BMG fördert Tiplu-Forschungsprojekt zu intersektoralem FHIR-Datenmodell
ドイツの連邦保健省(BMG)は、Tiplu社による「分野横断的FHIRデータモデル」開発プロジェクトを支援する。本プロジェクトは、電子患者記録(ePA)における健康データの標準化と相互運用性を高め、医療提供や研究、公衆衛生への活用を目指す。
Search results for "FHIR": 3,717 articles
ドイツの連邦保健省(BMG)は、Tiplu社による「分野横断的FHIRデータモデル」開発プロジェクトを支援する。本プロジェクトは、電子患者記録(ePA)における健康データの標準化と相互運用性を高め、医療提供や研究、公衆衛生への活用を目指す。
The German Federal Ministry of Health (BMG) is promoting the development of an 'intersectoral FHIR data model' with Tiplu GmbH. This aims to standardize and improve interoperability of healthcare data across sectors within the electronic patient record (ePA), facilitating better treatment quality and research utilization.
Taiwan's National Health Insurance (NHI) has updated its pre-screening guidelines for cancer drug use, providing the data structure for 'Genetic Testing Organizations' in FHIR format. This aims to ensure consistency and standardization when handling genomic information in clinical settings.
HHS/ONC/CMS will host a webinar providing an overview of the suggested Quality Data Collection and Reporting (QCDR) measure development and evaluation processes. The session will review available resources for developing new or updating existing measures.
The Ministry of Health and Welfare (MOHW) has presented a '333' blueprint to advance Taiwan's digital healthcare. This aims to institutionalize data governance, security, and AI usage across three major areas, enhancing international competitiveness.
Medical device teams recognize that integration with Electronic Health Record (EHR) systems is as critical as performance and accuracy. Consequently, enterprise-grade integration services, which ensure reliable data exchange, have become the decisive factor in medical device adoption.
The Australian Medical Association (AMA) argues that government legislation is necessary to break down silos in digital health and mandate data sharing among software providers.
This article explores how implementing microservices architecture using the HL7 FHIR standard can solve persistent problems in healthcare information systems, such as data fragmentation and inefficient workflows. This approach enables the realization of patient-centered care that is highly scalable and resilient.
The Centers for Medicare & Medicaid Services (CMS) is transitioning from electronic clinical quality measures (eCQMs) to FHIR-based digital quality measures (dQMs). This shift aims to improve interoperability and data sharing, reducing reporting burdens for providers while supporting automated, real-time quality insights.
This article addresses the persistent hurdle of achieving true interoperability in healthcare IT, explaining how combining the HL7 FHIR standard with microservices architecture provides a solution. This combination enables the creation of systems that are scalable and resilient enough to support patient-centered care.
Curatrix has ranked U.S. healthcare software development companies based on advanced criteria. Top-ranked firms demonstrate deep expertise in standards like FHIR and HL7, offering advanced solutions utilizing AI/ML.
As national interoperability frameworks advance, 'geofencing' is insufficient. When a patient with a serious illness (e.g., cancer) relocates to another state, the continuity and coordination of their care may be compromised because critical records and test results are unlikely to follow them seamlessly.
本ページは、医療提供者「DAEMEON ACHILLES NICOLAOU MD」氏に関するNPI(National Provider Identifier)情報を公開している。この情報は、個人の識別子に加え、複数の診療所の住所や連絡先、そしてFHIRを利用した電子健康記録へのアクセス情報を含んでいる。
This document provides an overview of the Fast Healthcare Interoperability Resource (FHIR) and its implementation guide for India's Ayushman Bharat Digital Mission (ABDM). It emphasizes data exchange and interoperability, detailing how various clinical artifacts and resource profiles are used for practical adoption.
Netsmart provides FHIR R4 APIs enabling secure, standards-based access to healthcare data across provider and payer organizations. This supports regulatory compliance (like the 21st Century Cures Act) and modern interoperable workflows.
This article explains how telemedicine platforms can connect to Electronic Health Record (EHR) systems using HL7 FHIR R4 standards, achieving seamless data interoperability. This allows for the real-time synchronization of clinical data, such as patient information and appointment management.
Agentic AI refers to systems that autonomously take action toward a goal, going beyond simple question answering. To realize this advanced capability, standardized data access and mechanisms for action provided by FHIR are essential.
The author argues that new AI interfaces, such as 'MCP apps' deployed by Anthropic and OpenAI, are fundamentally changing the healthcare sector. They suggest that this shift overcomes data integration challenges, ushering in an era where patients can gain insights based on longitudinal health records from multiple sources.
Roche points out that a robust digital infrastructure is essential for safely managing and integrating medical data, which is necessary to utilize artificial intelligence (AI) and advanced diagnostic technologies within healthcare systems. The utilization of data exchange standards like HL7 and FHIR is crucial for building this infrastructure.
Googleは、大規模な電子健康記録(EHR)データを扱うためのAIエージェント「EHR Navigator Agent」を開発した。このエージェントは、Fast Healthcare Interoperability Resources (FHIR) 規格に基づき、患者の複雑な医療記録から必要な情報を抽出・統合する能力を示すデモンストレーションである。