Salud Digital 2026: hacia una red interoperable, inteligente y centrada
コロンビアを含むラテンアメリカは、データに基づいたリアルタイムなケアモデルへの移行を加速させている。HL7 FHIRなどのオープン標準とAI活用により、患者中心の安全で効率的な医療システム構築を目指している。
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1,676 FHIR-related articles (latest first)
International: 1,676 articles
Automating Patient Care Coordination and Alerts using EHR/FHIR, GPT-4, etc.
This workflow automates patient care coordination and alerts by utilizing EHR/FHIR, GPT-4, and Twilio to monitor appointment schedules and clinical events. This eliminates manual follow-up and missed appointments, achieving HIPAA-compliant patient engagement at scale.
N8NFHIRGPT-4Twilio
EHR/EMR and FHIR Integration Challenges: A CTO Guide for Telehealth
This guide, aimed at CTOs, addresses the complex challenges of integrating Electronic Health Records (EHR) and Electronic Medical Records (EMR) using FHIR standards. Since data silos and poor information exchange are major obstacles in telehealth development, it provides guidance on appropriate architecture patterns and cost/timeline estimations.
Cloud Healthcare API for Processing FHIR, HL7v2, and DICOM Data
The Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By utilizing this API, users can ingest industry-standard data formats—FHIR, HL7v2, and DICOM—and connect them to advanced capabilities like BigQuery and machine learning engines.
The Importance of Selecting an FHIR Implementation Partner for Healthcare Systems
This article outlines the criteria healthcare leaders must evaluate when selecting a suitable implementation partner based on the FHIR standard, which is the backbone of modern healthcare interoperability. It emphasizes that comprehensive perspectives are needed, including technical capabilities, EHR integration experience, resource modeling, and security design.
NASSCOM
Data Liquidity is Key: Healthcare IT Transformation Beyond 2026
Facing an explosion of global medical data, organizations are shifting focus from simple record retrieval to ensuring 'data structure and liquidity.' The AI-powered model utilizing the Philippines has demonstrated high efficiency and regulatory compliance through FHIR-compliant workflows.
Insurance Edge
Achieving Advanced Healthcare Transformation through Interoperability and AI
This article explains how to achieve true interoperability beyond simple data exchange by leveraging the HL7 FHIR standard. By using services like Azure Health Data Services, clinical data is centralized into a unified Lakehouse in FHIR format, building a foundation with high 'data liquidity.'
Claude AI Enhances Role in Healthcare and Life Sciences: Improving Interoperability and Data Utilization
Advanced AI model Claude has expanded its capabilities for use in healthcare and life sciences. Through the introduction of HIPAA-compliant tools and various connectors, it aims to improve operational efficiency in clinical settings, particularly enhancing the accuracy of prior authorization and claims processing.
Sağlığa Odaklanan Claude for Healthcare Tanıtıldı! - R10 Blog R10
Anthropic announced the availability of Claude for Healthcare, enabling developers to build health applications using the FHIR standard.
Anthropic
Claude for Healthcare: Will AI Solve the Administrative Burden? A Physician's Review
Anthropic announced Claude for Healthcare, aiming to automate processes like prior authorization and integrate with EHR systems. The author reviews this technology, discussing its potential efficiency gains and the broader implications for medical practice.
Peking University Resources and Trivitron Partner to Launch Digital AI Platform for Global Healthcare
Peking University Resources, through its health division ResoHealth, has formed a strategic partnership with Trivitron Healthcare to launch a digital health plan called “Trivitron Digital AI.” This platform aims to revolutionize healthcare services in India's second and third-tier cities, addressing the lack of advanced digital infrastructure.
Anthropic Launches 'Claude for Healthcare' AI Assistant for Medical Field
Anthropic has released 'Claude for Healthcare,' an AI assistant designed for healthcare providers and insurance organizations. The tool operates in a HIPAA-compliant environment, supporting complex medical tasks such as verifying insurance coverage and medical coding.
Anthropic Launches Claude for Healthcare, Expanding Life Sciences Capabilities
Anthropic announced the launch of 'Claude for Healthcare,' an AI tool compliant with HIPAA. This provides new functionalities for healthcare providers, payers, and consumers, while also expanding support into life sciences.
Anthropic Launches Specialized Medical AI 'Claude for Healthcare': Enhanced FHIR Support and Life Sciences Integration
Anthropic officially launched 'Claude for Healthcare,' a specialized AI tool compliant with HIPAA. The tool supports connections to CMS databases and ICD-10 coding systems, adding new features like FHIR development capabilities and pre-authorization review agent skills for providers, payers, and consumers.
FHIR R4-Compliant Real-Time Patient Monitoring Dashboard for Interoperable Healthcare Data Integration
Researchers at Isik University developed a real-time patient monitoring dashboard compliant with FHIR R4. This platform tracks vital signs and manages clinical observations, aiming to facilitate personalized care delivery by integrating with existing Electronic Health Record (EHR) systems.
b2Match
Enhancing Healthcare Interoperability with the FHIR Developer Agent Skill
Anthropic's 'FHIR Developer Agent skill' improves interoperability between healthcare systems via Claude Code. This skill provides specialized knowledge based on the HL7 FHIR R4 standard, assisting in clinical data validation and REST API construction.
Healthcare Data Architecture 2025: Designing a Unified, AI-Ready Framework
Modern data architecture is necessary to effectively utilize the massive amounts of data generated by hospitals and health systems. The goal is to overcome siloed environments and build a reliable information foundation based on standards like FHIR.
FHIRHL7
MAIVE AI Platform Supports Clinical Reasoning in Medicine: Achieving Multimodality and Interoperability
The next-generation medical AI platform, MAIVE, enables advanced reasoning from complex clinical data using a large context window and multimodal understanding. Designed with interoperability standards like FHIR, it is expected to have high compatibility with Japanese EHR systems.
iEHR
Definition of ValueSet for Cardiac Arrest (FHIR R4)
This page is a reference defining the ValueSet for 'Cardiac Arrest,' which is based on ICD-10-CM codes. The set includes multiple specific codes covering various causes, such as those related to underlying conditions and pregnancy.
FHIRInternational🏛Med Ledger 365 ; MedConnect365 ; Xylemed ; Kypath Associates Inc.EnrichedJan 7, 2026
EHRSummarizer: A Privacy-Aware, FHIR-Native Architecture for Structured Clinical Summarization of Electronic Health Records
This work proposes EHRSummarizer, a privacy-aware, FHIR-native reference architecture. It retrieves targeted high-yield FHIR R4 resources from electronic health records (EHRs) and normalizes them into a consistent clinical context package to generate structured summaries that support chart review.