Innovation and Emerging Technologies

Fostering Community and Innovation Through UCSF’s Generative AI Office Hours

kaylal — Wed, 21 May 2025 00:42:00 +0000

Fostering Community and Innovation Through UCSF’s Generative AI Office Hours kaylal Tue, 05/20/2025 - 17:42 In September 2023, UCSF launched GenAI Office Hours, led by Academic Research Services and the UCSF Versa Tiger Team. This bi-weekly series fosters community, knowledge sharing, and explores AI applications within UCSF’s diverse workflows. Presenters from the community generously share their experiences and use cases with GenAI tools. Participants span a broad spectrum of roles, including professors, leadership, IT support staff, researchers, educators, and clinical practitioners. Sessions cover varied topics like AI in clinical research, education, and administration, with attendance ranging from 80-200 participants, reflecting broad interest and engagement. Surveys reveal frequent use of GenAI tools in coding, content generation, email tasks, summarization, and patient care, highlighting their transformative impact on workflows. The GenAI Office Hours effectively build community and drive AI adoption, empowering the UCSF community to harness AI’s potential in their work.

Anna Rubinsky

Lead Clinical Informatics Specialist at UC San Francisco

Anna Rubinsky is Lead Clinical Informatics Specialist for UCSF’s Academic Research Services’ Research Data Assets User Support team. Trained as a health services researcher, she specializes in using large-scale EHR data for research, with a focus on population health and health equity. Her background developing robust analytic datasets helps her guide researchers on how to use and interpret complex clinical data for research. In her current role, Dr. Rubinsky contributes to the advancement of UCSF’s de-identified self-services research data assets, including integration of EHR data from San Francisco Department of Public Health and UCSF Fresno. She played a key role in ensuring these data align with research workflows, from optimizing data quality to creating detailed documentation. Beyond her data efforts, Dr. Rubinsky organizes biweekly UCSF GenAI office hours, providing a forum for the UCSF community to share experiences incorporating generative artificial intelligence solutions into their work.

Session Files

uc-tech-poster-abstract_ucsf-genai-office-hours.docx (20.83 KB)

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

The “Innovation and Emerging Technologies” track is the best choice for our session because it aligns perfectly with the goals and content of UCSF’s GenAI Office Hours. Our session showcases a platform for community knowledge sharing and offers insights into the community’s use cases for generative AI technologies, highlighting applications across diverse professional roles at UCSF. By sharing practical use cases and fostering a collaborative environment, we encourage forward-thinking approaches and innovative solutions to current challenges across clinical research, education, and administration. The GenAI Office Hours have proven effective in building community and driving the adoption of emerging AI technologies, empowering the UCSF community to harness AI’s potential in their work. This track will enable us to effectively share our insights and experiences with a broader audience interested in building community and supporting AI adoption.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

ChatGSPP: Building an AI Assistant for Website Navigation and Academic Program Information

kaylal — Tue, 20 May 2025 06:24:28 +0000

ChatGSPP: Building an AI Assistant for Website Navigation and Academic Program Information kaylal Mon, 05/19/2025 - 23:24 ChatGSPP is an AI-powered chatbot developed by the Goldman School of Public Policy that intelligently navigates information about our faculty, staff, programs, and research initiatives. This interactive demo will showcase how we've implemented a conversational interface that analyzes user queries, retrieves appropriate content from our existing web resources, and delivers responses with proper source attribution. The session will demonstrate how the chatbot serves diverse stakeholders including prospective students, policy professionals, researchers, and policymakers seeking to engage with our institution. Learn about our technical architecture, implementation challenges, and how this tool has enhanced user experience by making complex academic information more accessible through AI-assisted navigation.

Darrian Hall

IT Director at UC Berkeley

Darrian Hall is an experienced IT Director at UC Berkeley's Goldman School of Public Policy, where he leads strategic IT operations, cybersecurity initiatives, and infrastructure management. His expertise spans cloud computing platforms such as AWS, Azure, and GCP, advanced Linux systems administration, virtualization, and robust cybersecurity policy implementation.

