The presentation, delivered by Ilya Beda at the FHIR® SDC Conference in June 2025, focuses on managing the resource lifecycle with SDC (Structured Data Capture). It explores how SDC can drive the creation, editing, and extraction of FHIR resources using advanced techniques like FHIRPathMappingLanguage and template-based extraction. The talk addresses practical challenges such as tracking change history, managing context in QuestionnaireResponses, and handling version-specific references. Real-world solutions and demos illustrate how Questionnaires serve as a bridge between FHIR data and user interfaces, enabling user-friendly change tracking and flexible data projections. The presentation emphasizes that while SDC IG is powerful for complex scenarios, sometimes custom approaches are necessary for sophisticated real-world implementations.

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June 25, 2025
Free of charge
Recorded conference
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Topics & Speakers

Managing resource lifecycle with SDC

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.

Ilya Beda
HL7 FHIR expert
// Bio

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.

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Aidbox FHIR Platform

Aidbox is a developer-friendly FHIR platform where everything remains under your control. Build your enterprise-grade digital healthcare apps and systems using a habitual tech stack and suitable cloud infrastructure: Google, Azure, AWS, or on-premises.

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