Search results for "FHIR": 1,661 articles
FHIR, despite its potential for widespread data exchange, is experiencing slow adoption. Key barriers include high conversion costs and the inherent complexity of its resource-based model, which pose significant challenges to internal development teams accustomed to simpler standards like HL7 v2.
Simplifier is hosting a product update webinar on May 20, 2025. The event will showcase multiple key updates across Simplifier.net, Forge, and Firely Terminal, including new features and private package feeds for flexible FHIR development.
For analyzing QuestionnaireResponse resources, utilizing the FHIR Bulk Data Access IG $export is recommended for large-scale data analysis and quality reporting. This method bypasses pagination overhead from individual GET requests, enabling efficient extraction of structured data.
This page provides a comprehensive list of technical test definitions for multiple standards, including FHIR (Fast Healthcare Interoperability Resources). Specific tests confirm basic operations related to resources such as Subscription, Substance, and Task, using IDs assigned to either the client or the server.
Aidbox Forms developed an AI engine that analyzes and parses legacy PDF medical forms, automatically generating them as interoperable FHIR Structured Data Capture (SDC) Questionnaires. This addresses the challenge of migrating data from paper-based records to digital formats.
Dr. Carina Vorisek, a digital health innovation leader, highlights 'data interoperability' as the primary obstacle to AI adoption in healthcare. She notes that LLMs struggle to structure unstructured text into standardized medical terminology, emphasizing that solving data standards and interoperability is crucial for practical AI deployment.
This study assesses whether the drug Aralast NP, an Alpha-1 Antitrypsin (AAT) formulation, can slow the progression of new-onset Type 1 Diabetes Mellitus (T1DM). Part I focused on dose-escalation studies to evaluate pharmacokinetics (PK), pharmacodynamics (PD), and safety.
This article discusses the implementation of healthcare data standards using HL7 FHIR. It analyzes challenges in data management and system interoperability within complex organizations from the perspective of agile development and process improvement.
Data & AI consultancy XponentL announced seven enterprise-ready data products powered by Databricks. These solutions aim to help diverse industries, including life sciences and healthcare, operationalize complex datasets and accelerate AI adoption.
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.