Poster

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

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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

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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

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A Data-Driven Approach to Wildfire Health Risk Mitigation

kaylal — Tue, 20 May 2025 06:23:01 +0000

A Data-Driven Approach to Wildfire Health Risk Mitigation kaylal Mon, 05/19/2025 - 23:23 Our team needed to integrate diverse data streams to dynamically identify patients at risk and proactively distribute tailored resources to empower them to protect their respiratory health. Our team needed to identify when high risk patients with respiratory conditions were experiencing poor air quality caused by wildfire smoke. We worked collaboratively with clinical subject matter experts (SME) to define the appropriate target patient population and air quality thresholds. Three wildfire MyChart letter templates were developed, each providing actionable recommendations, which was developed locally by SME’s. A Tableau Wildfire Alert Report was created and is linked to the Epic workbench reports. Occasional data inaccessibility from upstream sources (EPA, NASA) required process reruns. This pilot program demonstrated the potential of the wildfire alert system to improve patient care during wildfires, with future efforts focusing on optimizing the system's accuracy and scalability.

Matthew Crase

Supervisor of Clinical Informatics at UC Davis Health

Matthew Crase is the Supervisor, Clinical Informatics in the Office of Population Health and Accountable Care and has been at UCDH since 2019. Before taking on this role, Matthew came to UC Davis as a member of the Quality Initiatives and Reporting in the Quality and Safety Department at UCDH. His focus at Quality and Safety was direct technical support for the Quality Initiative Program (QIP). Matthew brings a quality background to his current position; prior he worked for over eight years at the California Correctional Health Care Services for the Quality Management department. He has a BA in Political Science from UC Santa Barbara. Matthew has consistently utilized data-driven approaches throughout his career to foster support and implement enduring changes that significantly benefit patients.

Andrew Wong

Clinical Informaticist IV at UC Davis Health

Andrew Wong is a Clinical Informaticist at UC Davis Health, where he plays a vital role in advancing data-driven healthcare solutions that support population health and accountable care initiatives. Andrew holds a master’s degree in mathematics, providing a strong foundation for his analytical approach to problem solving, and previously held a position with the state of California overseeing the data integrity of the Medi-Cal managed care program. In his current role, Andrew applies his expertise as an analytics engineer, helping to transform complex data into actionable insights that improve patient outcomes and operational eDiciency. His work exemplifies the UC Tech 2025 theme—"Innovate. Integrate. Inspire."—by leveraging technology to bridge gaps in healthcare delivery, integrating novel data into informatics solutions to enhance patient support initiatives, and inspiring teams to adopt a data-informed culture that drives innovation within the UC Davis Health system.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Health Sciences

Session Track Reasoning

Large-scale wildfires can significantly contribute to poor air quality during active fire events through the release of various pollutants. Our patient population is directly affected by these wildfires and the increase in poor air quality, especially those diagnosed with Asthma or Chronic Obstructive Pulmonary Disease (COPD). This project sought to create an intelligent alert system using both internal (Electronic Health Record (Epic)) and external (Environmental Protection Agency (EPA) and National Aeronautics Space Administration (NASA)) data sources to support patients with respiratory conditions during wildfires.

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

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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

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Decoding Tech: A Superhero's Guide to Student Communication

kaylal — Tue, 20 May 2025 06:19:54 +0000

Decoding Tech: A Superhero's Guide to Student Communication kaylal Mon, 05/19/2025 - 23:19 Let's face it, getting tech updates to college students can feel like a superhero mission! This poster aims to present actionable strategies for effectively communicating technology and service changes to college students. It acknowledges the difficulties in reaching a tech-savvy but diverse student body and emphasizes the importance of clear, concise, and relevant messaging. The poster will also recommend using informal, fun language, with an example of a superhero theme, to engage students in short but meaningful interactions and capture their attention, making ITS seem less mysterious. The poster will also highlight the successful strategy of tabling during orientation, bringing the ITS department out to meet campus partners face-to-face.

Elaine Nelson

Visual Communication Specialist at UC Riverside

Elaine Nelson is a visual communication specialist with the UCR ITS Communication and Training team. She’s passionate about bridging the gap between complex technical systems and user experience. Her poster will highlight previous cyber security awareness campaigns and how to keep messaging fresh and approachable for the UCR student audience; where in the window of time for making an impression is less than the amount of time it took to read this bio.

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Teaching, Learning, and Student Success

Session Track Reasoning

This topic could fit into several tracks and I'm happy to defer to the planning committee as to which it may best be assigned to.

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

APeX Enabled Research

kaylal — Tue, 20 May 2025 06:17:08 +0000

APeX Enabled Research kaylal Mon, 05/19/2025 - 23:17 This poster will highlight the impact of the APeX Enabled Research (AER) team on implementing clinical and technical innovations at UCSF. The poster will explain the primary goals of the team, volume of project work, and breadth of technologies used to support research innovation. Ideally UC Tech attendees will learn more about what is technically possible today to support research, get inspiration for projects at their organization, get connected with others doing similar work, and lead to future collaboration and innovation across UC campuses. The AER team has supported dozens of research implementations over the last six years and would love an opportunity to share our learnings with the UC Tech community.

