[Simulators and other tools in orthopedic-trauma surgery training]. / Simulatoren und andere Hilfsmittel in der orthopädisch-unfallchirurgischen Weiterbildung.

INTRODUCTION: The classic paradigm of "learning on the patient in the operating room" is more and more in conflict with the growing requirements of cost-efficient work and patient safety. With the technology available today for simulator systems, the accessibility of digital tools and the development of a metaverse as a digital meeting place result in various application scenarios and alternatives to classic orthopedic training. SIMULATORS: First VR-desktop simulations in orthopedics and traumatology were developed more than 20 years ago. VR-desktop simulators consist of a computer with a video screen and a joint model. Different instruments can be paired with this system and allow haptic feedback. With innovative software, numerous training programs can be selected, and the user receives precise feedback on their performance. Immersive VR simulators have also played an increasingly important role in recent years. OTHER DIGITAL TOOLS: The use of digital media such as audio and video podcasts as learning and information sources increased in the context of COVID-19. There is also an increasing number of orthopedic and trauma surgery topics on social media platforms. In all fields, however, there is a risk of the spread of misinformation. A quality standard must be maintained. EFFECTIVENESS AND UTILITY OF THE TRAINING: In order to evaluate simulators and their value as a training tool, it is important to comply with various validity criteria. Transfer validity plays an essential role for clinical application. Various studies demonstrate that the skills learned on simulators can also be successfully transferred to real clinical scenarios. DISCUSSION: A lack of availability, costs and high effort are limitations of classic training methods. In contrast, there are versatile use cases of VR-based simulations that are individually adapted to the trainees and cannot endanger patients. The still high acquisition costs, technical obstacles and the not yet widespread availability are limiting factors. The metaverse still offers unimaginable possibilities today to transfer VR-based applications to experimental learning methods.

Telehealth and Speech Therapy: usability assessment of an orientation and prevention program of orofacial myofunctional changes, during the COVID-19 pandemic.

PURPOSE: To assess the effect of an virtual speech-language orientation program, as well as the prevention of orofacial myofunctional alterations. METHODS: Fifty-five volunteer residents aged between 18 and 50 years of age residents of Federal District participated in the study, 14 men and 41 women with an average of 28. The orientation program was divided into five stages (1) The preparation of material to be used in the orientation program, (2) The completion of a semi-structured questionnaire made available through Google Forms, (3) Completion of a pre-orientation program questionnaire, (4) utilization of the speech therapy orientation program, (5) Completion of the post-orientation program questionnaire. To analyze the results the McNemar statistical test was used considering the absolute frequency (N), enabling comparison through a paired sample. The significance level adopted was 5%. RESULTS: Statistically significant differences were seen in 10 of the 19 questions asked in the pre and post-orientation program questionnaires, proving the effect of the orientation program and improvement in participants' knowledge. In addition the participants were satisfied with the program and the content. CONCLUSION: The orientation program focused on health promotion and prevention of orofacial myofunctional alterations and combined with telehealth brought significant changes to the reality of the participants, favoring the quality of life of these individuals and changing their reality.

MVIP: multi-omics portal of viral infection.

Virus infections are huge threats to living organisms and cause many diseases, such as COVID-19 caused by SARS-CoV-2, which has led to millions of deaths. To develop effective strategies to control viral infection, we need to understand its molecular events in host cells. Virus related functional genomic datasets are growing rapidly, however, an integrative platform for systematically investigating host responses to viruses is missing. Here, we developed a user-friendly multi-omics portal of viral infection named as MVIP (https://mvip.whu.edu.cn/). We manually collected available high-throughput sequencing data under viral infection, and unified their detailed metadata including virus, host species, infection time, assay, and target, etc. We processed multi-layered omics data of more than 4900 viral infected samples from 77 viruses and 33 host species with standard pipelines, including RNA-seq, ChIP-seq, and CLIP-seq, etc. In addition, we integrated these genome-wide signals into customized genome browsers, and developed multiple dynamic charts to exhibit the information, such as time-course dynamic and differential gene expression profiles, alternative splicing changes and enriched GO/KEGG terms. Furthermore, we implemented several tools for efficiently mining the virus-host interactions by virus, host and genes. MVIP would help users to retrieve large-scale functional information and promote the understanding of virus-host interactions.

