3,748 FHIR-related articles (latest first)
UNMIRI LLC has launched a precision oncology software platform that converts next-generation sequencing reports into citation-grounded clinical data. This set of APIs normalizes multi-vendor data into FHIR R4 Genomics format, providing reliable decision support.
CENS, in collaboration with OPS/OMS, unveiled a prototype connecting remote monitoring devices (telekits) to electronic health records. This aims to integrate fragmented medical data using international standards, facilitating high-quality care delivery remotely.
This guide outlines the implementation guidelines for the xShare Yellow Button, based on FHIR R4. Implementers must first 'claim' their conformance by specifying supported features and roles, and then 'prove' it by meeting detailed technical requirements.
Brendan Keeler examined the data access patterns of athenahealth, an Electronic Health Record (EHR) system known for its openness. While the company is recognized for its developer-centric approach, it was pointed out that the system is not truly headless or fully decoupled, suggesting persistent gaps in data access.
台湾の衛福部は、患者の重複検査や資料不統一の問題を解決するため、国際標準であるLOINCを核とした医学検査データの交換基盤を構築した。これにより、国内での「全国通」および国際的な「グローバル通」を実現する。
The Ministry of Health and Welfare (MOHW) is holding the 'LOINC Medical Testing Data Standardization Achievement Presentation' to promote medical data standardization and smart healthcare development. The event highlights the importance of establishing a nationwide, unified testing data structure by adopting the international standard code LOINC, along with various practical application cases.
Spaarne Hospital, as the first pathology department in the Netherlands, has provided pathology data (including incidence reports) to the national cancer registry using the HL7 FHIR standard. This achieves international standardized healthcare data exchange and significantly improves the management and future-proofing of oncology data.
The World Health Organization (WHO) has released version 1.6.0 of the 'WHORegionalOffices' code system. Built on the FHIR standard, this aims to standardize regional identifiers and enhance interoperability for global healthcare data.
Leopoldina criticizes the current state where data (such as EHRs and lab results) remain trapped in 'technical silos.' It argues that ensuring interoperability through standards like FHIR, based on FAIR principles, is urgently needed.
Certified centers are significantly improving post-fall care by closely integrating orthopedic surgery and geriatrics. Simultaneously, digital follow-up workflows are enabling the seamless transfer of hospital inquiries into nursing CRM processes.
欧州病院薬剤師協会（EAHP）は、院内自動化システムにおける標準的な通信基盤として、FHIRベースのプロトコルを策定した。これは、異なるメーカーのロボット間での情報共有を可能にし、将来的に処方・薬局業務・ロボットから患者投与までの一連の流れの相互運用性を実現する第一歩となる。
行政院は、AIや生技分野の進展に伴い、医療資料標準化とデータ連携の重要性を再認識した。これを受け、全国的な電子カルテ相互運用を実現するための基盤として「FHIR Box」の導入を推進する方針を示した。
学術機関や専門家は、デジタルヘルス分野での利活用最大化のため、FAIR原則に基づく統一的かつオープンな標準（FHIRなど）の確立を求めている。これに対し、現場では既にFHIRベースのシステム連携事例が確認されている。
WellQuestPro announced a platform designed to counter the risks of 'shadow AI' in hospitals by providing auditable and governed enterprise clinical AI. The goal is to deliver advanced intelligence at the point of care while ensuring safety and governance.
Health plans are required to fundamentally change how prior authorization (PA) is managed and exchanged due to the CMS Interoperability and Prior Authorization Rule, effective January 1, 2027. This webinar provides practical steps for operational transformation based on regulatory requirements and industry commitments.
This article demonstrates a method for converting scanned PDF electronic health record data into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. This pipeline extracts information from over 50 clinical fields without requiring template configuration, making historical patient data securely and massively accessible to modern clinical systems.
As healthcare data utilization increases, FHIR and OMOP are often compared. However, this article argues that the true challenge is not choosing between them, but establishing a robust strategy for 'semantic normalization.' Long-term success depends on strategic approaches like terminology governance and concept normalization.
This article details how to build a pipeline that converts unstructured paper medical records (PDFs) into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. This serverless system automatically extracts and integrates structured clinical data without manual effort or custom ML models.
ClearStars introduces Pulsar, an electronic clinical quality measure engine. Built FHIR-first for providers and value-based care organizations, it helps derive prioritized, patient-first insights from clinical data in a shorter timeframe.
The 'FHIR Converter' provided by ms-azuretools is a tool that enables the conversion of legacy formatted health data into FHIR, expanding the use cases and interoperability of health data. The security assessment confirms its vulnerability status and malware presence.