Search results for "SNOMED": 38 articles
CDC has published a comparison detailing the differences in major medical data elements between version 1.0.0 and the current build. The report indicates that significant updates, including breaking changes, have occurred across multiple standards such as LOINC and SNOMED CT.
The American Medical Association (AMA) announced an interoperability initiative to support electronic prior authorization by developing and deploying mappings from SNOMED CT® to CPT®. This aims to reduce administrative burden and improve data exchange in clinical settings.
研究者らは、大規模言語モデル（LLM）が電子カルテの臨床データを活用するための基盤として、「Atrium」というオープンソースの参照モデルコンテキストプロトコル（MCP）サーバーを提案した。これはFHIR R4エンドポイントを公開し、SMART-on-FHIR認証を通じて安全にデータアクセスを可能にする。
Oracle Health has published the FHIR API endpoint specifications for the Specimen resource within its AI application suite. This specification defines how specimen information—used for diagnostic and environmental testing—is collected, maintained, and processed, encouraging developers to begin implementation in anticipation of production availability.
The 'Browse Code Systems' page, provided by the National Institutes of Health (NIH), offers comprehensive functionality for referencing and managing diverse medical code systems. Users can search and verify information related to diseases, drugs, and procedures based on various standard specifications such as UMLS and LOINC.
メディケア・アドバンテージ計画におけるデータエンジニアリングの課題として、CMSが要求するFHIR R4 APIへの対応と、プロバイダーネットワークから流入するC-CDAドキュメントの両方を処理するパイプライン構築が必要となっている。本記事は、両規格を同時に扱うためのアーキテクチャ設計と、それぞれの標準がデータスタックのどの部分で機能するかを解説している。
This article introduces expertise in developing complex healthcare integration systems for highly regulated areas like FHIR R4 and TEFCA QHIN connectivity. The focus is on building robust audit trails, ensuring reproducibility of HEDIS measurement pipelines, and maintaining HIPAA compliance.
An EHR partner built a robust FHIR R4 platform to address data exchange challenges across multiple healthcare networks. This achieved comprehensive resource coverage and implemented strict security measures, meeting complex industry requirements.
West Coast Informatics appointed Regis Charlot, an expert in healthcare data standardization and semantic interoperability, to its board of directors. This move responds to the growing demand for clinical data infrastructure capable of supporting artificial intelligence applications, highlighting the industry's increasing focus on data structuring.
This article compares FHIR and custom REST APIs regarding their roles in exchanging risk adjustment data within the healthcare sector. It explains that APIs are foundational to system integration, enabling real-time data exchange and moving beyond traditional batch processing or manual workflows.
West Coast Informatics announced the launch of AutomapAI™, a platform that transforms fragmented clinical data into standards-aligned, AI-ready assets. The tool automatically performs semantic normalization on local codes and unstructured text, enabling healthcare organizations to reduce integration costs and establish advanced analytical foundations.
Healthcare organizations face challenges due to inconsistent terminology used for diagnoses and tests. A FHIR Terminology Server addresses this interoperability hurdle by providing standardized vocabularies like SNOMED CT and LOINC through a single API.
This service provides synthetic (dummy) patient data conforming to multiple standards, including FHIR R4 and HL7 v2.4. This enables the testing and integration validation of Electronic Health Record (EHR) systems and interface engines without accessing real patient information.
HeyDonto AI Technology announced the close of a seed funding round at a $200 million valuation, aiming to accelerate the deployment of 'Conduit,' a standards-based interoperability platform connecting dental systems to the broader healthcare ecosystem. The platform aims to bridge the structural gap of integrating dental data into the national health information infrastructure.
The HIMSS 2026 event highlighted that while Artificial Intelligence (AI) remains a central focus, the discussion has shifted beyond mere technological disruption toward operational efficiency and patient-centered care.
An expert in healthcare APIs points out that while FHIR is the standard, significant inconsistencies exist in implementation and data quality. The article warns that even for the same patient data, information varies depending on the API pathway, making mere 'compliance' insufficient.
This article introduces Kodjin, an analytics platform designed for the healthcare industry undergoing a profound data revolution. Built on HL7 FHIR standards, it integrates diverse medical data to provide actionable clinical and operational insights.
クラウドヘルスオフィスは、メディケアアドバンテージなどの支払者プラットフォーム向けに、標準化されたFHIR R4 APIとCMS-0057-Fへの準拠を提供する。これにより、事前承認やデータアクセスが改善され、2027年1月1日までに義務付けられる規制に対応する。
New York State is advancing interoperability efforts for behavioral health records.
A Standards and Regulatory Frameworks Workgroup has developed an action plan to enhance interoperability between patient applications (apps) and Electronic Health Records (EHRs). The plan recommends utilizing FHIR APIs, aiming for standardized data exchange that includes write access for observation data and questionnaires.