Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Enhanced Data Integration and Documentation: UCSF-SFDPH DeID OMOP Database

kaylal — Tue, 20 May 2025 06:14:13 +0000

Enhanced Data Integration and Documentation: UCSF-SFDPH DeID OMOP Database kaylal Mon, 05/19/2025 - 23:14 The UCSF-SFDPH DeID OMOP database integrates EHR data from UCSF Health and SFDPH. UCSF Health primarily serves insured patients, while SFDPH provides accessible healthcare regardless of insurance or immigration status. This integration enhances research in population health and health equity by offering a unified patient database with broad demographic and socioeconomic representation. Our team developed detailed methodologies and transparent data mapping processes, including a global patient identifier and extension tables for health system data differentiation. Documentation includes a data dictionary detailing mapping logic, analysis of patient sociodemographics across systems and subpopulations, and guidance for common research workflows. This project showcases how leveraging diverse expertise and fostering partnerships can drive innovation in data integration and documentation, supporting impactful and efficient research using self-service de-identified data assets.

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-sfdph-omop-integration-and-documentation.docx (20.29 KB)

ucsf-sfdph-deid-omop-data-user-guide.docx (374.08 KB)

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

The “Systems and Solutions: Enterprise Infrastructure, Data, Research Computing & Support” track is the ideal fit for our poster session on the UCSF-SFDPH DeID OMOP database. This poster will describe key aspects of technical infrastructure, data integration, and research workflow-centered data documentation that are central to enhancing research capabilities and improving data accessibility and quality. By detailing the methodologies and transparent data mapping processes used to integrate EHR data from UCSF Health and SFDPH, our presentation underscores advancements in data analytics, research computing, and support systems. The innovative solutions and comprehensive documentation developed for this project exemplify how collaborative efforts can drive innovation in data integration and documentation, ultimately supporting impactful research in population health and health equity.

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

EH C

Migrating an On-Prem Learning Management System to AWS with Infrastructure as Code

kaylal — Tue, 20 May 2025 06:13:23 +0000

Migrating an On-Prem Learning Management System to AWS with Infrastructure as Code kaylal Mon, 05/19/2025 - 23:13 In this session, we will share our experience migrating our Learning Management System from on-premises to AWS. We will walk through designing a scalable and secure cloud infrastructure using CloudFormation, automating deployments with AWS CodePipeline, orchestrating containers with ECS Fargate, and managing databases with Amazon RDS. The migration process involved moving code via GitHub, files with AWS DataSync, and the database through DBMS export/import. We will also discuss how adopting ECS Fargate enabled environment consistency between local development and production, leveraging Docker for improved efficiency and deployment reliability. Additionally, we will highlight the role of AWS ECR in enhancing security and operational efficiency throughout the migration.

Nir Shemer

Application Programmer at UCLA Health

I have a background in web development and system administration, with technical skills of projects involving cloud computing, automation, and security. I've worked with various technologies, including AWS, Docker, and PHP frameworks, to deliver solutions that meet customer needs. My experience has taught me the importance of collaboration and eﬀective problem-solving in IT projects.

Sideok You

Application Programmer at UCLA Health

Sideok You is an application programmer at UCLA Health, specializing in web application development, system integration, and cloud-based infrastructure. He has extensive experience working with PHP frameworks and AWS services. His work includes leading application migrations, optimizing CI/CD pipelines using GitHub Actions, and improving system performance through scalable architecture and automated deployment. He emphasizes security-focused development and contributes to large-scale digital initiatives at UCLA Health.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

This presentation covers key cloud infrastructure topics such as AWS CloudFormation, ECR, ECS Fargate, RDS, EFS, and CodePipeline, along with best practices for automation, scalability, and security. Attendees will gain valuable insights into building a secure and efficient cloud-based system.

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

EH C

Navigating the World of E-Form Solutions

kaylal — Tue, 20 May 2025 06:12:36 +0000

Navigating the World of E-Form Solutions kaylal Mon, 05/19/2025 - 23:12

This session will go over the strengths/weaknesses of three popular form-building platforms: MachForm, Qualtrics, and DocuSign's Powerform. The session will explain and demonstrate the platforms, common use-case scenarios for each, and why some should be used over others (for inherent reasons, as well as user/security-requirement reasons). Attendees will come away with a better understanding of different e-form platforms and why selecting the correct one is important. Some discussion points may include... * "Is the use case one-way data collection, or is a workflow required?" * "What level of data classification (P1 through HIPAA) is being collected, and is the platform appropriate for that?" * "Is this an 'open' form, or will it need to be placed behind SSO?" * "Is a legally binding signature required?" * "What survey platforms that play well with content management systems?"

