Large professional meetings are often read as roadmaps. They signal where a field is headed, what innovations will dominate, and which ideas are poised to gain traction. Conference programs can also be read differently. Before a single keynote is delivered or a workshop convened, the program itself reveals what a community collectively believes to be timely, urgent, and worth our attention. By the time you read this, IMSH 2026 (https://imsh2026.org/program) will have taken place. This editorial was written in advance, using the conference program itself as the primary text rather than the lived experience of the meeting. Read in this way, the program offers a revealing portrait of healthcare simulation at a moment of transition. With nearly 800 sessions, a strong emphasis on emerging technologies, and a theme that invites the field to imagine itself unbound, the IMSH 2026 program does more than showcase innovation. It surfaces deeper questions about maturity, responsibility, and identity that extend beyond any single modality or tool. TECHNOLOGY AS INFRASTRUCTURE, NOT EXPERIMENT Artificial intelligence (AI) is a dominant presence throughout the program. AI appears across curriculum design, assessment, debriefing, simulation operations, virtual avatars, analytics, and scalability. What stands out is not simply the volume of AI-focused content, but the way it is framed. Many sessions no longer ask whether AI should be used. Instead, they focus on integration, optimization, and alignment with existing educational and operational frameworks. This suggests that AI is increasingly treated as infrastructure rather than experimentation. At the same time, this shift raises important tensions. When AI mediates learning experiences, assessment, or feedback, questions of responsibility and educational intent do not disappear, but instead become less visible. The program reflects a field that seems ready to adopt AI at scale, while still negotiating how to maintain epistemic responsibility, validity, and ethical accountability in increasingly automated environments. SIMULATION AS A SYSTEM CAPABILITY Beyond technology, the program places strong emphasis on systems-level integration. Simulation is repeatedly positioned as a mechanism for workforce development, interprofessional coordination, rural and global access, organizational readiness, and competency-based education aligned with accreditation. This framing suggests that simulation is no longer understood primarily as an educational intervention, but as an organizational capability embedded within healthcare systems. This shift brings both opportunity and obligation. When simulation becomes infrastructure, questions of sustainability, governance, and leadership move to the foreground. The program reflects a field increasingly oriented toward system performance and resilience, even as it continues to grapple with how best to operationalize these ambitions. THE PERSISTENT CENTRALITY OF HUMAN WORK Alongside expanding technological capability, there is sustained attention to the human dimensions of simulation practice. Psychological safety, difficult debriefing, leadership, stress, professional identity, and emotional labor appear consistently across the program. This suggests an implicit recognition that automation redistributes, rather than eliminates, human work. As technologies take on greater roles in delivery and interaction, educators are increasingly positioned as stewards, interpreters, and ethical anchors within complex learning environments. The prominence of these themes underscores the continued importance of judgment, relational skill, and contextual sensitivity in simulation practice. ASSESSMENT AND EVIDENCE IN A COMPLEX LANDSCAPE Assessment remains a persistent and unresolved concern. Competency-based education, mastery learning, benchmarking, and analytics feature prominently, yet there is little indication that consensus has been reached. Much of the work instead focuses on frameworks, alignment, and implementation challenges, reflecting the complexity of assessment in increasingly technology-mediated environments. This pattern reflects a field that understands the importance of assessment, but it remains cautious about overclaiming validity in complex, technology-mediated environments. It suggests growing awareness that increased data and sophistication do not automatically translate into clearer judgments about competence or readiness. INDUSTRY AS AN EMBEDDED PARTNER Industry presence is central to the program. Learning laboratories, technology forums, and exhibit-based educational experiences are deeply embedded rather than peripheral. This reflects a more mature and candid relationship between the simulation community and industry partners. At the same time, it raises ongoing questions about agenda setting, evidence standards, and educational independence. These questions are not resolved in the program, but their visibility suggests a field actively negotiating the terms of this relationship. READING THE PROGRAM AS A MIRROR Taken together, the IMSH 2026 program can be read as a mirror of the field at a pivotal moment. It reflects confidence, ambition, and technical sophistication. It also reflects unresolved tensions between scale and quality, automation and responsibility, and innovation and stewardship. What is less visible may be as important as what is emphasized, including deeper ethical analysis, long-term outcomes, and explicit engagement with unintended consequences. Although the IMSH 2026 program cannot predict the future of simulation, it does paint a striking picture of where our attention as a community is currently focused. As simulation becomes increasingly unbound technologically, the responsibility of the field is not simply to innovate but to decide deliberately what it will remain bound to. Educational purpose, ethical responsibility, and system level accountability must be articulated, defended, and studied with the same rigor that we now apply to technological development. I see this moment as a call for scholarship that moves beyond feasibility and enthusiasm toward work that clarifies values, examines consequences, and strengthens the theoretical and ethical foundations of simulation practice. Whether this next phase represents maturation rather than momentum will depend on how seriously the field takes that responsibility.
Nicole Harder (Tue,) studied this question.