Undergraduate Senior Nursing Students' Perceptions of Beneficial Prebriefing Practices.

Background: Examining nursing students' perceptions of prebriefing and what components are most effective in preparation for simulation may help standardize prebriefing and enhance learning experiences.

Method: This qualitative descriptive study explored the perceptions of prebriefing, prework assignments, and what methods of prebriefing increased self-confidence when undergraduate nursing students participated in simulation. An inductive approach to content analysis was used to interpret the data.

Innovative Insights: Teaching Best Debriefing Practices Through Debriefing the Debrief.

Background: Debriefing is essential in nursing education, aiding self-reflection and knowledge comprehension. Following the International Nursing Association for Clinical Simulation and Learning Standards of Best Practice for Debriefing is key in promoting self-awareness and achieving learning objectives. Nurse educator students must practice designing, prebriefing, facilitating, and debriefing simulations to identify areas for improvement.

Integrating Artificial Intelligence (AI) Simulations Into Undergraduate Nursing Education: An Evolving AI Patient.

Utilizing an evolving artificial intelligence (AI) virtual patient that will age with students as they progress throughout the nursing program is an innovative use of simulation. The students are introduced to the AI patient as sophomores where they begin with basic patient interviewing and assessment skills. They revisit the AI patient as juniors and seniors in their medical-surgical courses, where they see the patient aging and developing complex medical conditions.

Development of Telemedicine Simulations Addressing Social Determinants of Health.

Background: Five telemedicine simulations were created during the coronavirus disease 2019 (COVID-19) pandemic to elucidate implicit biases and enhance awareness of social determinants of health among nursing students. Social determinants affect overall health, functioning, and quality-of-life outcomes and risks. Implicit biases are related to patient-provider interactions, treatment decisions and adherence, and ultimately patient health outcomes.