Search results for "LOINC": 168 articles
Google has published guidelines for handling medical data through Android Health & Fitness. This system adopts the HL7 FHIR format, providing a mechanism to uniformly manage and link various types of medical information (allergies, conditions, medications, etc.).
Multiple major research centers are adopting eSource technology utilizing standards like FHIR to overcome challenges of data duplication and manual processes. This enables real-time data linkage and AI utilization, promising significant improvements in trial efficiency.
Large Language Models (LLMs) are expected to revolutionize healthcare, but their practical implementation faces a major hurdle: data. The article highlights that structured data formats, such as FHIR, present specific challenges when processed by LLMs.
Microservices structure applications as loosely coupled, independently deployable services. HL7 FHIR (Fast Healthcare Interoperability Resources) enhances the efficiency of medical data linkage and development by providing standardized resource models and terminology management capabilities.
Mapping healthcare data to FHIR is a critical step for achieving interoperability. The article outlines key considerations, such as assessing source data alignment with FHIR resources and standard terminologies (SNOMED CT/LOINC), establishing the right team structure, and adopting an MVP approach for successful implementation.
CapMinds addresses systemic issues stemming from reliance on legacy HL7 feeds and custom scripts by providing a standardized API architecture. This enables the safe and rapid movement of data, supporting integration across clinical and billing systems.
IHE profiles provide guidance for digital data exchange, distinguishing them from technical standards like DICOM or HL7.
This article explains the importance of 'Interoperability,' which enables seamless data exchange between different healthcare systems, devices, and applications. By utilizing the Health Information Exchange (HIE) Suite, diverse health-related data, including electronic health records, can be integrated in real-time to support high-quality care and faster decision-making.
IHE has published a new FHIR resource profile, 'Fetal Movement Reported,' as part of the Mobile Antepartum Summary. This provides a standardized structure for recording fetal movement during prenatal checkups, contributing to improved interoperability of medical information.
This article addresses the challenges of data modeling in Electronic Health Records (EHRs), explaining that openEHR offers superior flexibility and extensibility. By comparing it with the data exchange standard FHIR, it argues that openEHR is superior for long-term clinical data management and adapting to new concepts.
This article explains how to mock a mental health discharge summary using Node.js API, demonstrating the implementation of a FHIR-compliant record. The content provides both server-side and client-side code examples, illustrating the technical steps required for real system integration.
A discussion was held regarding the proper method for grouping multiple Observations within the FHIR standard.
The article discusses the utilization of FHIR Terminology Services to ensure consistent representation of clinical data.
In FHIR, the Conditional Update mechanism allows resources to be updated using a search URL instead of a direct ID. The server first performs a search; if a resource matches, it is updated, otherwise, a new resource is created.
Multiple international initiatives, including HL7 FHIR and ART-DECOR, highlight the necessity of unified terminology services for comprehensive clinical data, such as end-of-life care. These efforts aim to integrate major code systems like SNOMED CT and LOINC into the FHIR ecosystem to improve data interoperability.
This page provides the definition of a ValueSet designed to handle healthcare data related to Quality of Life (QoL). The set includes multiple LOINC codes primarily associated with respiratory symptoms and Activities of Daily Living (ADL), indicating its use in clinical data collection.
本ページは、レジオネラ属菌の検出に関する複数の臨床検査項目をまとめたFHIR ValueSetの定義を示す。具体的には、喀痰や尿など様々な検体タイプにおける培養・同定法による陽性反応を含む9つのLOINCコードが網羅されている。
SMART Health Cards released a ValueSet providing codes to identify qualitative results related to infectious diseases. This code set is built using major medical standards like SNOMED CT and LOINC, aiding data exchange in clinical settings.
When building healthcare data, it is sometimes necessary to define proprietary terminology (custom terminology). This article explains the proper procedure for doing so, which involves utilizing a FHIR CodeSystem resource and updating ValueSets.
The definition of a ValueSet called 'Tobacco Use Screening' has been published by NCQA PHEMUR. This ValueSet includes multiple LOINC codes, providing a standardized data structure for the exchange of tobacco use status in healthcare information.