19/05/2026
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๐๐๐ยฎ ๐๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐๐ ๐๐๐ญ๐ ๐๐๐ฉ๐ญ๐ฎ๐ซ๐ (๐๐ฟ๐พ) ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ญ๐ซ๐๐ง๐ ๐ญ๐ก๐๐ง๐ฌ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ซ ๐๐๐ฉ๐๐๐ข๐ญ๐ฒ ๐๐จ๐ซ ๐๐ง๐ญ๐๐ซ๐จ๐ฉ๐๐ซ๐๐๐ฅ๐ ๐๐๐๐ฅ๐ญ๐ก ๐๐๐ญ๐ ๐๐ฏ๐๐ซ ๐๐ก๐ซ๐๐-๐๐๐ฒ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐จ๐ซ๐ค๐ฌ๐ก๐จ๐ฉ
May 15, 2026 โ A critical push to standardize and unify the countryโs electronic health records concluded this week as the three-day FHIRยฎ Structured Data Capture (SDC) Training successfully wrapped up.
From 13 to 15 May 2026, around 25 software developers, programmers, and health IT specialists across the Asia-Pacific participated in the intensive online course, organized by the University of the Philippines Manila National Telehealth Center (NTHC), and CSIRO Australia, through the Strengthening Standards Capability Project (SSCP). The training course is a major step toward enhancing health data interoperability and supporting the development of a unified Health Information Exchange.
The three-day technical course focused on building participantsโ capacity to implement FHIR-based data structures using the Structured Data Capture (SDC) standard. Sessions progressed from foundational concepts โ covering FHIRยฎ SDC, QuestionnaireResponse, and QuestionnaireResponse resources โ to deeper exploration of the FHIRยฎ SDC Implementation Guide and the SDC capabilities, and finally to real-world applications and use cases.
SDC enables digital health forms to function as โsmart formsโ, allowing responses to be automatically converted into structured, standards-compliant data without manual encoding. This ensures that high-quality data is captured at the point of entry and is immediately ready for integration into national health repositories and interoperable systems.
The training was led by Mr. Ilya Beda, HL7 FHIRยฎ Architect and co-founder of Beda Software, who guided participants through hands-on codelabs using various FHIR tools and platforms to design, implement, and test structured data capture workflows.
By the end of the course, participants gained practical experience in building โSMARTโ forms with SDC capabilities that can pre-populate as well as validate to improve data quality, reduce redundancy, and support more efficient and interoperable digital health systems across healthcare settings. The training reinforces the countryโs push toward standards-based digital health transformation and the broader adoption of FHIR in national health information systems.
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