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A simulation scenario is a structured, artificial representation of a real-world event designed to achieve educational objectives through experiential learning. Recent studies demonstrate that scenario-based simulation significantly improves knowledge acquisition, clinical practice skills, and learner confidence, reinforcing its value in healthcare education.[1] A well-designed scenario is especially important when simulation is used for assessment, as participants report greater satisfaction with assessments that incorporate high-quality simulation design.[2] Simulation scenarios are designed to assess and educate learners while helping them identify gaps in their understanding or application of knowledge. Simulation can also address patient safety issues, clinical cases, teamwork opportunities, communication challenges, procedural competencies, and leadership skills. Designing an effective scenario requires careful planning, including understanding the target learners, goals and objectives, intended outcomes, and the learning context, all within a safe, nonjudgmental environment. Knowledge of educational principles, such as Bloom's Taxonomy, which describes the progression from novice to expert, helps develop educational goals. Scenario design must also consider the level of fidelity, use of props, moulage, embedded participants, simulators, and standardized patients.[3] In recent years, advancements in artificial intelligence (AI) have also expanded the capabilities of simulation. These developments enable educators to design more sophisticated scenarios and integrate emerging technologies, such as virtual reality, augmented reality, mixed reality, digital avatars, and holoportation, into simulation-based learning environments. Please refer to these links for more information: Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review, Immersive virtual reality simulation versus screen-based virtual simulation: An examination of learning outcomes in nursing education, and A Case Study in the Creation of Free Digital Avatars as an Embedded Participant Substitute in Simulation-Based Medical Education.

Scenario design must also consider the level of fidelity, use of props, moulage, embedded participants, simulators, and standardized patients.[3] In recent years, advancements in artificial intelligence (AI) have also expanded the capabilities of simulation. These developments enable educators to design more sophisticated scenarios and integrate emerging technologies, such as virtual reality, augmented reality, mixed reality, digital avatars, and holoportation, into simulation-based learning environments. Please refer to these links for more information: Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review, Immersive virtual reality simulation versus screen-based virtual simulation: An examination of learning outcomes in nursing education, and A Case Study in the Creation of Free Digital Avatars as an Embedded Participant Substitute in Simulation-Based Medical Education. The process of designing a scenario for scenario-based e-simulation includes many of the same steps used in developing immersive, in-person simulation scenarios, although several additional factors must be considered. These include digital interface design, opportunities for in-scenario activities such as quizzes or tasks, and predetermined methods for delivering feedback to learners.[4]

A successful simulation scenario requires a clear, concise, and well-organized approach, and typically includes the following elements: Education goals and objectives Intended outcome Critical actions checklist Simulation setup Case narrative Scenario flow diagram with branch points Instructor notes Prebriefing and debriefing plan Additional Steps for Scenario Development Scenario design may begin with a storyboard or a scenario builder template to organize the structure. Simulation scenario design development is typically approached in a stepwise manner, with attention to the intended learners, educational goals and objectives, identified knowledge or skill gaps, level of fidelity, feedback strategies, and planned didactics. An effective educational scenario should be sufficiently challenging to maintain learner engagement without becoming overly difficult or frustrating for participants. Dry runs or rehearsals are essential for successful scenario implementation and help minimize unexpected deviations during the simulation. The integration of AI and digital tools should be considered thoughtfully to enhance design efficiency while maintaining pedagogical integrity. Adequate time for debriefing is critical, as debriefing represents one of the most important components of simulation-based learning. Simulation without debriefing may reinforce errors or misconceptions rather than correct them. Scenarios should also be evaluated using measurable outcomes, and feedback from learners or participants should be used to refine them for future success. Artificial Intelligence and Digital innovation in scenario Design Advancements in AI and large language models are transforming simulation scenario design and have the potential to revolutionize this process.[12] These technologies can support several aspects of scenario development, including: Generating detailed scenario scripts Aligning outputs with established best-practice standards Reducing educator workload while preserving educational rigor AI design tools represent a promising complementary resource, offering support in scenario construction, objective alignment, and iterative refinement of educational content. Nonetheless, concerns persist regarding the accuracy, contextual relevance, and structural coherence of AI-generated content, highlighting the need for rigorous evaluation and sustained human oversight throughout the design process.[13]

AI design tools represent a promising complementary resource, offering support in scenario construction, objective alignment, and iterative refinement of educational content. Nonetheless, concerns persist regarding the accuracy, contextual relevance, and structural coherence of AI-generated content, highlighting the need for rigorous evaluation and sustained human oversight throughout the design process.[13] E-simulation and Virtual Reality Digital platforms expand the reach and fidelity of simulation, creating new and innovative opportunities to engage a new generation of learners and address spatial limitations, particularly in underserved regions or areas lacking dedicated simulation centers. Examples include: Scenario-based e-simulations that provide adaptable and interactive learning experiences delivered remotely.[4] Virtual reality simulation models that support immersive clinical practice with positive educational outcomes.[14] Conclusion The design of effective simulation scenarios is a structured, learner-centered process that supports the development of knowledge, clinical skills, critical thinking, and communication abilities. While recent advances in artificial intelligence have expanded the possibilities for scenario design, core principles such as clearly defined objectives, realistic context, and purposeful debriefing remain essential.

Simulation-based education spans all roles and disciplines in healthcare, including administrative staff, nurses, technicians, administrators, physicians, and institutional leaders such as the chief of staff. A systematic review by Zendejas et al found that simulation-based education is associated with small to moderate improvements in patient outcomes.[15][16]