The Effect of a Sepsis Interprofessional Education Using Virtual Patient Telesimulation on Sepsis Team Care in Clinical Practice: Mixed Methods Study

Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education

The impact of artificial intelligence (AI) will be felt not only in the arena of patient care and deliverable therapies but will also be uniquely disruptive in medical education and healthcare simulation (HCS), in particular. As HCS is intertwined with computer technology, it offers opportunities for rapid scalability with AI and, therefore, will be the most practical place to test new AI applications. This will ensure the acquisition of AI literacy for graduates from the country's various healthcare professional schools. Artificial intelligence has proven to be a useful adjunct in developing interprofessional education and team and leadership skills assessments. Outcome-driven medical simulation has been extensively used to train students in image-centric disciplines such as radiology, ultrasound, echocardiography, and pathology. Allowing students and trainees in healthcare to first apply diagnostic decision support systems (DDSS) under simulated conditions leads to improved diagnostic accuracy, enhanced communication with patients, safer triage decisions, and improved outcomes from rapid response teams. However, the issue of bias, hallucinations, and the uncertainty of emergent properties may undermine the faith of healthcare professionals as they see AI systems deployed in the clinical setting and participating in diagnostic judgments. Also, the demands of ensuring AI literacy in our healthcare professional curricula will place burdens on simulation assets and faculty to adapt to a rapidly changing technological landscape. Nevertheless, the introduction of AI will place increased emphasis on virtual reality platforms, thereby improving the availability of self-directed learning and making it available 24/7, along with uniquely personalized evaluations and customized coaching. Yet, caution must be exercised concerning AI, especially as society's earlier, delayed, and muted responses to the inherent dangers of social media raise serious questions about whether the American government and its citizenry can anticipate the security and privacy guardrails that need to be in place to protect our healthcare practitioners, medical students, and patients.

Multiuser immersive virtual reality simulation for interprofessional sepsis recognition and management

INTRODUCTION

Sepsis is a leading cause of pediatric mortality. While there has been significant effort toward improving adherence to evidence-based care, gaps remain. Immersive multiuser virtual reality (MUVR) simulation may be an approach to enhance provider clinical competency and situation awareness for sepsis.

METHODS

A prospective, observational pilot of an interprofessional MUVR simulation assessing a decompensating patient from sepsis was conducted from January to June 2021. The study objective was to establish validity and acceptability evidence for the platform by assessing differences in sepsis recognition between experienced and novice participants. Interprofessional teams assessed and managed a patient together in the same VR experience with the primary outcome of time to recognition of sepsis utilizing the Situation Awareness Global Assessment Technique analyzed using a logistic regression model. Secondary outcomes were perceived clinical accuracy, relevancy to practice, and side effects experienced.

RESULTS

Seventy-two simulations included 144 participants. The cumulative odds ratio of recognizing sepsis at 2 min into the simulation in comparison to later time points by experienced versus novice providers were significantly higher with a cumulative odds ratio of 3.70 (95% confidence interval: 1.15-9.07, p = .004). Participants agreed that the simulation was clinically accurate (98.6%) and will impact their practice (81.1%), with a high degree of immersion (95.7%-99.3%), and the majority of side effects were perceived as mild (70.4%-81.4%).

CONCLUSIONS

Our novel MUVR simulation demonstrated significant differences in sepsis recognition between experienced and novice participants. This validity evidence along with the data on the simulation's acceptability supports expanded use in training and assessment.

Nursing students' perspectives and learning experiences of participating in a palliative and end-of-life care simulation programme: A qualitative study

BACKGROUND

Simulation-based learning has become an integral part of the nursing curriculum, allowing students to acquire clinical knowledge and relevant skills and apply them to real-life clinical encounters. However, little is known about the best practices in palliative and end-of-life care simulations.

OBJECTIVE

To explore the perspectives and learning experiences of undergraduate nursing students participating in a newly developed advanced practice nurse-led palliative and end-of-life care simulation program.

DESIGN

A descriptive qualitative study based on focus group discussions.

SETTINGS

A healthcare simulation centre at a university in Singapore.

