Multiple international initiatives, including HL7 FHIR and ART-DECOR, highlight the necessity of unified terminology services for comprehensive clinical data, such as end-of-life care. These efforts aim to integrate major code systems like SNOMED CT and LOINC into the FHIR ecosystem to improve data interoperability.
This article explains the process by which 'ZIB (Zorginformatiebouwsteen),' a conceptual model describing care data, is converted into a technically usable format. This conversion utilizes HL7 FHIR to ensure data consistency and interoperability, enabling a shift away from closed electronic health record systems toward open information sharing beneficial for research and quality improvement.
This page is a reference defining the FHIR ValueSet for 'Transmission of Visit Record' in electronic healthcare information exchange. This ValueSet structures a dataset that includes specific procedure codes, facilitating interoperability between medical institutions.
HINS, in South Korea, provides comprehensive standards (KR CDI) necessary for medical data exchange among various sectorsโhospitals, public/private entities, and patients. The site serves as a rich resource, offering both international standards like FHIR and SNOMED CT, alongside unique domestic core data structures, which is highly relevant for improving interoperability in Japan's healthcare IT sector.
A joint project between universities aims to enhance healthcare security and utilize AI-driven data analysis techniques using the HL7 FHIR standard. The focus includes identifying vulnerabilities in FHIR servers, improving treatment pathways via process mining, and performing automatic mapping to codes like SNOMED-CT.
Medtech expert Posos and data technology provider InterSystems announced a technological partnership. This collaboration aims to enhance the performance of Posos' AI-assisted medical prescription solutions in France and internationally.
This page provides the definition of a FHIR ValueSet that aggregates multiple SNOMED CT codes related to indwelling Foley catheters. This ValueSet encompasses various types of male and female catheters made of silicone or latex, contributing to the standardization of medical information.
HealthSage AI launched an open AI platform featuring three clinical applications aimed at streamlining physician workflows. The platform utilizes an optimized Large Language Model (LLM) to improve administrative tasks, billing accuracy, and data exchange.
CMS DRLS Steward has provided information on a comprehensive ValueSet (2.16.840.1.113762.1.4.1219.34) covering various concepts related to diabetes mellitus disorders. This set is based on SNOMED CT version 20220301 and encompasses a wide range of diabetic conditions and associated diseases.
This document defines the structure for an Observation resource, including systolic and diastolic blood pressure components, based on the FHIR standard. This aims to standardize the handling of vital sign data within healthcare information systems.
The Australian Digital Health Agency has published a technical example demonstrating how to structure location information using the FHIR standard. This case details a pharmacy, 'Large Allied Chemists Limited Randwick NSW,' expressing detailed healthcare data such as its address and service type (Community pharmacy) in a standardized format.
SMART Health Cards released a ValueSet providing codes to identify qualitative results related to infectious diseases. This code set is built using major medical standards like SNOMED CT and LOINC, aiding data exchange in clinical settings.
When building healthcare data, it is sometimes necessary to define proprietary terminology (custom terminology). This article explains the proper procedure for doing so, which involves utilizing a FHIR CodeSystem resource and updating ValueSets.
This article discusses SNOMED CT, HL7, and FHIR 3rd Edition (2016), which are fundamental standards for health interoperability. Understanding these technical principles is essential for building modern electronic health record systems and data exchange infrastructures.
This document outlines critical components for integrating patient medication information into electronic health records in New Zealand. It focuses specifically on the FHIR standard's Medications module and coding standards, emphasizing that achieving semantic interoperability requires robust information models.
A FHIR ValueSet defining standard codes for 'Abdominal Hysterectomy' has been published. This ValueSet integrates definitions of related surgical procedures from multiple standards, such as ICD-10 and SNOMED CT, contributing to standardized terminology in healthcare information exchange.
South Korea has established a comprehensive standard called KR CDI (ํ๊ตญ ํต์ฌ๊ต๋ฅ๋ฐ์ดํฐ), providing a framework for data exchange across medical institutions, public/private sectors. The system strengthens the domestic healthcare information linkage by incorporating international standards like SNOMED CT and offering validation using FHIR resources.
The American Academy of Ophthalmology Steward published a ValueSet containing multiple ICD-10-CM codes for specific ophthalmic conditions, such as Keratoconus. This resource supports the use of standardized diagnostic information in healthcare data exchange.
A FHIR ValueSet defining 'cancer type' for primary neuroendocrine solid cancers has been published for medical oncology services in New Zealand. This ValueSet utilizes standards like SNOMED CT and includes multiple specific condition codes.