With a passion for technology leadership, Darrian actively mentors IT professionals and develops cross-functional collaborations across campus departments, including research and instructional technology teams. His technical skill set includes programming in Python, Bash, Elixir, and PowerShell, and he regularly automates complex workflows through scripting and infrastructure-as-code solutions.

Darrian holds a Bachelor’s degree in Business Administration with a minor in Communication from Cal Poly Humboldt. In addition to his technical role, he dedicates time to AI-driven software development (e.g., ChatGSPP), specifically around predictive modeling and algorithmic quantitative analysis.

Connect with Darrian via LinkedIn or explore his coding projects on GitHub.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This presentation showcases our current ChatGSPP AI (RAG) implementation, which serves as the foundation for our larger AI initiative, Project Oz (a collaboration between the Goldman School of Public Policy and the Public Policy Institute of California). ChatGSPP represents Phase 1 of our roadmap toward a more comprehensive AI-powered platform for democratizing access to California public policy data and educational resources on a global scale.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

No-Code AI in Action: Digital Transformation for Higher Education

kaylal — Tue, 20 May 2025 06:23:50 +0000

No-Code AI in Action: Digital Transformation for Higher Education kaylal Mon, 05/19/2025 - 23:23

RSS has developed an innovative AI-driven, no-code, cloud-based platform to revolutionize digital transformation, addressing compliance requirements like accessibility and cyber security. The platform combines no-code development, AI automation, predictive analytics, and natural language data querying. It enables rapid development of web and native mobile solutions. This poster will showcase: • No-code features like form builder, workflows, roles and permissions, and dashboards • Faster solution development without coding • Real-world examples of improved user experiences Attendees will learn about: • Accelerating digital transformation • Enhancing decision-making with AI analytics • Improving accessibility compliance • Partnership opportunities with RSS Join us to explore how RSS is reshaping software development by creating more efficient, flexible, and intelligent solutions.

Russell Ilejay

Senior Product Manager at UC Davis

Senior Product Manager with over 5 years of experience delivering risk and safety solutions, with a focus on product innovation, operational efficiency, and user-centric design. I currently lead product strategy and development for a suite of 40 software applications supporting the University of California’s Risk Management and Environmental Health & Safety (EH&S) divisions.

In my current role, I’ve driven the transformation of our platform into a no-code solution, enabling greater flexibility and scalability to meet diverse business requirements and workflows. I’ve also integrated AI capabilities to streamline processes, improve decision-making, and enhance overall efficiency.

My background includes experience in healthcare, specifically within environmental health and safety, providing a strong foundation in regulatory compliance and workplace safety standards. I’m passionate about building adaptable, future-ready solutions that empower users and support mission-critical operations.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This presentation covers RSS's 18-year journey from building systemwide enterprise applications to developing a no-code, AI-powered platform for digital transformation. The new platform enhances business digital transformation in higher education by using no-code features, AI-driven automation, predictive analytics, and natural language data querying. It allows rapid development of web and mobile solutions without coding expertise, making technology accessible to all users. Attendees will learn how AI streamlines workflow, improves decision-making, and addresses business transformation in higher education, showcasing emerging trends in AI-powered technology.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

Automating National Healthcare Safety Network (NHSN) Standardized Infection Ratio (SIR) Calculation in Scuba Data Warehouse for Enterprise Reporting and Zero Harm Initiatives

kaylal — Tue, 20 May 2025 06:21:17 +0000

Automating National Healthcare Safety Network (NHSN) Standardized Infection Ratio (SIR) Calculation in Scuba Data Warehouse for Enterprise Reporting and Zero Harm Initiatives kaylal Mon, 05/19/2025 - 23:21 Achieving Zero Harm by preventing healthcare-associated infections (HAIs) is a priority for UC Health. The Standardized Infection Ratio (SIR) is the primary measure used by NHSN to risk-adjust HAIs, but access to protected health information (PHI) is restricted, limiting broad data accessibility. Additionally, no dynamic SIR data source existed in the Scuba Data Warehouse for enterprise reporting. To address this, we developed an automated tool, eliminating manual NHSN exports and processing. Using SQL and SAS, the predicted infections are calculated daily based on logistic or negative binomial regression models, then integrated into Scuba for enterprise-wide reporting. This solution saves 40 hours of manual effort monthly, improves access to timely SIR data, and supports key quality dashboards. Our organization is the first to accomplish this in the UC Health system. Next steps include applying this data source to additional dashboards and leveraging it for future AI-driven analytics.

