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.

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.

Desktop Virtual Reality Versus Face-to-Face Simulation for Team-Training on Stress Levels and Performance in Clinical Deterioration: a Randomised Controlled Trial.

BACKGROUND: Simulation-based education can equip healthcare providers with the ability to respond to and manage stressors associated with rapidly deteriorating patient situations. However, little is known about the benefits of using virtual reality (VR) for this purpose. OBJECTIVE: To compare between desktop VR and face-to-face simulation in stress responses and performance outcomes of a team-based simulation training in managing clinical deterioration. DESIGN: A randomised controlled study METHOD: The study was conducted on 120 medical and nursing students working in interprofessional teams. The teams were randomly assigned to participate in a 2-h simulation using either the desktop VR or face-to-face simulation with simulated patient (SP). Biophysiological stress response, psychological stress, and confidence levels were measured before and after the simulation. Performance outcomes were evaluated after the simulation using a deteriorating patient scenario. RESULTS: The systolic blood pressure and psychological stress response were significantly increased among participants in VR and SP groups; however, no significant differences were found between the groups. There was also no significant difference in confidence and performance outcomes between participants in the VR and SP groups for both medical and  nursing students. Although the psychological stress response was negatively correlated (r = -0.43; p < 0.01) with confidence levels, there was no association between stress response and performance score. CONCLUSION: Despite being less immersive, the desktop VR was capable of inducing psychological and physiological stress responses by placing emotional, social, and cognitive demands on learners. Additionally, by ensuring close alignment between the simulation tasks and the clinical tasks (i.e. functional fidelity), the desktop VR may provide similar performance outcomes as conventional simulation training. This evidence is timely given the rise in the use of virtual learning platforms to facilitate training during the COVID-19 pandemic where face-to-face training may not be feasible. TRIAL REGISTRATION: The study was registered at ClinicalTrials.gov NCT04330924.

Effectiveness of an online program using telesimulation for academic-clinical collaboration in preparing nurse preceptors' roles.

AIM: To evaluate the effectiveness of an online program on nurse preceptors' knowledge and self-efficacy in their roles to support students' clinical education, and to examine their online experience. BACKGROUND: Professional development of nurse preceptors is paramount to fostering work readiness of future graduate nurses on entering the workforce. The support from academic institutions in developing preceptors' roles in clinical teaching and assessment is pivotal. DESIGN: This study employed a mixed-methods design. METHOD: A total of 59 nurse preceptors from six healthcare institutions participated in an online preceptor program by collaborating with academic educators in facilitating student clinical learning and assessment through telesimulation following web-based instruction. Pre-test and post-tests were administered to evaluate the preceptors' knowledge and self-efficacy in their roles. Survey questionnaires and focus group discussions were conducted to evaluate their online experience. SQUIRE 2.0 guidelines were applied. RESULTS: The preceptors demonstrated significant improvements (p < .001) in knowledge and levels of self-efficacy in their preceptor roles immediately and 1 month after the program. The following four themes emerged from their learning experiences: 'interactive learning approach', 'academic-practice collaboration', 'better understanding of clinical assessment tool' and 'application of teaching strategies'. The preceptors reported positively on their motivation to learn using the web-based instruction and on their telesimulation experience. CONCLUSION: The study findings demonstrated effectiveness and feasibility of an online preceptor program to enhance preceptors' roles in supporting nursing students' transition to clinical practice, using a mix of web-based technologies to provide preceptors with self-directed and experiential learning approaches. RELEVANCE TO CLINICAL PRACTICE: This study contributed to the development of an innovative online preceptor program that provided opportunity for academic-clinical collaboration and has broad applicability. The telesimulation created robust remote simulation experiences for preceptors, allowing them to collaborate with academic educators in facilitating students' clinical practice amid the COVID-19 pandemic.

Academic-Practice Collaboration Using Virtual Telesimulation to Support Students' Clinical Practice.

BACKGROUND: Collaboration between academic institutions and clinical practice plays an important role in supporting students' learning in clinical practice. A virtual telesimulation was incorporated to provide academic-practice collaboration between academic educators and nurse preceptors to support students' clinical education. PURPOSE: The purpose was to evaluate the experiences of nursing students and academic educators on the perceived impact of virtual telesimulation in clinical education. METHODS: A descriptive qualitative study using focus group discussions was conducted. RESULTS: Four themes emerged: "coming together to know one another" for rapport building, "learning from different perspectives" to foster clinical learning and practice, "application of learning strategy" to stimulate case-based discussion, and "reaching out to more preceptors" to optimize its impact in clinical practice. CONCLUSIONS: Academic-practice collaboration using virtual telesimulation enabled students and academic educators to build rapport with clinical preceptors and learn from other practices, which in turn enhanced students' clinical learning experiences.