794 using CFS. The most significant independent predictors of short-term death in both cohorts were advanced malignancy, frailty, male gender and advanced age. CriSTAL’s accuracy was only modest for in-hospital death prediction in either setting. Conclusions The modified CriSTAL tool (with CFS instead of Fried’s frailty instrument) has good discriminant power to improve prognostic certainty of short-term mortality for ED physicians in both health systems. This shows promise in enhancing clinician’s confidence in initiating earlier end-of-life discussions.