Deep Dive Into FHIR SDC: From Theory to Practice.
Join us at the FHIR SDC Conference to explore the capabilities of FHIR in enhancing data capture and exchange in healthcare. This event will provide a comprehensive overview of how FHIR SDC can improve interoperability and streamline data management processes. By attending, you will gain insights into the latest developments and best practices in leveraging FHIR for more efficient healthcare operations.
This conference offers a unique opportunity to engage with industry experts in healthcare interoperability. You will have the chance to ask questions, learn from real-world applications, and discover how FHIR SDC can transform data sharing and create value for both patients and healthcare organizations. By participating, you will be part of a community that is shaping the future of healthcare data management and optimizing patient care through standardized FHIR solutions.
Chief Standards Officer
Dogwood Health Consulting
As one of the initial developers of the FHIR standard, Lloyd has been extremely active in supporting FHIR development, with roles as a community liaison and co-chair of the FHIR Infrastructure work group and member and past co-chair of the FHIR Management Group. He's also the principle author of the Structured Data Capture implementation guide and has provided guidance on the use of FHIR Questionnaires to a wide variety of other guides.
Linkedin ->Senior Software Engineer
Microsoft
With years of experience in diverse environments, Brian has gained extensive knowledge on how software effectively meets user and business needs, which often clash. He has contributed to various software styles, from aged care health environments to fast-paced transactional products, and in time-sensitive newspaper publishing, where multiple users concurrently edit the same story and need real-time updates on changes.
Linkedin ->Senior Software Developer
Smile Digital Health
Brenin is a Senior Software Developer at Smile Digital Health. For several years he has worked on projects implementing services to support various CDS use cases using FHIR Implementation Guides, including: Clinical Guidelines (CPG), Structured Data Capture (SDC) and Quality Measures (CQM). At Smile, his focus is on developing FHIR-enabled clinical reasoning components for Clinical Decision Support Services.
Linkedin ->Clinical Data Interoperability Team Lead
National Library of Medicine
Paul Lynch is technical lead of the Clinical Data Interoperability Team at the U.S. National Library of Medicine (NLM). Since 2016, NLM has had a project (https://lhcforms.nlm.nih.gov) which since 2016 has been developing web services and open-source tools for FHIR. Because many of these tools are questionnaire-related, Paul participates in the FHIR-I calls for Questionnaire and helps run the Questionnaire track at FHIR Connectathons.
Linkedin ->Full Stack Engineer
Health Samurai
A full-stack developer and technology leader with over 15 years of hands-on experience building medical billing platforms, pharmaceutical lookup tools, blockchain-based remittance services, and road safety monitoring systems. Currently working on FHIR-compliant form solutions to improve healthcare data capture and interoperability. Previously led the development of a low-code platform for web apps and implemented multi-tenant infrastructure for workflow automation. Experienced in delivering real-world solutions for healthcare providers, fintech startups, telecom operators, and public service platforms.
Linkedin ->HL7 FHIR expert
Beda software
An active participant in the FHIR community and a key contributor to the SDC IG, he has launched more than 30 projects in digital health based on FHIR over the past 9 years. His exceptional knowledge of the FHIR standard enables him to design sophisticated applications for modern EHR and EMR systems. Ilya is passionate about sharing knowledge and educating others, which is reflected in his presentations at international events and contributions to open-source solutions.
Linkedin ->Software Engineer
CSIRO
Sean Fong is a Software Engineer at the Australian e-Health Research Centre @ CSIRO. He is a member of the FHIR Terminology and Tooling team within the Health Informatics Group.
At CSIRO, Sean develops web technologies focused on Structured Data Capture (SDC) and SMART on FHIR. His work primarily involves implementing efficient, user-friendly interfaces that help healthcare professionals seamlessly retrieve and input clinical information while ensuring secure data exchange across healthcare platforms.
Tech lead
Health Samurai
Tech lead at Aidbox Forms and a full-stack developer passionate about functional programming and building intuitive user experiences.
Over the years, he has worked across various domains—from inventory and university systems to auto-delivery, scheduling, billing, healthcare platforms, and homecare solutions.
In the past few years, he has been deeply focused on the FHIR Structured Data Capture (SDC) Implementation Guide and its real-world implementation.