PARTICIPANTS

A purposive sample of 75 third-year undergraduate nursing students who had attended a palliative and end-of-life care simulation program.

METHODS

Eight face-to-face focus group discussions were conducted and audio recorded. Data were analysed using inductive thematic analysis.

RESULTS

Four themes encompassing 12 subthemes were derived: (1) Patient, family and caregiver needs during palliative and end-of-life care, (2) Nursing competencies in palliative and end-of-life care, (3) Experience of palliative and end-of-life care simulations and (4) Suggestions for future palliative and end-of-life simulations. The students expressed their support for including advanced practice nurses as facilitators and suggested the use of other simulation modalities such as virtual simulations to enable the participation of all students and provide a wider range of simulated scenarios.

CONCLUSIONS

Simulation-based learning plays a crucial role in the palliative care curriculum. Clinical experts should be involved as facilitators to provide essential insights. It is also vital to consider students' prior experiences with death and dying, which may positively or negatively influence their palliative and end-of-life care competencies.

RECOMMENDATIONS

Nursing schools should utilise clinical experts and other simulation modalities to improve students' learning experiences, provide more simulation experiences and overcome resource constraints such as limited curriculum time.

Sepsis and Clinical Simulation: What Is New? (and Old)

BACKGROUND

Sepsis is a critical and potentially fatal condition affecting millions worldwide, necessitating early intervention for improved patient outcomes. In recent years, clinical simulation has emerged as a valuable tool for healthcare professionals to learn sepsis management skills and enhance them.

METHODS

This review aims to explore the use of clinical simulation in sepsis education and training, as well as its impact on how healthcare professionals acquire knowledge and skills. We conducted a thorough literature review to identify relevant studies, analyzing them to assess the effectiveness of simulation-based training, types of simulation methods employed, and their influence on patient outcomes.

RESULTS

Simulation-based training has proven effective in enhancing sepsis knowledge, skills, and confidence. Simulation modalities vary from low-fidelity exercises to high-fidelity patient simulations, conducted in diverse settings, including simulation centers, hospitals, and field environments. Importantly, simulation-based training has shown to improve patient outcomes, reducing mortality rates and hospital stays.

CONCLUSION

In summary, clinical simulation is a powerful tool used for improving sepsis education and training, significantly impacting patient outcomes. This article emphasizes the importance of ongoing research in this field to further enhance patient care. The shift toward simulation-based training in healthcare provides a safe, controlled environment for professionals to acquire critical skills, fostering confidence and proficiency when caring for real sepsis patients.

Virtual Adaptation of Empathetic Communication Training for Pediatric Interns

OBJECTIVE

Evaluate feasibility and effectiveness of virtual adaptation of in-person simulation-based empathetic communication training.

METHODS

Pediatric interns participated in virtual training session then completed post-session and 3 months follow up surveys.

RESULTS

Self-reported preparedness on the skills all improved significantly. The interns report the educational value as extremely high both immediately after and 3 months after training. 73% of the interns report using the skills at least weekly.

CONCLUSION

A 1 day virtual simulation-based communication training is feasible, well received, and similarly effective as in-person training.

Artificial Intelligence Versus Human-Controlled Doctor in Virtual Reality Simulation for Sepsis Team Training: Randomized Controlled Study

BACKGROUND

Interprofessional communication is needed to enhance the early recognition and management of patients with sepsis. Preparing medical and nursing students using virtual reality simulation has been shown to be an effective learning approach for sepsis team training. However, its scalability is constrained by unequal cohort sizes between medical and nursing students. An artificial intelligence (AI) medical team member can be implemented in a virtual reality simulation to engage nursing students in sepsis team training.

OBJECTIVE

This study aimed to evaluate the effectiveness of an AI-powered doctor versus a human-controlled doctor in training nursing students for sepsis care and interprofessional communication.

METHODS

A randomized controlled trial study was conducted with 64 nursing students who were randomly assigned to undertake sepsis team training with an AI-powered doctor (AI-powered group) or with medical students using virtual reality simulation (human-controlled group). Participants from both groups were tested on their sepsis and communication performance through simulation-based assessments (posttest). Participants' sepsis knowledge and self-efficacy in interprofessional communication were also evaluated before and after the study interventions.