A Novel Metaphor Graph Drawing Method for Multidimensional Data Visualisation and Its Case Study on COVID-19 Vaccination Analysis.

Visualisation techniques have been one of the best data processing and analysis methods in recent decades, and they have assisted in data understanding efforts in various fields. Visualisation techniques for low-dimensional data are well developed and applied in multiple sectors; however, multidimensional data visualisation techniques still present some limitations, such as inaccurate data comparison and perception, exaggerated visual differences, label occlusion, and overlap. This study addresses the pros and cons and proposes a novel graphical drawing method, the multidimensional rose chart. It adopts the design idea of the Nightingale rose chart, but overcomes relevant limitations. The main challenges of this area include the incomplete presentation of multidimensional data, the neglect of the linkage of multiple attributes, the inefficient use of space, and the lack of simplicity of the interface. Contributions include enriching the representations of multidimensional data through the use of colour shades, area, and height sizes to represent values; straightforward data attribute comparisons via graph nesting; and detailed attributes showing the use of specific value labels. To verify the preliminary validity of this method, we imported COVID-19 data into experiments and further compared the final layouts with traditional methods, such as the line chart, bar chart, tree, parallel coordinate chart, and Nightingale rose chart, as well as their structures, functionalities, clear advantages, and disadvantages. The experimental results show that multidimensional rose diagrams perform effectively in presenting multidimensional data when comparing other graph drawing methods in our case, and the outcomes match existing works' conclusions in related COVID-19 research sectors. This work has the potential to provide a suitable supplemental approach to the multidimensional data analysis.

Impact of Human Disasters and COVID-19 Pandemic on Mental Health: Potential of Digital Psychiatry.

Deep emotional traumas in societies overwhelmed by large-scale human disasters, like, global pandemic diseases, natural disasters, man-made tragedies, war conflicts, social crises, etc., can cause massive stress-related disorders. Motivated by the ongoing global coronavirus pandemic, the article provides an overview of scientific evidence regarding adverse impact of diverse human disasters on mental health in afflicted groups and societies. Following this broader context, psychosocial impact of COVID-19 as a specific global human disaster is presented, with an emphasis on disturbing mental health aspects of the ongoing pandemic. Limited resources of mental health services in a number of countries around the world are illustrated, which will be further stretched by the forthcoming increase in demand for mental health services due to the global COVID-19 pandemic. Mental health challenges are particularly important for the Republic of Croatia in the current situation, due to disturbing stress of the 2020 Zagreb earthquake and the high pre-pandemic prevalence of chronic Homeland-War-related posttraumatic stress disorders. Comprehensive approach based on digital psychiatry is proposed to address the lack of access to psychiatric services, which includes artificial intelligence, telepsychiatry and an array of new technologies, like internet-based computer-aided mental health tools and services. These tools and means should be utilized as an important part of the whole package of measures to mitigate negative mental health effects of the global coronavirus pandemic. Our scientific and engineering experiences in the design and development of digital tools and means in mitigation of stress-related disorders and assessment of stress resilience are presented. Croatian initiative on enhancement of interdisciplinary research of psychiatrists, psychologists and computer scientists on the national and EU level is important in addressing pressing mental health concerns related to the ongoing pandemic and similar human disasters.

Interval assessment using task- and procedure-based simulations: an attempt to supplement neurosurgical residency curriculum.

