Search results for "LOINC": 168 articles
The AI Assistant in Aidbox Forms automates the entire workflow, generating FHIR-compliant Questionnaires, extraction logic, and analytics-ready ViewDefinitions from plain language requests. This significantly shortens the cycle of clinical form creation and improves data utilization efficiency.
本記事は、ヘルスケア業界におけるデータ共有と相互運用性の課題を背景に、主要な標準規格（FHIR, HL7, IHEなど）について基本的な知識を提供する。特に、これらの技術がどのように医療データの構造化と交換を実現しているかを解説する。
The open-source FHIR MCP Server enables access to medical data via natural language interfaces. This article provides a detailed review and comparison of the server's features and several related alternative projects (e.g., FHIR-PYrate, HealthChain).
Synthetic EHR offers a platform that accelerates healthcare innovation through strategic partnerships and developer ecosystem collaboration, built on privacy-first principles. By utilizing FHIR-native synthetic data, it removes regulatory barriers and achieves seamless integration via an API-first approach.
This page provides an interface for searching and managing medical concepts and code systems through the Unified Medical Language System (UMLS). Users can reference diverse coding standards—including FHIR, LOINC, and HCPCS—and view detailed definitions to create value sets.
AWS HealthLake utilizes the FHIR Bundle structure for handling resources. This feature distinguishes between two processing modes: 'Batch' mode, which processes independent data groups, and 'Transaction' mode, ensuring all operations succeed or fail together.
This article introduces an open-source FHIR MCP Server built on the Model Context Protocol (MCP). This tool allows users to access healthcare data using natural language, reducing the need for deep FHIR expertise and mitigating risks like AI-generated code errors.
本記事は、コードシステムにおけるマッチング検索を行うためのFHIR OperationDefinition「find-matches」について解説している。この操作は、指定されたコード・値のプロパティセットに基づいて、一致する可能性のあるコードを複数取得することを目的としている。
This solution utilizes natural language processing to support the entire process, from creating FHIR Questionnaires to generating ViewDefinitions. This eliminates the gap between data collection in clinical settings and analysis, achieving efficient standardization.
This article demonstrates how detailed breast lesion data, such as from mammography, is structured using the FHIR Observation resource. It presents specific data elements to show a mechanism where clinical findings (like BIRADS assessment) are electronically recorded and exchanged according to standard specifications.
Healthcare organizations can achieve advanced interoperability by adopting open standards like FHIR and establishing data exchange and governance. This is a strategic priority that improves care coordination and supports decision-making.
NIH released the LHC-Forms widget, enabling the rendering of FHIR Questionnaire resources within web pages.
FHIR offers a modern solution to the challenge of data fragmentation in electronic medical records and billing systems. The article explains how FHIR has become a global standard for data exchange, improving patient care and data access through its future evolution (such as R6).
The Regenstrief Institute released the latest version of LOINC (version 2.81), adding Arabic for Jordan and Czech for the Czech Republic. This expands LOINC's language support to 22 languages, significantly boosting global healthcare data interoperability.
This article is the first installment of a series providing an overview of HL7 FHIR (Fast Healthcare Interoperability Resources). The author, approaching the topic as a non-expert in medical IT, shares insights into the steep learning curve and practical challenges of FHIR. It presents both conceptual understanding and practical approaches for structuring medical data.
HL7 Patient Care WG Steward published a ValueSet for assessing depressive states. This set includes multiple reliable screening tools, such as PHQ-9 and GDS, mapped to LOINC codes. This is expected to improve the standardization and interoperability of mental health data.
Querium is a customized IDE built specifically for FHIR and SMART on FHIR. It assists clinicians, data engineers, and healthtech platforms by improving usability and ensuring compliance when handling complex medical data.
This article introduces a Rust crate that integrates the UCUM core library with FHIR, enabling unit conversion and equivalence checking between different units. The developer demonstrated how this tool can be used to validate and utilize `Quantity` type values found in FHIR Observation data across various units.
This system is a Model Context Protocol (MCP) server that enables seamless interaction between Large Language Model (LLM) agents and FHIR-compliant backends. This allows users to query and manipulate clinical data using natural language prompts.
This entry presents a sample of a lab report using the FHIR Composition resource provided by MyHealth@Eu. This example demonstrates how to structure and represent laboratory results and documented information in a standardized format, contributing to improved interoperability in healthcare.