Yuerong Zhuang

Clinical Informatics Specialist at UC San Francisco

Yuerong Zhuang is a Clinical Informatics Specialist on the Enterprise Information & Analytics Health team at UCSF. Prior to joining UCSF, she worked at UCSD starting in 2006 as a Clinical Informatics Specialist and statistician. She has served as a lead analyst for various quality programs, including QIP, PRIME, MSSP ACO, and PQRS, and has years of experience in Infection Control surveillance reporting. Yuerong is certified in Epic Clarity, Cogito, Caboodle, Healthy Planet, Beaker, and Care Everywhere, and is also a Tableau Certified Data Analyst. In her free time, she enjoys hiking and baking.

Session Files

uc-tech-2025-automating-nhsn-sir-calculation-in-scuba-data-warehouse-for-enterprise-reporting-and-zero-harm-initiatives.pdf (787.64 KB)

Session Format

Poster

Session Skill Level

Advanced

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

Our project fits the "Innovation and Emerging Technologies" track because we developed an automated and dynamic End-to-End Data architecture for SIR calculations, to replace the manual process, and integrates real-time data into Scuba data warehouse for enterprise reporting. This achievement has been accepted to present at the National Association for Professionals in Infection Control and Epidemiology (APIC) 2024 conference. Our organization is the first to accomplish this in the UC Health system.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

AI-Powered User Stories: Supercharge Your Agile Development

kaylal — Tue, 20 May 2025 06:18:25 +0000

AI-Powered User Stories: Supercharge Your Agile Development kaylal Mon, 05/19/2025 - 23:18 Tired of the time-consuming process of crafting user stories? In this session, we'll explore how AI can revolutionize your user story development. We'll delve into real-world examples, like the "eFile Plus" project, where AI was successfully used to generate user stories, resulting in increased efficiency and improved project outcomes. Learn how AI can help you: -Generate initial user stories quickly: Jumpstart your projects with AI-generated drafts, saving valuable time and effort. -Improve user story quality: Refine AI-generated stories to ensure clarity, conciseness, and alignment with user needs. -Empower your Agile team: Free up your team to focus on higher-level tasks like story refinement, acceptance criteria definition, and sprint planning. -Streamline your workflow: Integrate AI tools into your existing Agile processes for a seamless transition.

Patrick Wagman

Associate Director, Portfolio Management Office at UC Riverside

Patrick Wagman, PMP, A-CSM, is an Associate Director in the Portfolio Management Office for Information Technology Solutions at the University of California, Riverside. He is responsible for managing and mentoring a team of IT project managers and a business analyst supporting a variety of IT projects and programs across the ITS Portfolio. He helps develop business analysis, project, program, and portfolio processes. He has over twenty years of experience in management and leadership, quality assurance of personnel and programs, information systems, project management, business process analysis and adult education. He has presented at past UCTECH, EDUCAUSE, and EDUCAUSE Connect events. He has 15+ years instructor and meeting facilitation experience, including certification as a "People Skills" facilitator.

Rehan Tahir

Associate Director - Portfolio Management Office at UC Riverside

With over 15 years of experience in project and program management, I am currently the Associate Director of the Portfolio Management Office at the University of California, Riverside. In this role, I oversee the planning, execution, and delivery of strategic and operational projects in the ITS portfolio. I have a strong background in managing complex and cross-functional projects in the education sector, using agile, software, and process improvement methodologies. I hold multiple certifications, such as PMP, ITIL, and Six Sigma. My mission is to enhance the quality and efficiency of the university's services and systems, and to support the academic and administrative goals of the institution. I am passionate about learning, innovation, and collaboration, and I bring diverse perspectives and experiences.