Jory Purvis

APeX Enabled Research - Technical Lead at UC San Francisco

Jory Purvis is the Technical Lead for the APeX (Epic) Enabled Research Team at the University of California, San Francisco. He and his team support the full research project lifecycle—from initial study design, scoping, and budgeting to grant submissions and ongoing implementation. Their work includes developing innovative Epic configurations, supporting multi-site study implementations, and enabling external system integrations to advance clinical research across institutions.

Jassmine Vansise

APeX Enabled Research Build Analyst at UC San Francisco

The APeX Enabled Research (AER) team at UCSF supports researchers in utilizing UCSF's Epic instance to advance their research and clinical trials. In my role as an AER Build Analyst, I work closely with researchers to implement their algorithms, digital tools, and interventions within APeX. I collaborate with teams across UCSF and external sites to develop tailored technical solutions—from disease registries and clinical detection tools to SMART on FHIR integrations, SQL queries, and custom workflows. The work the AER team does aims to bridge the gap between the research and health systems, implementing technology to support data-driven clinical innovation and outcome evaluation.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Health Sciences

Session Track Reasoning

The APeX Enabled Research team support the implementation of research projects within the EMR environment. Our team is consistently helping test new clinical and technical innovations in a real-world environment. This includes new therapies, processes, AI models, and integration of new technologies into the clinical workflow.

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

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What We Learned From the AI Detection Pilot at UC Berkeley

kaylal — Tue, 20 May 2025 06:16:29 +0000

What We Learned From the AI Detection Pilot at UC Berkeley kaylal Mon, 05/19/2025 - 23:16 When Turnitin’s AI Writing Detection Tool launched in Spring 2023, staff from UC Berkeley’s Research, Teaching, and Learning (RTL) department recognized the need for careful exploration of the tool to understand instructor concerns around academic integrity, accuracy, equity, privacy, student access, and actionability. In collaboration with the Center for Teaching and Learning and the Center for Student Conduct, RTL invited instructors to participate in an opt-in pilot from Fall 2023 – Spring 2025. The purpose of the pilot was to gain insights into instructor and student experiences in order to inform the question of campus-wide adoption of AI writing detection tools. This presentation will share the intentions and technical challenges behind the project, pilot evaluation results (including instructor usage, feedback, and recommendations), and provide space to discuss the nuanced challenges associated with AI tools for academic integrity.

Catherine McChrystal

Learning Tools Team Lead at UC Berkeley

Catherine McChrystal (she/her) is the Learning Tools Team Lead in Research, Teaching, & Learning at UC Berkeley. In this role, she serves as the bCourses (Canvas LMS) admin, manages academic integrity tools, and influences the learning tools strategic roadmap. Prior to joining RTL, she was an instructional designer at UC Berkeley, worked for Google for Education, and managed the YouTube Trust & Safety training team. On campus, she is currently a co-chair for the UC Berkeley Instructional Design Community of Practice and is a co-founding member of the Filipinx Faculty & Staff Association. Off campus, Catherine loves to go hiking with her partner and their puppy (Dax!), works with her Oakland community organization, and is finishing up a Doctor of Education degree focused on Learning, Instruction, and Educational Technology.

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Teaching, Learning, and Student Success

Session Track Reasoning

I think this presentation could fit in multiple tracks, so would appreciate your guidance.

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

EH C

Navigating the Pilot Process: Tools, Templates, and Best Practices

kaylal — Tue, 20 May 2025 06:15:34 +0000

Navigating the Pilot Process: Tools, Templates, and Best Practices kaylal Mon, 05/19/2025 - 23:15 This session will showcase how our department identifies, explores, and evaluates emerging technologies that support effective teaching and learning. Our department regularly pilots academic technology tools hosted by third-party vendors, so we developed a comprehensive guide to streamline and navigate through the piloting process. Join us as we walk through the guide, covering key aspects such as establishing scope, developing timelines and milestones, identifying risks and mitigations, creating a communications plan, conducting assessments, and defining success metrics. We will share real examples, including project charters, evaluation surveys, and exploratory conversation templates used in successful pilots. Attendees will leave with practical insights on leveraging the guide to enhance their own pilot processes for tools and services for teaching and learning.

Allison Czapracki

Manager of Learning Environments and Tools at UC Berkeley

Allison leads the Learning Environments and Tools (LET) team within Research, Teaching, and Learning at UC Berkeley. LET manages and supports a portfolio of academic technologies including Canvas, Kaltura, lecture capture, Ally, Turnitin, the campus Jupyterhub instance, and course evaluations. Allison co-facilitates Canvas R1 Peers, a monthly working group that brings together 150+ to share best practices around using Canvas in support of teaching and learning. She is passionate about accessibility and creating initiatives that guide faculty in using edtech as the foundation for an engaging, equitable educational experience.

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Teaching, Learning, and Student Success

Session Track Reasoning

Session focuses on strategies for planning, executing, and evaluating pilots for technology tools and services used to enhance teaching and learning.

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

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