OBJECTIVE: The longer learning curve and smaller margin of error make nontraditional, or "out of operating room" simulation training, essential in neurosurgery. In this study, the authors propose an evaluation system for residents combining both task-based and procedure-based exercises and also present the perception of residents regarding its utility. METHODS: Residents were evaluated using a combination of task-based and virtual reality (VR)-based exercises. The results were analyzed in terms of the seniority of the residents as well as their laboratory credits. Questionnaire-based feedback was sought from the residents regarding the utility of this evaluation system incorporating the VR-based exercises. RESULTS: A total of 35 residents were included in this study and were divided into 3 groups according to seniority. There were 11 residents in groups 1 and 3 and 13 residents in group 2. On the overall assessment of microsuturing skills including both 4-0 and 10-0 microsuturing, the suturing skills of groups 2 and 3 were observed to be better than those of group 1 (p = 0.0014). Additionally, it was found that microsuturing scores improved significantly with the increasing laboratory credits (R2 = 0.72, p < 0.001), and this was found to be the most significant for group 1 residents (R2 = 0.85, p < 0.001). Group 3 residents performed significantly better than the other two groups in both straight (p = 0.02) and diagonal (p = 0.042) ring transfer tasks, but there was no significant difference between group 1 and group 2 residents (p = 0.35). Endoscopic evaluation points were also found to be positively correlated with previous laboratory training (p = 0.002); however, for the individual seniority groups, the correlation failed to reach statistical significance. The 3 seniority groups performed similarly in the cranial and spinal VR modules. Group 3 residents showed significant disagreement with the utility of the VR platform for improving surgical dexterity (p = 0.027) and improving the understanding of surgical procedures (p = 0.034). Similarly, there was greater disagreement for VR-based evaluation to identify target areas of improvement among the senior residents (groups 2 and 3), but it did not reach statistical significance (p = 0.194). CONCLUSIONS: The combination of task- and procedure-based assessment of trainees using physical and VR simulation models can supplement the existing neurosurgery curriculum. The currently available VR-based simulations are useful in the early years of training, but they need significant improvement to offer beneficial learning opportunities to senior trainees.

Remote synchronous usability testing of public access defibrillators during social distancing in a pandemic.

Public access automated external defibrillators (AEDs) represent emergency medical devices that may be used by untrained lay-persons in a life-critical event. As such their usability must be confirmed through simulation testing. In 2020 the novel coronavirus caused a global pandemic. In order to reduce the spread of the virus, many restrictions such as social distancing and travel bans were enforced. Usability testing of AEDs is typically conducted in-person, but due to these restrictions, other usability solutions must be investigated. Two studies were conducted, each with 18 participants: (1) an in-person usability study of an AED conducted in an office space, and (2) a synchronous remote usability study of the same AED conducted using video conferencing software. Key metrics associated with AED use, such as time to turn on, time to place pads and time to deliver a shock, were assessed in both studies. There was no difference in time taken to turn the AED on in the in-person study compared to the remote study, but the time to place electrode pads and to deliver a shock were significantly lower in the in-person study than in the remote study. Overall, the results of this study indicate that remote user testing of public access defibrillators may be appropriate in formative usability studies for determining understanding of the user interface.

Extended Reality "X-Reality" for Prosthesis Training of Upper-Limb Amputees: A Review on Current and Future Clinical Potential.

The rejection rates of upper-limb prosthetic devices in adults are high, currently averaging 26% and 23% for body-powered and electric devices, respectively. While many factors influence acceptance, prosthesis training methods relying on novel virtual reality systems have been cited as a critical factor capable of increasing the likelihood of long-term, full-time use. Despite that, these implementations have not yet garnered widespread traction in the clinical setting, and their use remains immaterial. This review aims to explore the reasons behind this situation by identifying trends in existing research that seek to advance Extended Reality "X-Reality" systems for the sake of upper-limb prosthesis rehabilitation and, secondly, analyzing barriers and presenting potential pathways to deployment for successful adoption in the future. The search yielded 42 research papers that were divided into two categories. The first category included articles that focused on the technical aspect of virtual prosthesis training. Articles in the second category utilize user evaluation procedures to ensure applicability in a clinical environment. The review showed that 75% of articles that conducted whole system testing experimented with non-immersive virtual systems. Furthermore, there is a shortage of experiments performed with amputee subjects. From the large-scale studies analyzed, 71% of those recruited solely non-disabled participants. This paper shows that X-Reality technologies for prosthesis rehabilitation of upper-limb amputees carry significant benefits. Nevertheless, much still must be done so that the technology reaches widespread clinical use.