Paul Abbott

Information Systems Analyst at UC San Diego

Paul Abbott is an Information Systems Analyst at UC San Diego's IT Services department. He keeps DocuSign, Qualtrics, Kuali Build, MachForm, and SharePoint running (smoothly!) for tens of thousands of daily users and has over a decade of experience assisting higher-ed users in building effective e-forms for their specific needs.

Session Format

Poster

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

This topic crosses several tracks: Communications and User Experience, Infrastructure, and Security. So, I'm happy having the Planning Committee decide.

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

EH C

From SSIS to DBT: A Modern Approach

Anonymous — Fri, 28 Mar 2025 04:28:57 +0000

From SSIS to DBT: A Modern Approach Anonymous (not verified) Thu, 03/27/2025 - 21:28 The previous SSIS/Python ETL was viewed as antiquated, disjointed and problematic for maintenance and reliability. A modern embedded data solution centered around a user defined data mart which would act as the catalyst for driving informed decision making and supporting prioritized initiatives from executive leaders was seen as the solution. There were two sets of goals, create a self-service data layer for ad hoc questions, a recurring reporting solution and support KPI metric dashboards. The team sought a democratized solution, rapid cycle improvement, scalability, and ability to move from on-prem to cloud when the time came. The solution that stood out was dbt, chosen for its data transformation capabilities. We have successfully created more than a dozen gold-level tables in our production environment with an increase in efficiency and reliability since implementing the open-source solution. The result has improved collaboration, change tracking and version control via Git.

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.

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.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

The work that the Clinical Informatics team focuses on for the office they support is centered around data driven decision making. As a team which is embedded with their immediate customers, we focus on making data easy to access and use, weather that is through self-service tools or data visualization using Power BI. We have generated technical infrastructure where previously there was none, or it was outdated and archaic.

June 26, 2025 @ 4:00 pm - June 26, 2025 @ 4:45 pm

RC C

Up and downs to achieve a successful business continuity plan

Anonymous — Fri, 28 Mar 2025 04:01:01 +0000

Up and downs to achieve a successful business continuity plan Anonymous (not verified) Thu, 03/27/2025 - 21:01 This presentation provides insights into how our department created a successful business continuity plan after many years of fits and adjustments. Rounds of evolving user training over the years attempted to transition users to our vision without success until the gaps with users were isolated using virtual machines. This allowed our department to adjust testing scenarios to simulate a disaster and arrive at solutions where our users could use any device (a provided device or BYOD) in a Zero Trust environment and continue doing their work. Technically, this was not achievable even a few years ago, but with changes in our network, software applications, and business processes our department made the dream a reality. In conclusion, our staff can confidently handle a worst-case disaster scenario of losing our physical building and still continue with their work, even if they did not have any IT Support for the first 7 days.

Stephen Mills

IT Manager at UC Los Angeles

Stephen Mills, born in Jamaica, raised in Canada, is a dedicated IT and finance professional. After earning a double major from UCLA, he began his career at Metropolitan West Securities, where he managed accounting and securities lending financial reporting for major clients such as CalPERS, CalSTRS, USAA, and Microsoft. While there, he transitioned into a senior system manager role, and with a small team developed financial and trading systems supporting over $50 billion in transactions. At UCLA Capital Programs, Stephen has served as Software Development Manager and now as IT Manager, where he has led the creation of enterprise systems for financial transactions, contract management, project and construction oversight, and workflow automation. He also developed a financial app for UCSF’s Mission Bay Hospital construction project. Stephen’s leadership continues to drive complex IT strategies and infrastructure supporting UCLA’s multi-billion-dollar Capital Programs operations.

Session Files

businesscontinuitypresentation202503draft.pptx (3.44 MB)

Session Format

Standard Presentation

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

Supporting users to achieve business continuity.

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

MR 8

UCLA Data Lakehouse in Action

Anonymous — Fri, 28 Mar 2025 03:39:07 +0000

UCLA Data Lakehouse in Action Anonymous (not verified) Thu, 03/27/2025 - 20:39 While university data held immense value, its fragmentation limited its utility. We built a modern cloud platform, centralizing data and establishing a single source of truth. This demo will illustrate how we centralized disparate data, creating a unified foundation for actionable insights. Our Agenda: Cloud Migration: Secure, scalable platform integrating diverse data sources into a single source of truth. Automated Pipelines: Collection, Erichment, and Curation ensuring data consistency. Self-Service Access: User-friendly interfaces for all stakeholders. This demo will showcase the Data Lakehouse in action, swiftly and efficiently by utilizing pre-built frameworks guided by configuration. The automated pipelines transfer data across 6 stages: * Data Collection * Data Enrichment * Data Curation * Data Access * Data Delivery * Data Quality This consistent framework-driven approach enable data-driven decision-making data-driven decision-making throughout UCLA.