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

AI is an emerging technology that is incredibly useful in a variety of planning and administrative efforts. Applying these tools to support specific agile practice is the innovative use of the new technology of LLM AI tools.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

Rapid Innovation: A Comprehensive Digital Rounding Solution to Reinvigorate the Patient Experience

Anonymous — Fri, 28 Mar 2025 06:40:35 +0000

Rapid Innovation: A Comprehensive Digital Rounding Solution to Reinvigorate the Patient Experience Anonymous (not verified) Thu, 03/27/2025 - 23:40 In response to a directive, the Nursing Informatics and Salesforce engineering team developed a robust Digital Rounding Utility (DRU) to replace the existing patient experience tool. The project aimed to create a more efficient and integrated system to enhance patient care and streamline operations. Remarkably, within 60 days, we designed, built, and launched the initial version of DRU, featuring basic functionality, manual processes, and minimal reporting capabilities. Since its inception, DRU has evolved through several iterations into a comprehensive platform that integrates seamlessly with multiple hospital systems. Key integrations include the electronic health records (EHR) system, a survey tool, a customer relationship management (CRM) system, and a ticketing maintenance and facilities tool. Ongoing iterations are incorporating AI and an improved user interface to better support frontline staff.

Amy Kuwata

Clinical Nurse Informaticist at UC San Francisco

Amy Kuwata is a Clinical Nurse Informaticist at UCSF Health, integral to the Nursing Informatics team. With Master’s degrees in Nursing and Geology, she combines scientific and technological expertise in her role. Amy has 20 years of experience as a registered nurse and clinical nurse specialist, board certified in nursing informatics for nine years, and has been active in this field since 2007. Her journey began with a strong foundation in science and technology from her career as a geologist. Driven by a passion for midwifery, she returned to academia to pursue nursing, though life steered her toward healthcare technology. Amy’s clinical experience started in obstetrics as a labor and delivery nurse. Initially, she focused solely on nursing, keeping her tech skills hidden. Her desire to help colleagues with computer malfunctions, EHR documentation, and data issues soon surfaced. Now, as a Clinical Nurse Informaticist at UCSF, Amy analyzes nursing workflows, implements technology, and educates staff to enhance patient care. She aims to reduce workflow burdens, increase nurse satisfaction, and improve patient experiences.

Session Files

dru_preview_akkuwata.pdf (401.35 KB)

Session Format

Standard Presentation

Session Skill Level

Advanced

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

Although developed at UCSF Health, this topic is especially relevant for the Innovation and Emerging Technologies track at UC Tech. Innovation isn’t just about new ideas; it’s about simplifying complexity through effective design and integration. Our Digital Rounding Utility (DRU) exemplifies this by providing a streamlined user experience despite its intricate integrations with EHR, CRM, and maintenance tools. Additionally, we created a custom mascot, affectionately called DRU, to help promote the tool and engage users. Attendees will gain insights into agile development methodologies and the significance of iterative improvements for creating effective healthcare solutions. This project underscores the vital role of system integration in enhancing patient care and operational efficiency in healthcare environments.

June 26, 2025 @ 10:45 am - June 26, 2025 @ 11:30 am

RC B

Empowering Faculty in the AI Era: Real Stories, Practical Tools, and How AI Can Transform Learning Ethically

Anonymous — Fri, 28 Mar 2025 06:06:01 +0000

Empowering Faculty in the AI Era: Real Stories, Practical Tools, and How AI Can Transform Learning Ethically Anonymous (not verified) Thu, 03/27/2025 - 23:06 As generative AI rapidly reshapes higher education, faculty are looking for real, ethical, and practical ways to adapt. This session offers a firsthand look at how interdisciplinary courses at UCLA have successfully integrated AI—from biomedical sciences to humanities—while preserving academic integrity and improving student engagement. Attendees will explore proven strategies, tools, and frameworks used to empower faculty, redesign assignments, and support students in becoming critical users of AI. Whether you’re new to AI or leading the charge, this session delivers actionable ideas to help you teach more effectively, ethically, and with confidence in this new era.