Health Information Systems Adaptation and Flexibility in Extreme Situations: The COVID Effect.

In 2020, a pandemic forced the entire world to adapt to a new scenario. The objective of this study was to know how Health Information Systems were adapted driven by the pandemic of COVID. 12 CIOS of healthcare organizations were interviewed and the interviews were classified according to the dimensions of a sociotechnical model: Infrastructure, Clinical Content, Human Computer Interface, People, Workflow and Communication, Organizational Characteristics and Internal Policies, Regulations, and Measurement and Monitoring. Adaptation to the Pandemic involved social, organizational and cultural rather than merely technical aspects in private organizations with mature and stable Health Information Systems.

Remote Usability Testing to Facilitate the Continuation of Research.

Usability testing has historically been an in-person activity where test participants and evaluation researchers are co-located. Recruiting participants into usability studies can be a challenging endeavor especially when potential participants are concerned about time commitments and social distancing. The global COVID-19 pandemic has driven the development of remote usability testing methods. In this paper, we describe remote usability testing as it evolved during a pre-pandemic research study. We adapted our in-person usability evaluation methodology for a commercially available mHealth app to a remote usability testing methodology to accommodate potential participants during a more convenient participant-identified time. In doing so we met the needs, preferences, and availability of our participants and maintained research progress. Adapting to patient-centered needs through remote usability testing has the potential to facilitate continued research and engage potential participants due to its convenience, flexibility, and decrease constraints presented by geographic limits.

Evaluating Usability of Telehealth Sehhaty Application Used in Saudi Arabia During Covid-19.

Telehealth services were made available in the Kingdom of Saudi Arabia through a number of different mobile applications, one of which is the Sehhaty application. Studies are needed to evaluate how consumers are perceiving these services, during the COVID-19 pandemic. This study aims to measure consumers' satisfaction with telehealth services provided by the Sehhaty application and to compare the results to other countries using similar telehealth services. The telehealth usability questionnaire (TUQ) tool was used to construct an online survey to gather consumers' usability assessment and measure satisfaction. The study provides strong evidence that Sehhaty application has a high acceptance rate among users with 76.36% overall satisfaction. Although, 44.34% of participants liked using Sehhaty application, a total of 68.87% participants prefers in-person visits. As a result, more studies need to be conducted to identify factors affecting satisfaction levels for Sehhaty telehealth solutions by the public.

Real-time infection prediction with wearable physiological monitoring and AI to aid military workforce readiness during COVID-19.

Infectious threats, like the COVID-19 pandemic, hinder maintenance of a productive and healthy workforce. If subtle physiological changes precede overt illness, then proactive isolation and testing can reduce labor force impacts. This study hypothesized that an early infection warning service based on wearable physiological monitoring and predictive models created with machine learning could be developed and deployed. We developed a prototype tool, first deployed June 23, 2020, that delivered continuously updated scores of infection risk for SARS-CoV-2 through April 8, 2021. Data were acquired from 9381 United States Department of Defense (US DoD) personnel wearing Garmin and Oura devices, totaling 599,174 user-days of service and 201 million hours of data. There were 491 COVID-19 positive cases. A predictive algorithm identified infection before diagnostic testing with an AUC of 0.82. Barriers to implementation included adequate data capture (at least 48% data was needed) and delays in data transmission. We observe increased risk scores as early as 6 days prior to diagnostic testing (2.3 days average). This study showed feasibility of a real-time risk prediction score to minimize workforce impacts of infection.

