1,676 FHIR-related articles (latest first)
A healthcare IT expert explores how artificial intelligence (AI) and cloud-native solutions are transforming the healthcare industry by modernizing data management, claims processing, and patient services. This addresses legacy system limitations and achieves significant operational efficiency.
A digital health expert stresses that solving data interoperability is prerequisite to widespread AI adoption in healthcare. The core challenge lies in the fragmentation of structured clinical text data, making international standards like FHIR and SNOMED CT essential.
Mylab announced its new SaaS solution, 'My+'. This system integrates all laboratory disciplines onto a single platform using real-time analysis and AI, contributing to faster, more accurate diagnoses and improved healthcare outcomes.
No specific organization or initiative was stated; the content was a general discussion about the foundational role of FHIR and SNOMED in AI.
本記事は、電子カルテシステム間の情報共有を可能にするための主要な相互運用性（インターオペラビリティ）標準規格について解説している。特に、HL7やFHIRといった技術的な枠組みと、SNOMED CTやLOINCのような共通語彙の重要性を説明し、医療システムの連携がなぜ不可欠かを論じている。
This page details the structure and constraints of the 'ror-practitioner' resource type within the FHIR standard. This resource is designed to handle information about practitioners involved in providing healthcare services, including definitions for elements like identifiers and names.
SAP emphasized that FHIR offers value beyond mere interoperability and compliance, detailing how it can be utilized. It states that building applications equipped with extensibility, security, and analytics capabilities is possible.
Computable Publishing has published evidence data regarding 'Thoughts of Self Harm' from clinical trial NCT05110014 as an FHIR EvidenceVariable. This variable measures suicide risk based on a screening question and aims to enhance interoperability among healthcare datasets.
Google Cloud announced the phased deprecation of multiple features, including the Cloud Healthcare Annotations API and Healthcare Natural Language API. Users are advised to transition using FHIR resources or migrate to Gemini models on Vertex AI.
Computable Publishing社は、FHIR EvidenceVariableリソースを用いて「Physical Disability (NCT04360538)」という変数のデータを公開した。これはMRC神経筋評価に基づくものであり、臨床試験の結果を標準化された形式で扱うための基盤を提供する。
This article defines a set of resources that conform to the FHIR structure definition `eclaire-contact-type` intersecting with itself. It details specific field constraints, including extensions and value restrictions.
The FEvIR® platform, provided by Computable Publishing LLC, offers an environment to view medical resources based on the FHIR standard. The platform allows users to examine data in multiple formats, such as JSON or text, and provides information on the latest versions (v1.34.0).
A specific outcome measure has been defined on the FEvIR platform, detailing the count of participants meeting certain criteria. This metric tracks the number of individuals whose Patient Health Questionnaire (PHQ-9) score exceeds 14 and who are not currently taking medication for depression.
Google revealed initial details of its next OS, 'Android 16,' at a developer event. Key features include enhanced privacy controls and significant improvements to health data sharing via Health Connect 2.0, adhering to the FHIR standard.
This article provides a technical guide on building an Artificial Intelligence-powered Clinical Decision Support System (CDSS). By analyzing EHR data and patient information, the system aims to enhance medical decision-making by providing diagnostic support and treatment planning recommendations.
Sonata Software Ltd. proposes solving data interoperability challenges in the healthcare and life sciences sectors using Azure Health Data Services and FHIR standards. This solution enables system integration, including ingesting data from EMR/EHRs and streaming data from MedTech devices.
By utilizing the HL7 FHIR standard, accurate and secure data exchange is possible across diverse healthcare systems, including Electronic Health Records (EHRs). This facilitates real-time access to patient information and improves operational efficiency in clinical settings.
Zibs (Care Information Building Blocks) are a mechanism for establishing common agreements among multiple healthcare providers regarding the meaning of medical concepts. This process centralizes the characteristics and definitions of concepts—such as 'blood pressure'—making them reusable across various information systems and international data exchange standards like FHIR.
A C#-based Model Context Protocol (MCP) server provides functionality for handling FHIR R4 data. This allows developers to perform CRUD operations and searches in a local environment, facilitating the automation of clinical data management workflows using AI assistants.
This document details the technical specifications for MyHealthWay's 'AllergyIntolerance Profile.' Based on HL7 FHIR standards, this profile structures allergy information and provides detailed mapping methods to multiple data formats (RIM Mapping, FiveWs Pattern, HL7 v2).