He enjoys crafting simple, scalable solutions and clean software design.
HL7 FHIR expert
Peretokin Consulting
FHIR expert and healthcare informatics consultant with 10 years of professional experience in integrating HL7 FHIR with systems and pioneering advanced technologies. Experienced in guiding startups, corporations, and governments across Norway, Sweden, Denmark, Finland, Netherlands, Belgium, Israel, and the US through implementation processes. Currently serving as a board member of HL7 Sweden since May 2024.
Engage with leading industry experts as they share their insights and experiences in leveraging SQL on FHIR to transform healthcare data management.
Explore the most recent challenges faced in implementing SQL on FHIR and learn strategies to effectively address these issues.
Discover practical use cases that demonstrate the power of SQL on FHIR in real-world healthcare scenarios, showcasing its impact on data analysis and integration.
Gain valuable knowledge on best practices and innovative solutions for optimizing the use of SQL on FHIR in your healthcare systems.
Engage with leading industry experts as they share their insights and experiences in harnessing FHIR solutions to enhance interoperability and unlock the full potential of healthcare data for organizations and patients.
Explore the latest challenges in implementing FHIR solutions and learn effective strategies to overcome these hurdles, ensuring seamless integration and optimal use of healthcare data across your organization.
Discover practical use cases that demonstrate the power of FHIR in real-world healthcare scenarios, showcasing its impact on interoperability, data sharing, and integration. Explore how FHIR solutions can transform healthcare by enhancing data exchange, improving clinical decision-making, and optimizing care delivery across various healthcare settings.
Gain valuable insights into best practices and innovative solutions for maximizing the potential of FHIR in your healthcare systems, ensuring efficient data exchange, streamlined operations, and improved patient care.
Presentation provides a foundational overview of the Structured Data Capture (SDC) specification. This session will explore how FHIR SDC enhances data capture and exchange in healthcare by standardizing the process of describing forms, collecting clinical data, and storing it in clinical data repositories.
With all modern SDC features, such as population and extraction, it is pretty easy to create a resource. Things become complex when you would like to manage the whole lifecycle. I will demonstrate how you can reuse a single questionnaire for creating and updating a resource. You will know how to use the Provenance resource to track resource changes over QuestionnaireResponse version history and the person who made them.
A walkthrough of the template based extraction process, along with a comparison of how it differs from the other approaches available. Focusing on practical examples and hands on demonstrations you can follow along at home in the fhirpath-lab's form tester.
In this session, we’ll share our experience designing and implementing a user-friendly interface for configuring template-based data extraction.
Our goal was to make a complex process approachable for non-technical users through thoughtful UI/UX choices.
We'll explore key challenges, design decisions, and lessons learned from bridging the gap between technical capability and usability.
A presentation on building Questionnaires with CQL Libraries and using them with the SDC $populate operation. Focusing on the Da Vinci Prior Authorization Burden Reduction DTR use case and building blocks for broader use cases.
This session will explore the use of parameterised ValueSets within FHIR Questionnaires to enable dynamic, context-sensitive option lists. For example, when a user selects a country in one question, the available options for a subsequent state or region question are automatically filtered to match the selected country. Attendees will gain an understanding of how parameterised valueSets can improve user experience, with a focus on the flexibility they provide in interacting with and tailoring ValueSets to specific questionnaire contexts.
This presentation showcases a FHIRPath expression editor designed for non-technical users working with electronic medical forms. The tool provides a low-code environment with a drag-and-drop interface, context-aware auto-completion, and in-place evaluation features. It allows users to create, edit, and test FHIRPath expressions that define dynamic behaviors and calculations within FHIR-based forms. The session will demonstrate how the editor supports the construction and refinement of expressions across varying levels of complexity.
• LHC-Forms, an open-source JavaScript Questionnaire-renderer and SDC form filler
• NLM Form Builder, an open-source Questionnaire builder
• A few other tools such as fhirpath.js, the Clinical Table Search Service, and NLM's UCUM tools
Implementing data sets for patient-reported outcomes is a labourious task when there are thousands of data points per set and there are tens of sets/diseases to implement. Can FHIR Questionnaires help lessen the workload and costs for implementers?