Virtual Coaching for Rehabilitation: The Participatory Design Experience of the vCare Project.

End-user involvement constitutes an essential goal during the development of innovative solution, not only for the evaluation, but also in codesign, following a user-centered strategy. Indeed, it is a great asset of research to base the work in a user-centered approach, because it allows to build a platform that will respond to the real needs of users. The aims of this work are to present the methodology adopted to involve end-users (i.e., neurological patients, healthy elderly, and health professionals) in the evaluation of a novel virtual coaching system based on the personalized clinical pathways and to present the results obtained from these preliminary activities. Specific activities involving end-users were planned along the development phases and are referred to as participatory design. The user experience of participatory design is constituted by the two different phases: the "end-user's perspective" phase where the user involvement in experiential activities is from an observational point of view, whereas the "field study" phase is the direct participation in these activities. Evaluation tools (i.e., scales, questionnaires, and interviews) were planned to assess different aspects of the system. Thirty patients [14 with poststroke condition and 16 with Parkinson's disease (PD)], 13 healthy elderly, and six health professionals were enrolled from two clinical centers during the two phases of participatory design. Results from "end-user's perspective" phase showed globally a positive preliminary perception of the service. Overall, a positive evaluation (i.e., UEQ median score > 1) was obtained for each domain of the scale in both groups of patients and healthy subjects. The evaluation of the vCare system during the "field study" phase was assessed as excellent (>80 points) from the point of view of both patients and health professionals. According to the majority of patients, the rehabilitation service through the solution was reported to be interesting, engaging, entertaining, challenging and useful for improving impaired motor functions, and making patients aware of their cognitive abilities. Once refined and fine-tuned in the aspects highlighted in the this work, the system will be clinically tested at user's home to measure the real impact of the rehabilitative coaching services.

Scaling virtual health at the epicentre of coronavirus disease 2019: A case study from NYU Langone Health.

The coronavirus disease 2019 (COVID-19) pandemic has accelerated the drive of health-care delivery towards virtual-care platforms. While the potential of virtual care is significant, there are challenges to the implementation and scalability of virtual care as a platform, and health-care organisations are at risk of building and deploying non-strategic, costly or unsustainable virtual-health systems. In this article, we share the NYU Langone Health enterprise approach to building and scaling an integrated virtual-health platform prior to and during the COVID-19 pandemic, and offer lessons learned and recommendations for health systems that need to undertake or are currently undertaking the transition to virtual-care delivery.

Adapt-Kcr: a novel deep learning framework for accurate prediction of lysine crotonylation sites based on learning embedding features and attention architecture.

Protein lysine crotonylation (Kcr) is an important type of posttranslational modification that is associated with a wide range of biological processes. The identification of Kcr sites is critical to better understanding their functional mechanisms. However, the existing experimental techniques for detecting Kcr sites are cost-ineffective, to a great need for new computational methods to address this problem. We here describe Adapt-Kcr, an advanced deep learning model that utilizes adaptive embedding and is based on a convolutional neural network together with a bidirectional long short-term memory network and attention architecture. On the independent testing set, Adapt-Kcr outperformed the current state-of-the-art Kcr prediction model, with an improvement of 3.2% in accuracy and 1.9% in the area under the receiver operating characteristic curve. Compared to other Kcr models, Adapt-Kcr additionally had a more robust ability to distinguish between crotonylation and other lysine modifications. Another model (Adapt-ST) was trained to predict phosphorylation sites in SARS-CoV-2, and outperformed the equivalent state-of-the-art phosphorylation site prediction model. These results indicate that self-adaptive embedding features perform better than handcrafted features in capturing discriminative information; when used in attention architecture, this could be an effective way of identifying protein Kcr sites. Together, our Adapt framework (including learning embedding features and attention architecture) has a strong potential for prediction of other protein posttranslational modification sites.