RESULTS

A total of 32 nursing students from each group completed the simulation-based assessment, sepsis and communication knowledge test, and self-efficacy questionnaire. Compared with the baseline scores, both the AI-powered and human-controlled groups demonstrated significant improvements in communication knowledge (P=.001) and self-efficacy in interprofessional communication (P<.001) in posttest scores. For sepsis care knowledge, a significant improvement in sepsis care knowledge from the baseline was observed in the AI-powered group (P<.001) but not in the human-controlled group (P=.16). Although no significant differences were found in sepsis care performance between the groups (AI-powered group: mean 13.63, SD 4.23, vs human-controlled group: mean 12.75, SD 3.85, P=.39), the AI-powered group (mean 9.06, SD 1.78) had statistically significantly higher sepsis posttest knowledge scores (P=.009) than the human-controlled group (mean 7.75, SD 2.08). No significant differences were found in interprofessional communication performance between the 2 groups (AI-powered group: mean 29.34, SD 8.37, vs human-controlled group: mean 27.06, SD 5.69, P=.21). However, the human-controlled group (mean 69.6, SD 14.4) reported a significantly higher level of self-efficacy in interprofessional communication (P=.008) than the AI-powered group (mean 60.1, SD 13.3).

CONCLUSIONS

Our study suggested that AI-powered doctors are not inferior to human-controlled virtual reality simulations with respect to sepsis care and interprofessional communication performance, which supports the viability of implementing AI-powered doctors to achieve scalability in sepsis team training. Our findings also suggested that future innovations should focus on the sociability of AI-powered doctors to enhance users' interprofessional communication training. Perhaps in the nearer term, future studies should examine how to best blend AI-powered training with human-controlled virtual reality simulation to optimize clinical performance in sepsis care and interprofessional communication.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05953441; https://clinicaltrials.gov/study/NCT05953441.

Telesimulation in healthcare education: A scoping review

OBJECTIVES

To provide a comprehensive overview on the utilization and effectiveness of telesimulation in healthcare education.

DESIGN

A scoping review.

DATA SOURCES

A search of five databases including PubMed, Web of Science, Cochrane, EMBASE and ProQuest was conducted between 2000 and 2022.

REVIEW METHODS

Arksey and O' Malley's scoping review framework was utilised. Data were narratively synthesised.

RESULTS

29 articles were included. More than half of the publications on telesimulation were borne out of need during the COVID-19 pandemic. Innovation reports were the most prevalent publications followed by descriptive studies. Telesimulation was applied for the delivery of diverse learning content including patient care management, procedural skills and team training. A variety of videoconferencing software and simulation modalities have been used for telesimulation. Telesimulation was generally well-received, despite its technical challenges. Learning effectiveness of telesimulation was evident in quasi-experimental studies.

CONCLUSION

Telesimulation has been gaining acceptance as a distance-based simulation education modality. It will continue to evolve and potentially blend with in-person simulation. More rigorous research is warranted to evaluate learning outcomes and establish best practices in telesimulation.

Exploring lemology teaching with "internet plus" flipped classroom pedagogy

BACKGROUND

To investigate the use of flipped classroom pedagogy based on "Internet plus" in teaching viral hepatitis in the lemology course during the COVID-19 epidemic.

METHODS

This study included students from the clinical medicine general practitioner class at Nanjing Medical University's Kangda College, with the observation group consisting of 67 students from the 2020-2021 school year and the control group consisting of 70 students from the 2019-2020 school year. The observation group used "Internet plus" flipped classroom pedagogy, while the control group used conventional offline instruction. The theory course and case analysis ability scores from the two groups were compared and analyzed, and questionnaire surveys were administered to the observation group.

