Federico Lorenzo Barra, Laleh Jalilian, Alessandro Costa, Laura Leuci, Giovanna Rodella, Luca Carenzo
{"title":"One Does Not Simply Walk Into Artificial Intelligence: A Distributed Leadership Framework for Healthcare Simulation.","authors":"Federico Lorenzo Barra, Laleh Jalilian, Alessandro Costa, Laura Leuci, Giovanna Rodella, Luca Carenzo","doi":"10.1097/SIH.0000000000000933","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence is entering healthcare simulation, yet implementation remains fragmented and lacking coordinated governance. This article argues that sustainable AI integration requires moving beyond tool-centric experimentation toward an ecosystem-level approach connecting governance, infrastructure, pedagogy, and evaluation. We propose a Fellowship model, drawing on Tolkien's literary framework to illustrate how distributed leadership can align strategic, clinical, technical, operational, and learner perspectives. The Fellowship metaphor captures how trust must be built across historically separate groups, how leadership emerges situationally rather than hierarchically, and how those closest to the work prove essential to success. Simulation centers, with their controlled environments and established debriefing cultures, offer natural testbeds for AI implementation. We translate these principles into practical recommendations: anchoring decisions to educational problems, embedding psychological safety in planning, conducting multidimensional evaluation, and establishing continuous governance while ensuring ethical imperatives remain foundational rather than retrofitted. This framework offers guidance relevant to educators seeking pedagogical alignment, administrators developing governance structures, clinicians ensuring clinical authenticity, operations staff validating workflow integration, and learners advocating for meaningful participation in AI implementations.</p>","PeriodicalId":49517,"journal":{"name":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation in Healthcare-Journal of the Society for Simulation in Healthcare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/SIH.0000000000000933","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence is entering healthcare simulation, yet implementation remains fragmented and lacking coordinated governance. This article argues that sustainable AI integration requires moving beyond tool-centric experimentation toward an ecosystem-level approach connecting governance, infrastructure, pedagogy, and evaluation. We propose a Fellowship model, drawing on Tolkien's literary framework to illustrate how distributed leadership can align strategic, clinical, technical, operational, and learner perspectives. The Fellowship metaphor captures how trust must be built across historically separate groups, how leadership emerges situationally rather than hierarchically, and how those closest to the work prove essential to success. Simulation centers, with their controlled environments and established debriefing cultures, offer natural testbeds for AI implementation. We translate these principles into practical recommendations: anchoring decisions to educational problems, embedding psychological safety in planning, conducting multidimensional evaluation, and establishing continuous governance while ensuring ethical imperatives remain foundational rather than retrofitted. This framework offers guidance relevant to educators seeking pedagogical alignment, administrators developing governance structures, clinicians ensuring clinical authenticity, operations staff validating workflow integration, and learners advocating for meaningful participation in AI implementations.
期刊介绍:
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare is a multidisciplinary publication encompassing all areas of applications and research in healthcare simulation technology. The journal is relevant to a broad range of clinical and biomedical specialties, and publishes original basic, clinical, and translational research on these topics and more: Safety and quality-oriented training programs; Development of educational and competency assessment standards; Reports of experience in the use of simulation technology; Virtual reality; Epidemiologic modeling; Molecular, pharmacologic, and disease modeling.