Scaling Access to Care: A Hands-On Workshop with the Stanford Spezi Open-Source Framework for Interoperable, Patient-Centered Solutions

2025 Annual Symposium Health Systems Presentation

2025 Clinical Informatics Conference 25x5 Presentation

Presentation Time: 10:30 AM - 12:30 PM

Abstract Keywords: Innovation in Digital Care, Telemedicine and Telehealth including mHealth, App’s etc, Consumer and Patient Engagement, Health IT Standards (USCDI, FHIR®, SMART, etc.), 21st Century Cures (including considerations for special populations such as adolescents), Artificial Intelligence/Machine Learning, Connected Care in the Home, Remote Patient Monitoring
Primary Track: AI and Care Outcomes
Programmatic Theme: Emerging Technology and Technical Infrastructure

Traditionally mobile health solutions face significant challenges due to high costs, lengthy development times, and issues with data reusability, especially when integrating with EHRs. We have developed a modularized framework, Stanford Spezi, which offers an open-source solution for creating scalable software systems focusing on patient-facing solutions and EHR integrations utilizing the FHIR data standard. This workshop introduces participants to the Stanford Spezi framework, showcasing its scalable architecture with numerous reusable modules that streamline the collection and analysis of mobile health data, patient-reported outcomes, and FHIR-based health records, enabling researchers and developers to create robust, patient-facing solutions for large-scale studies and digital health interventions.

Through the lens of the Biodesign process, this workshop explores how to identify core needs in healthcare, design modular solutions, and implement them effectively using Spezi’s comprehensive suite of tools for iOS, Android, and web services. Through the demonstration of completed applications, we will delve into the role of AI in mobile health, highlighting SpeziLLM, which allows dynamic local and cloud-based execution of LLMs on devices, providing patient-centric insights while preserving privacy. Participants will gain hands-on experience with the Spezi framework’s interoperability capabilities, learn cloud infrastructure best practices, and explore collaborative, open-source contributions within the Spezi ecosystem. Interactive breakout sessions will encourage participants to scope their projects, define their applications’ key features, and collaborate on project ideas. Attendees will leave with the skills and tools to accelerate mobile health application development, implement FHIR standards, and foster reusability and interoperability within the Spezi community.

Speakers:
Paul Schmiedmayer, Postdoctoral Student
Stanford University

Vishnu Ravi, MD
Stanford University School of Medicine

Aydin Zahedivash, MD, MBA
Stanford University

Oliver Aalami, MD
Stanford University School of Medicine, Surgery Dept.

Authors:
Paul Schmiedmayer, Postdoctoral Student - Stanford University; Vishnu Ravi, MD - Stanford University School of Medicine; Aydin Zahedivash, MD, MBA - Stanford University; Oliver Aalami, MD - Stanford University School of Medicine, Surgery Dept.;

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