Tina Austin

AI & Ethics Consultant, Lecturer at UC Los Angeles

Tina R. Austin is an educator and AI strategist who has spent decades teaching and consulting in higher education. Since 2022, she has been at the forefront of integrating AI into classrooms, teaching both graduate and undergraduate courses that span bioethics, regenerative medicine, social sciences, and gender studies. In addition to her teaching, she collaborates with colleges and universities worldwide as an AI consultant, helping educators and institutions navigate the evolving landscape of AI in education. Tina has led faculty development workshops across the country and was recently named one of ASU+GSV’s 2025 Leading Women in AI. Her mission is simple: to empower educators and students to use AI confidently, creatively, and responsibly.

www.linkedin.com/in/tinaaustin

Tina@tinaaustin.com

Session Files

ai-in-higher-ed_-whats-changing-what-no-one-is-talking-about-ucla-teaching-learning-center.pdf (534.8 KB)

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This session fits perfectly within the Innovation and Emerging Technologies track because it highlights how generative AI is being used to enhance interdisciplinary teaching across STEM, humanities, and health sciences courses in higher education. Drawing from my experience integrating AI tools ethically in multiple UCLA classrooms, I will share firsthand examples of how this technology can support both faculty and students—while maintaining academic integrity and inclusive practices. The session bridges innovation with pedagogy, demonstrating how emerging tools can be implemented thoughtfully and responsibly in diverse educational contexts.

June 26, 2025 @ 3:00 pm - June 26, 2025 @ 3:45 pm

RC B

Smarter, Faster, Better: How UC San Diego Health is Using AI to Save Time and Money

Anonymous — Fri, 28 Mar 2025 05:39:19 +0000

Smarter, Faster, Better: How UC San Diego Health is Using AI to Save Time and Money Anonymous (not verified) Thu, 03/27/2025 - 22:39 UC San Diego Health is reimagining how healthcare systems operate by integrating artificial intelligence, automation, and real-time dashboards to improve efficiency, reduce costs, and support high reliability. This session shares how our Clinical Quality Improvement and Patient Safety teams partnered with data and technology experts to streamline manual processes—such as quality measure abstraction and CMS reporting—through the use of large language models and smart dashboards. Attendees will gain practical insights into how these tools were implemented, how change was managed across clinical and IT teams, and the measurable outcomes that followed. This is a real-world case study in transforming complexity into clarity, and data into action.

Nicholas Hilbert

Director of Quality and Patient Safety at UC San Diego Health

Nick Hilbert, MSN, RN, is the Director of Quality and Patient Safety at UC San Diego Health. His passion for technology began early, working at a small-town computer store in rural Iowa— now he leads system-wide efforts focused on data, AI, process improvement, and Lean strategies to improve outcomes across the health system. He and his teams have helped UC San Diego Health achieve top national rankings by building dashboards, automation tools, and scalable systems that reduce burden and enhance care delivery. A co-author in The New England Journal of Medicine and Governor of the College of AI & Medicine (California Chapter), Nick’s work lives at the intersection of people, process, culture, tech, and AI — shaping a future driven by smart systems and #AIforGood.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This session demonstrates how UC San Diego Health is leveraging emerging technologies—specifically artificial intelligence, automation, and dashboard design—to solve longstanding operational challenges in healthcare. By streamlining manual, resource-intensive processes and making data more actionable, we've seen measurable improvements in both efficiency and cost reduction. The session aligns with this track by illustrating how innovative tools can be thoughtfully integrated into complex systems to drive meaningful, scalable transformation—lessons that are relevant across disciplines and campuses.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

RC D

Scaling a VERSAtile AI-Powered Platform for Research, Healthcare, Education, and Administration

