<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Meddyg — Blog</title><description>Analysis and technical notes on interoperability and digital health.</description><link>https://www.meddyg.com/</link><item><title>Health data, consent and interoperability: the discussion Costa Rica can no longer postpone</title><link>https://www.meddyg.com/en/resources/blog/health-data-consent-interoperability/</link><guid isPermaLink="true">https://www.meddyg.com/en/resources/blog/health-data-consent-interoperability/</guid><description>Costa Rica&apos;s Constitutional Chamber ruling on digital antimicrobial prescriptions isn&apos;t a brake on digital health — it&apos;s the signal that the country needs a national layer of trust for clinical data consent and governance.</description><pubDate>Wed, 06 May 2026 09:00:00 GMT</pubDate><category>Interoperabilidad</category><category>HL7</category><category>FHIR</category><category>Estándares</category><category>Paciente</category><category>Consentimiento</category><author>Ing. Alejandro Benavides</author></item><item><title>Achieving interoperability with EDUS (CCSS)</title><link>https://www.meddyg.com/en/resources/blog/interoperating-with-edus-ccss/</link><guid isPermaLink="true">https://www.meddyg.com/en/resources/blog/interoperating-with-edus-ccss/</guid><description>How we at Meddyg built an alternative Patient Summary viewer with HL7 FHIR, based on the resources EDUS (CCSS) shares today.</description><pubDate>Mon, 13 Apr 2026 09:00:00 GMT</pubDate><category>FHIR</category><category>HL7</category><category>Estándares</category><category>Interoperabilidad</category><category>EDUS</category><category>CCSS</category><category>Visor</category><author>Ing. Alejandro Benavides</author></item><item><title>OpenAI Launches ChatGPT Health</title><link>https://www.meddyg.com/en/resources/blog/openai-launches-chatgpt-health/</link><guid isPermaLink="true">https://www.meddyg.com/en/resources/blog/openai-launches-chatgpt-health/</guid><description>OpenAI announced ChatGPT Health, a dedicated space within ChatGPT for health conversations. A look at HealthBench, its real-world scope, and why FHIR interoperability is the most interesting part for the clinical ecosystem.</description><pubDate>Fri, 09 Jan 2026 09:00:00 GMT</pubDate><category>OpenAI</category><category>Salud Digital</category><category>ChatGPT Health</category><category>HealthBench</category><category>FHIR</category><author>Ing. Alejandro Benavides</author></item><item><title>FHIR: the tip of the interoperability iceberg</title><link>https://www.meddyg.com/en/resources/blog/fhir-tip-of-the-interoperability-iceberg/</link><guid isPermaLink="true">https://www.meddyg.com/en/resources/blog/fhir-tip-of-the-interoperability-iceberg/</guid><description>Interoperability in health isn&apos;t just technology: FHIR is only the visible part of much bigger work across legal, organizational and semantic dimensions.</description><pubDate>Sun, 07 Dec 2025 09:00:00 GMT</pubDate><category>FHIR</category><category>HL7</category><category>Estándares</category><category>Interoperabilidad</category><category>Salud Digital</category><author>Ing. Alejandro Benavides</author></item><item><title>GraphQL on FHIR</title><link>https://www.meddyg.com/en/resources/blog/graphql-on-fhir/</link><guid isPermaLink="true">https://www.meddyg.com/en/resources/blog/graphql-on-fhir/</guid><description>I put GraphQL to the test against real FHIR servers (SG-SICA and HAPI FHIR): the same queries, side by side with REST, measuring response time and payload size. The results: 70% to 80% faster, with much lighter JSON.</description><pubDate>Wed, 05 Nov 2025 09:00:00 GMT</pubDate><category>GraphQL</category><category>HL7</category><category>FHIR</category><category>Estándares</category><category>Interoperabilidad</category><author>Ing. Alejandro Benavides</author></item></channel></rss>