RESULT

After the flipped classroom, the observation group had significantly higher theoretical test scores (38.62 ± 4.52) and case analysis ability scores (21.08 ± 3.58) than the control group (37.37 ± 2.43) (t = 2.024, P = 0.045) and (19.16 ± 1.15) (t = 4.254, P < 0.001), respectively. The questionnaire survey in the observation group revealed that the "Internet plus" flipped classroom pedagogy approach can help enhance students' enthusiasm to learn, clinical thinking ability, practical application ability, and learning efficiency, with satisfaction rates of 81.7%, 85.0%, 83.3%, and 78.8%, respectively; 89.4% of students expressed hope that whenever physical classes resumed, the offline courses could be combined with this pedagogy approach.

CONCLUSION

The use of the "Internet plus" flipped classroom pedagogy technique for teaching viral hepatitis in a lemology course boosted students' theory learning ability as well as their case analysis ability. The majority of students were pleased with this type of instruction and hoped that whenever physical classes resumed, the offline courses may be integrated with the "Internet plus" flipped classroom pedagogical approach.

Artificial intelligence in virtual reality simulation for interprofessional communication training: Mixed method study

BACKGROUND

Virtual reality simulations are shown to be an effective approach for interprofessional nurse-physician communication training. However, its scalability is constrained by unequal medical-nursing cohort size, rendering a great challenge for all nursing students to form an interprofessional team with medical students. With the evolution of artificial intelligence (AI), an AI medical team player can be integrated into virtual reality simulations for more nursing students to engage in interprofessional team training.

OBJECTIVES

To describe the development of a novel AI-enabled virtual reality simulation (AI-enabled VRS) and to evaluate nursing students' competencies and experiences in communicating with an AI medical doctor.

METHODS

A mixed-methods design using a one-group pretest-posttest design and focus group discussions were employed in the evaluation phase. Nursing students from a university were recruited to undertake the 2-hour AI-enabled VRS. Pre-test and post-tests were administered to evaluate the participants' communication knowledge and self-efficacy. Survey questionnaires were administered to examine their experiences with the virtual reality environment and the AI doctor. Five focus group discussions were conducted to gain deeper insight into their learning experiences.

RESULTS

The participants demonstrated significant improvements in communication knowledge and interprofessional communication self-efficacy after the learning. They reported positively on the acceptability, feasibility and usability of the AI-enabled VRS. The subscale of "human-like" feature of the AI medical doctor was rated the lowest. Three themes surrounding participants' experiences of the virtual learning emerged: "relate to the real world", "artificial intelligence versus human intelligence" and "complement with face-to-face learning".

CONCLUSIONS

This study demonstrates initial evidence on the potential of AI-enabled VRS in fostering nursing students' learning on interprofessional communication skills. The findings have also provided insights on how to improve the AI-enabled VRS, in particular, the expressiveness of the AI pedagogical agent and facilitating more dialogue trainings with learner-agent conversations.

Evaluating Emotional Outcomes of Medical Students in Pediatric Emergency Medicine Telesimulation

The coronavirus disease 2019 (COVID-19) pandemic has challenged the feasibility of traditional in-person simulation-based clinical training due to the public health recommendation on social distancing. During the pandemic, telesimulation training was implemented to avoid multiple students and faculties gathering in confined spaces. While medical trainees' perceived emotions have been acknowledged as a critical outcome of the in-person simulation-based training, the impact of telesimulation on trainees' emotions has been unexamined. We conducted an educational team-based simulation study with a pediatric case of septic shock. Seventeen and twenty-four medical students participated in the telesimulation training and in-person simulation training, respectively. The institutional pandemic social restrictions at the time of each training session determined the participant assignment to either the telesimulation training or in-person simulation training. All participants responded to the Japanese version of the Medical Emotion Scale, which includes 20 items rated on a five-point Likert-type scale before, during, and after the simulation sessions. The measured emotions were categized into four emotion groups according to two dimensions: positive or negative and activating or deactivating emotions. The one-way analysis of variance between the telesimulation and in-person simulation training revealed no significant differences in the emotions perceived by the participants before, during, and after the simulation training sessions. The perceived emotions of medical students were comparable between the telesimulation and in-person simulation training. Further longitudinal studies with larger samples and multiple variables are needed to generalize the effectiveness of telesimulation.