Epic provides specifications for FHIR R4 web service access.
Epic Systems published specifications related to accessing the FHIR R4 web service. This indicates ongoing support and implementation of the FHIR standard for healthcare data exchange.
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Epic Systems published specifications related to accessing the FHIR R4 web service. This indicates ongoing support and implementation of the FHIR standard for healthcare data exchange.
The discussion focused on utilizing FHIR-based integration patterns to improve patient outcomes. These strategies aim to enhance the overall quality of care through standardized data exchange.
fhir.ch released a new StructureDefinition related to ch-etoc-immunization. This resource contributes to the standardization of immunization data within the Swiss healthcare ecosystem.
The content explains the structure and usage of FHIR R4 resources. This information helps users understand the foundational concepts and various resources within the FHIR standard.
Azalea Health presented its solutions utilizing FHIR standards at the HIMSS23 conference. The initiative aims to help underserved providers overcome operational and interoperability hurdles.
J Michael Consulting offers comprehensive video training designed for public health laboratories. This training aims to strengthen capabilities using the HL7 FHIR standard.
A guide was released detailing how to integrate MedGemma with FHIR (Fast Healthcare Interoperability Resources). This integration supports the development of advanced healthcare artificial intelligence.
The Australian Digital Health Agency created a Consent CDA Class that adheres to the Clinical Document Architecture (CDA) and incorporates an Australian Schema. This development leverages FHIR standards to manage consent documentation within the Australian digital health ecosystem.
The Australian Digital Health Agency released a FHIR Implementation Guide (IG) detailing the JSON representation for patient emergency contacts. This update supports the My Health Record system's interoperability standards.
An implementation guide was released detailing the JSON representation for the krcore-sp-observation-code. This guide is part of the KR Core Implementation Guide v2.0.0, built using the FHIR standard.
IHE released a ValueSet containing Confidentiality Codes for ePA (electronic Patient Record). This set is designed to support the technical implementation of ePA within the German healthcare system.
The discussion focused on the technical and integrity implications of using FHIR Consent for healthcare data sharing. This addresses the need for standardized, interoperable methods to manage patient consent across different systems.
FHIR format examples specifically addressing antibiotic resistance are now available in Taiwan. This resource aims to standardize data exchange for antimicrobial resistance information.
Microsoft has implemented support for US core profiles within its Azure FHIR service. This feature addresses the need to identify specific FHIR artifacts from the US core 6.1 Implementation Guide.
HL7 Korea released a specific KRCore resource component related to Observation Component Code Value Quantity. This update contributes to the standardization of healthcare data exchange within South Korea.
HL7 has released a JSON representation for RxNorm terminology, specifically within the HL7 Terminology (THO) v7.1.0 release. This update integrates drug nomenclature (RxNorm) into the broader FHIR-based terminology framework.
An example representation for Finnish scheduling was published using the FHIR R4 standard in XML format. This resource provides a structured example for implementing scheduling data within the FHIR framework.
The Da Vinci Health Record Exchange (HRex) Author released a new version (v1.2.0) of its FHIR specification. This update provides the technical details for the Da Vinci Health Record Exchange standard.
A workshop was announced focusing on combining FHIR standards with AI technologies. The event is designed to be hands-on and highly rated.
A new open-source tool, MedSentinel, was developed for monitoring critical patient conditions. It connects to existing Hospital Information Systems (HIS) using standard healthcare APIs like FHIR and HL7.