Navneet Sharma

Senior Data Architect at UC Los Angeles

As a Senior Data Architect, Navneet specializes in designing robust data architecture, strategy, and governance for UCLA focusing on building scalable data foundations for AI/ML, enabling data-driven decisions. His primary focus is on ensuring data quality, security, and controlled democratization of campus data assets to align with strategic priorities.

Rajesh Narayanan

Manager for Data Integration at UC Los Angeles

Rajesh Narayanan manages Data Integration at UCLA’s Digital & Technology Solutions department, supporting enterprise-wide data and analytics initiatives that drive insight, innovation, and operational excellence.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

I am Rajesh Narayanan, Manager Data Integration and I would be accompanied by Navneet Sharma who is our Enterprise Data Architect. We are representing UCLA's Enterprise Data and Analytics team. Our team is responsible for creating critical Data Integration Solutions for UCLA. University data holds immense value, but its impact is often limited by fragmented, siloed systems. We have architected a modern, cloud-based data platform with Automated Data Pipelines that runs our daily Data Loads through a Well-Architected framework. This platform eliminates silos, centralizes data, and ensures quality through automation.
This track was found more suitable for Demonstrating our Data Solution end to end as per systems and solutions: Data.

June 27, 2025 @ 1:00 pm - June 27, 2025 @ 1:45 pm

RC E

Modernizing Specimen Management: Overcoming Challenges with the UC Digital Donor Library

Anonymous — Fri, 28 Mar 2025 01:19:41 +0000

Modernizing Specimen Management: Overcoming Challenges with the UC Digital Donor Library Anonymous (not verified) Thu, 03/27/2025 - 18:19 The UC Digital Donor Library (DDL) is a system designed to help UC medical school campuses including UCD, UCI, UCLA, UCSD, and UCSF manage every stage of anatomical donations—from donor registration and preparation to inventory tracking, allocation, and final disposition. Originally launched in 2008 as a desktop application, the DDL underwent a major modernization effort in 2023 to a secure Cloud based solution. In this session, we’ll cover: • Program Overview: Overview of DDL and the key challenges faced during implementation. • Lessons Learned: User feedback management and validation. How we standardized workflows and metadata across campuses and how we migrated legacy data to the new system. • Application & Architecture: Single Page App (SPA) design, Azure Enterprise Cloud, role-based access, microservices approach, multi-tenant shared and private data model, barcode scanning, development process, and automation strategies.

Kelsey Byers

Systemwide Coordinator for the Anatomical Donation Program at UC Office of the President

Kelsey Byers, MPH, is the Systemwide Coordinator for UC Health’s Anatomical Donation Program. Her work in the Office of the President keeps UC’s five campus body donation programs connected, compliant and operating at a gold standard. She previously worked for Indiana University’s Anatomical Education Program, where she gained invaluable experience in all aspects of academic body donation.

Kelsey joined UC during a multi-year development process to upgrade the Digital Donor Library (DDL), UC’s human body donor registry and anatomical specimen tracking system. Her contributions to the ongoing project include staff training, collating user feedback and communicating Program priorities to the developers. She has written a DDL user manual and convenes weekly feedback sessions with users across the UC system. She advocates for robust human specimen tracking at all academic body donation programs and has presented on UC’s DDL to audiences of body donation personnel and anatomy educators.

Furqan Kamani

Lead Application Developer at UC San Francisco

Furqan Kamani is a seasoned software developer with extensive experience in mobile and web application development. Currently serving as a Lead Application Developer at UCSF, Furqan is involved in the design and development of features for the Digital Donor Library using Angular and Dotnet. At UCSF, he also worked on Mobile applications using React Native and full-stack development of single-page web applications using React, Nodejs, and low code application development using Power Platform apps and Modo Labs.

Session Format

Standard Presentation

Session Skill Level

Beginner

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

“Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support” is the most appropriate session track for our discussion topic. Transitioning from a desktop application to a secure cloud-based solution involves numerous business and technical aspects. Throughout our implementation process, we standardized workflows and metadata, managed user feedback using agile methodologies, migrated legacy data, and replaced handheld scanners with a new mobile barcode scanning process, automated our CI/CD pipeline to streamline development etc. Sharing our experiences and technical insights will provide the audience with practical knowledge on building and optimizing similar systems and solutions, offering valuable lessons on overcoming challenges, ensuring efficiency and scalability, and adhering to the security policy.

June 26, 2025 @ 2:00 pm - June 26, 2025 @ 2:45 pm

MR 10

Sunapsis - An innovation platform to manage international student and scholar services

Anonymous — Fri, 28 Mar 2025 00:23:11 +0000

Sunapsis - An innovation platform to manage international student and scholar services Anonymous (not verified) Thu, 03/27/2025 - 17:23 In this discussion, we will provide an overview of the Sunapsis platform and introduce the background of the Sunapsis project at UCSD. We will then cover the project outline, including system configuration and data integration, as well as the challenges we have overcome. Additionally, we will highlight the accomplishments achieved so far. Finally, we will discuss the project roadmap and open the floor for discussion. With the implementation of Sunapsis, UCSD is now able to provide better services to its rapidly growing population of incoming and current international students and scholars, despite having a limited number of staff and advisors.

