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Medigram CEO and AI Champion Award Finalist Leads the High Reliability AI Module, the “Chief AI Officer’s Toolkit” at AIMed25

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FOR IMMEDIATE RELEASE

SILICON VALLEY, CA – NOVEMBER 5, 2025  As hospitals race to adopt AI while facing increasing financial shocks; the stakes have never been higher. Without infrastructure built for real-time trust, patient safety and clinical productivity hang in the balance. That’s why Medigram is leading the High-Reliability AI module at AIMed25, where we’re not just talking about safe AI, we’re showing what it looks like at runtime. Sherri Douville, CEO of Medigram and Chair of the Trustworthy Technology and Innovation Consortium (TTIC), will lead the High Reliability AI Module at AIMed25, taking place November 11 at the Manchester Grand Hyatt in San Diego.


The module, titled High Reliability AI modeled as the"The Chief AI Officer’s Toolkit," will feature leading voices across medicine, technology, security, and operations to define the path from AI trust to real-time execution. Sherri Douville, CEO of Medigram and AI Champion Award Finalist, will lead the High Reliability AI module, “The Chief AI Officer’s Toolkit” at AIMed25. This tightly integrated expert series will showcase how hospitals can deploy agentic AI with the same rigor and reliability as aviation and pharma. As the leading architect of both Medigram’s trust infrastructure and the co chair of trust for the IEEE UL 2933 Data Trust standard, Douville brings unique expertise in fusing clinical, technical, and regulatory disciplines into technical and operational systems.


Her work helps ensure AI in healthcare is not just safe, but survivable, scalable, and aligned with the financial solvency of hospitals.The High Reliability AI module is part of a broader movement Douville leads across Medigram, TTIC, and AIMed to turn clinical AI from theory into runtime systems. At AIMed25, she will be joined by leaders from prominent health systems and top AI and security technologists contributing to this mission.


The module was co-designed together with Ms. Douville and Dr. Apurv Gupta, Chair, Clinical Excellence at TTIC, executive at Medigram, and Mitch Parker, Chief Information Security Officer at IU Health. Douville, a finalist for the AIMed AI Champion Award, will moderate the module as well as moderate and speak in multiple sessions, illustrating the infrastructure, governance, and resilience required to safely scale clinical AI.


This “Chief AI Officer’s Toolkit” was designed for health systems that want to lead, not follow. It brings together CXOs and clinical executives from the nation’s most ambitious healthcare systems to build AI operations that are safe, scalable, and resilient from day one. This module isn't theory, it’s a blueprint for action. This track distills what it takes to build trust infrastructure across technical, clinical, and board layers.


Featured Use Cases & Panels:


  • Unlocking Pharma & Life Sciences Value with AI 

  • The Financial Lifeline for Healthcare AI: Anurag Mairal (Stanford Biodesign), Sonali Shivhare (Reimagining Health)

  • Algorithmovigilance at Scale: Maneesh Goyal (Mayo Clinic Platform), Dr. Peter Embí (National Academy of Medicine) and Douville

  • Building Trustworthy AI Infrastructure: Dr. Apurv Gupta (Medigram)

  • Executing Standards for Trusted AI at Scale: Dr. Arthur Douville (Medigram), Brian Krug (AppFaktors), and Douville

  • AI Security, Trust, and the Future of Resilience: Ed Gaudet (Censinet), Steve Wilson (Exabeam), Anahi Santiago (ChristianaCare), and Douville

  • Closing Keynote: What Comes Next in AI for Health: National Healthcare AI Leaders; Dr. Anthony Chang, S. Douville et al. 


📍 Tuesday, November 11 | Seaport F, Manchester Hyatt, San Diego


“It’s urgent for the healthcare industry to convert trust from aspiration to infrastructure. We’re translating national standards into accountable systems, and oversight into patient and financial outcomes. I'm honored to lead this work alongside an ecosystem of exceptional leaders, as we raise the bar for responsible AI in clinical care. This isn't about adding more AI models, it's about building the foundation that lets healthcare organizations deploy, monitor, and improve AI systems, driving ROI with confidence.”


Sherri Douville, CEO of Medigram, Chair of TTIC, and Co-Chair of the IEEE UL 2933 Trust Subgroup


AIMed is the leading global conference community dedicated to accelerating the responsible adoption of AI in healthcare. Through high-impact expert forums and strategic collaborations, AiMed brings together clinicians, technologists, executives, and policymakers to shape the future of intelligent, ethical, and high-reliability healthcare. www.aimed25.com


High Reliability AI Module, Seaport F Nov 11 | 10AM–12PM

Use code TTIC25 for 25% off


The Trustworthy Technology and Innovation Consortium (TTIC) is a network of top cross-sector and industry level leaders founded and chaired by Medigram CEO, Sherri Douville. TTIC is driving the responsible operationalization of AI across healthcare. By translating standards into systems and aligning experts around technical, clinical, and governance excellence, TTIC equips institutions to build high-reliability AI that is safe, auditable, and accountable at scale.


About Medigram

Medigram, based in Silicon Valley, builds the trust infrastructure hospitals need to operate agentic AI safely and effectively at scale. Purpose-built for healthcare and high-reliability organizations, Medigram enables autonomous governance through real-time compliance, escalation, telemetry, and decision support without added headcount or risk. Its platform automates key workflows like radiology results routing, discharge optimization, and patient safety events. Medigram translates industry standards and frameworks such as, IEEE UL 2933, NIST CSF 2.0, and OWASP GenAI into measurable, auditable systems that improve care quality, protect margins, and fortify clinical culture. Learn more at medigram.com 


Join us at AIMed25 to explore if your health system or medtech firm is ready to lead the next era of agentic, high-reliability AI


 
 
 

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