Search results for "FHIR": 1,661 articles
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 content provides a collection of articles focusing on Fast Healthcare Interoperability Resources (FHIR), detailing strategies and implementation examples for hospitals and healthcare providers. It highlights that FHIR is becoming the global standard for electronic health record (EHR) data exchange, with increasing focus on its adoption trends and technical challenges.
This page explains FHIR, a standard for medical data exchange. FHIR defines the data format and elements (called 'resources') and serves as an Application Programming Interface (API) for exchanging electronic health records.
This article provides a comprehensive catalog of various development and content projects utilizing Clinical Quality Language (CQL). It details diverse resources, including toolsets and specific medical guidelines, demonstrating the advancement of FHIR-based clinical reasoning functionality.
The article discusses how to support smarter, more appropriate decision-making in healthcare by utilizing predictive AI. It aims to improve patient care quality by linking clinical evidence with advanced AI analysis through standardized data linkage using standards like FHIR®.
CData Software provides a JDBC driver compatible with FHIR, which allows users to specify the database tables to be accessed during connection. This feature improves performance when retrieving information from large data sources and enables filtering down to specific views.
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 article provides a detailed comparison of FHIR and OpenEHR, two major standards for managing and exchanging electronic health data. It analyzes the unique strengths and design philosophies of each standard to provide guidelines on how to choose between them based on specific use cases (data exchange vs. structured clinical record keeping).
Google announced that the next OS, Android 16, will integrate support for the FHIR format into the Health Connect app. This feature could facilitate future management of medical data and electronic health records.
Rien Wertheim, CEO of Firely, explains the data standard FHIR. He states that FHIR, based on modern API technologies, is being adopted by governments, care providers, and health tech companies to achieve affordable, accessible care and efficient cross-institutional information exchange for patients and doctors.
This article details the process of adding authentication (AuthN) capabilities to HAPI FHIR. It describes how to achieve Single Sign On (SSO) using a combination of open-source tools: OAuth2 Proxy, Nginx, and Keycloak.
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.
Fragmented medical records and system incompatibility hinder care delivery. The article explains how achieving true interoperability through advanced technologies like FHIR and AI can enable secure, seamless data exchange.
Technology Org explored the application and impact of FHIR R4 standards on modern healthcare interoperability.
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.
本ページは、FHIR標準に基づき、「推定分娩日」を扱うリソースプロファイル「DeliveryDateEstimatedFromLMP」の例と詳細な定義を提供している。これは、モバイル産科サマリーの一部であり、IHEのガイドラインに沿ったデータ交換のための仕様書である。
Amaron has released 'FHINDR,' a user-friendly tool designed to visualize and query FHIR data repositories. This application allows developers without deep technical knowledge to perform complex queries and visualize structured data from various FHIR repositories.
IRI provides a tool to locate and de-identify Protected Health Information (PHI) within FHIR EDI files.
A ValueSet named 'Cytogenetic Testing Performed' has been published, involving organizations like the American Society of Clinical Oncology (ASCO). This ValueSet includes multiple CPT codes related to cytogenetic testing on cells such as bone marrow, supporting standardized documentation for diagnosis and treatment within medical records.
AValueSet named 'Depression Screening Scale' has been published, involving stakeholders such as the American Society of Clinical Oncology (ASCO). This ValueSet aggregates various SNOMED CT codes representing different depression assessment scales and clinical situations into a standardized FHIR format, contributing to structured data in medical records.