Advancing AI in Healthcare Simulation
The Artificial Intelligence in Healthcare Simulation Collaborative is a global and inter-speciality community of healthcare professionals, simulationists, educators, researchers, technologists, engineers, computer scientists, and industry leaders united by our commitment to safer, more effective healthcare and healthcare education through intelligent simulation.
Our Strategic Pillars
Eight core areas of focus that drive our mission to advance AI-powered simulation in healthcare.
Education & Workforce Development
Upskilling clinicians, educators, and engineers in AI-enabled simulation through comprehensive training programs and continuous learning opportunities.
Research, Validation & Benchmarking
Running shared tasks, challenges, and maintaining a Simulation-AI Outcomes Registry to advance the evidence base for AI in healthcare simulation.
Ethics, Safety & Governance
Establishing guardrails for bias, privacy, security, and responsible deployment of AI technologies in healthcare simulation environments.
Standards & Interoperability
Developing specifications and profiles so tools, manikins, and data systems work together seamlessly across platforms and vendors.
Clinical Impact & ROI
Linking simulation training to measurable outcomes, quality measures, and demonstrable operational value in healthcare organizations.
Innovation & Testbeds
Creating sandboxes, reference scenarios, and real-world pilot programs with healthcare partners to advance cutting-edge applications.
Global Equity
Developing toolkits for low-resource settings and multilingual content to ensure AI simulation benefits reach all populations worldwide.
Policy & Advocacy
Providing practical guidance for regulators, payers, and accreditors to support responsible AI adoption in healthcare simulation.
Community & Governance Structure
AI-HCS is governed by a diverse board and organized through specialized committees and communities of practice to ensure broad representation and expertise.
Board of Directors
Global and Diverse leadership with representation from clinical, education, data/AI, industry, and patient/family perspectives.
Committees
Specialized committees focusing on key areas of AI-HCS operations and strategic initiatives.
Communities of Practice
Specialty groups and chapters fostering collaboration and knowledge sharing across disciplines and regions. More committee are added regularly.
Comprehensive Ethics & Safety Framework
We aim to be the field's trusted hub for AI safety reporting and ethical stewardship, promoting, accountability, and integrity across all applications of AI. Our robust framework ensures AI in healthcare simulation is implemented safely, ethically, and with appropriate human oversight at every level.
Risk-Tiered Use Cases
Higher-risk applications require pre-deployment simulation, red-teaming, and comprehensive safety cases.
Bias & Performance Audits
Regular audits across demographics and languages with published confidence intervals and failure modes.
Privacy & Security Standards
De-identification protocols, PHI handling procedures, encryption requirements, and comprehensive audit logs.
Human-in-the-Loop Debriefing
Structured AI + facilitator debriefs with override capabilities and explain-back features.
Safety First Commitment
Every AI-HCS initiative is designed with patient safety as the paramount concern.
Confidential reporting with root-cause analysis and community advisories.
Real-time performance tracking and automated safety alerts.