Dana Hurwitz

Application Programmer at UC San Diego

Dana Hurwitz is an Application Programmer on the Student Information System team at the University of California, San Diego. With a strong background in enterprise software development, she has served as the lead developer on several high-impact projects across campus, including the successful implementation of Sunapsis. Dana is passionate about streamlining system processes and enhancing operational efficiency.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

Sunapsis is a system and solution for managing international student and scholar services, particularly within the context of U.S. immigration regulations and compliance. It provides a comprehensive solution for higher education institutions to streamline processes related to international student and scholar management.
In terms of systems and solutions, Sunapsis offers:
Visa and immigration management: It serves as a system to track visa statuses and immigration documents.
SEVIS integration: Sunapsis integrates with the SEVIS system, ensuring institutions maintain compliance with U.S. government regulations for international students and scholars.
Data management: It provides a solution for managing student records, maintaining accurate data, and generating reports for compliance purposes.
Automation of processes: Sunapsis automates various tasks related to international student services, which helps improve efficiency and reduce administrative burdens.

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

MR 8

Advanced SQL for Analytics

Anonymous — Thu, 27 Mar 2025 23:20:22 +0000

Advanced SQL for Analytics Anonymous (not verified) Thu, 03/27/2025 - 16:20 Do you consider yourself okay with SQL but want to level up? This session will cover SQL functions that can be used for analytics. Most of these functions are available in ANSI SQL and thus work on most databases, but some functions will be specific to Oracle, Snowflake, and BigQuery (and perhaps other databases I haven't researched). We'll cover window functions, aggregations, pivoting, statistical functions, and even machine learning capabilities within SQL. Prepare to leave this session excited to impress your analytics stakeholders with more advanced ways of looking at data!

Michelle Hardwick

Chief Data Officer at UC Riverside

Michelle Hardwick is the Chief Data Officer for UCR. Her primary goal is to create intuitive and insightful data products that drive data-informed decisions and boost data literacy across the campus. With over 20 years of experience in data, Michelle has overseen multiple implementations of data warehouses, BI, analytics, and machine learning across many industries. She is passionate about improving storytelling with data and effective data visualizations. Michelle has a BS in Computer Science from Winona State University and an MBA from Utah State University.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

This is a technical presentation about SQL.

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

RC E

Our Data Lakehouse Architecture in GCP

Anonymous — Thu, 27 Mar 2025 23:04:23 +0000

Our Data Lakehouse Architecture in GCP Anonymous (not verified) Thu, 03/27/2025 - 16:04 This talk will explain our Data Lakehouse tool and architecture stack that allows us to rapidly deliver data for AI, analytics, reporting, integrations, and more. We'll cover our use of Invoke for data ingestion, dbt for pipelines, BigQuery as a database, Looker as an analytics tool, and Vertex AI for data science. We'll also cover our medallion-like architecture within the data lakehouse.

Jason Kaetzel

Data Architect at UC Riverside

Jason has an extensive IT background spread over the last 22 years. He joined UC Riverside in 2022 as their Data Architect after almost 20 years working with Indiana University in various positions. He has a background in mutiple IT areas including support, security, system infrastructure, administration, development, analytics, and of course data. Jason can typically be found solving data related problems or automating a problem out of existence. He has been using Google's Cloud Platform offerings including BigQuery, Cloud Functions, Storage, Logging, and others to create solutions out of raw data. These solutions then empower all levels of the institution to make data informed decisions.

Michelle Hardwick

Chief Data Officer at UC Riverside

Daniel Liu

Head of Customer Engineering at Google

Daniel Liu leads a team of Customer Engineers and Enterprise Architects at Google who partner with state and local governments and higher education to develop and implement innovative technology solutions. A recognized authority on databases and AI, he is a published author and frequent speaker at industry conferences worldwide, sharing his expertise with organizations seeking to leverage technology for a strategic advantage. His contributions to the field have earned him accolades such as the SELECT Editorial Award for Best Article (2001), recognition as OTN Architect of the Week (2004), and the Ken Jacobs Award (2017).

Prior to Google, Daniel held key leadership positions at Oracle and First American, where he spearheaded the creation of one of North America's largest and most complex database environments. His deep technical expertise and commitment to public sector innovation make him a valuable resource for organizations navigating the evolving technology landscape.

Session Format

Standard Presentation

Session Skill Level

Advanced

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

This is a data infrastructure and architecture talk. It could also be considered Emerging Technologies because it's cloud based with a medallion architecture.

June 26, 2025 @ 4:00 pm - June 26, 2025 @ 4:45 pm

RC E