Anonymous — Fri, 28 Mar 2025 04:12:16 +0000

Scaling a VERSAtile AI-Powered Platform for Research, Healthcare, Education, and Administration Anonymous (not verified) Thu, 03/27/2025 - 21:12 Versa, developed by our AI Tiger Team, is an enterprise-scale AI platform. Meant to secure access to frontier generative-AI (gen-AI) technologies, Versa enhances operations by streamlining text-based workflows for thousands of users. Versa is a platform of products: Versa API supports advanced AI research demands with protected clinical and business data; chatbot-style interactions with LLMs via Versa Chat and Versa Mobile, and our Versa Assistant RAG-based service supports development of dedicated, AI-powered interfaces for protected datastores, knowledgebases, and enterprise content. To date, the AI Tiger Team has scaled our gen-AI education series and user community to over 6,000 users. The Versa platform carries over 2,000 monthly users of Versa Chat, 20-100 Versa API users per month, and numerous departments and teams have developed more than 50 Versa Assistants addressing a wide range of AI-enabled use cases.

Joseph Owens

Enterprise AI Product Leader at UC San Francisco

Joe Owens, PhD, serves as Product Leader for Enterprise AI Platforms & Infrastructure at UCSF, where he guides teams in developing and deploying artificial intelligence tools across the institution's health, education, research, and administrative missions. Drawing from his neuroscience and biomedical engineering background, he previously led product development for digital health platforms and clinical-grade wearables at Verily Life Sciences and Alphabet, and served as an entrepreneur in residence at Google[x]. After beginning his commercial career as a management consultant at McKinsey & Company, he has dedicated his work to combining his clinical and engineering research expertise with servant-leader driven product mindset to improve healthcare through thoughtful use of technology.

Victor Galvez

Director EIA at UC San Francisco

Victor Galvez is Director of Integration, Data Platforms, and AI at UCSF. He leads enterprise integration, analytics infrastructure, and UCSF’s internal generative AI platform, UCSF Versa. With over 20 years in healthcare IT, he oversees real-time data exchange, data warehousing, and secure AI deployments that support UCSF’s clinical, research, and education missions. Victor played a key role in launching UCSF Versa, which enables UCSF users to safely leverage AI for productivity, automation, and decision support. He is focused on building scalable, compliant, and mission-aligned technologies across the UC system.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

Developing and scaling generative AI tools across all mission areas of a healthcare, research, and educational UC requires continuous adapting to once in a generation speed technological landscape. Transformationally powerful new AI technologies are released on a monthly basis, requiring rapid adaptation and unquenchable user demand. When every aspect of what the team is building is new, this sits squarely in the Innovation track but is also a new way of building scalable Systems and Solutions in a rapidly changing landscape.

June 26, 2025 @ 1:00 pm - June 26, 2025 @ 1:45 pm

MR 7

ChatGSPP: Building an AI Assistant for Website Navigation and Academic Program Information

Anonymous — Fri, 28 Mar 2025 01:01:53 +0000

ChatGSPP: Building an AI Assistant for Website Navigation and Academic Program Information Anonymous (not verified) Thu, 03/27/2025 - 18:01 ChatGSPP is an AI-powered chatbot developed by the Goldman School of Public Policy that intelligently navigates information about our faculty, staff, programs, and research initiatives. This interactive demo will showcase how we've implemented a conversational interface that analyzes user queries, retrieves appropriate content from our existing web resources, and delivers responses with proper source attribution. The session will demonstrate how the chatbot serves diverse stakeholders including prospective students, policy professionals, researchers, and policymakers seeking to engage with our institution. Learn about our technical architecture, implementation challenges, and how this tool has enhanced user experience by making complex academic information more accessible through AI-assisted navigation.

Darrian Hall

IT Director at UC Berkeley

Connect with Darrian via LinkedIn or explore his coding projects on GitHub.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

June 26, 2025 @ 1:00 pm - June 26, 2025 @ 1:45 pm

EH C