Search results for "FHIR": 1,661 articles
This study reports on the development and cross-system sharing of a hybrid electronic health record (EHR)-native and SMART-compatible Clinical Decision Support (CDS) tool designed to automate smoking cessation treatment for caregivers during pediatric visits. It demonstrates its effectiveness as a data sharing model, providing new guidelines for disseminating complex CDS tools.
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.
A new Java library has been released to simplify the handling of FHIR Dosage data structures. This tool provides functionality to convert Dosage objects into human-readable text and extract specific fields.
Driven by digital health technologies, pharmaceutical product labeling is transitioning to electronic Product Information (ePI) and utilizing the Fast Healthcare Interoperability Resources (FHIR) standard for data exchange. This shift moves from paper-based formats to structured data, aiming to improve efficiency and patient safety across entire healthcare systems.
As digitalization advances, closed IT systems hinder data sharing and innovation. The article explains how using standardized information structures (ZIBs) and HL7 FHIR can enhance data reusability and accessibility, leading to more efficient and higher-quality patient care.
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.
This page is a reference defining the FHIR ValueSet for 'Transmission of Visit Record' in electronic healthcare information exchange. This ValueSet structures a dataset that includes specific procedure codes, facilitating interoperability between medical institutions.
No specific organization or initiative was identified in the snippet.
Computable Publishing LLC has published a clinical variable definition,
Google announced that its next operating system, Android 16, will enhance the Health Care service. This update is expected to store users' electronic medical records in FHIR format, improving data exchange efficiency and healthcare information management.
EHR systems are transforming modern healthcare by improving clinical workflows and redefining patient care quality. By adopting interoperability standards like FHIR, data exchange is streamlined, leading to enhanced diagnostic accuracy and efficiency through remote monitoring.
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。
Michael Lawley from the Australian e-Health Research Centre (AEHRC) attended a Digital Health Interoperability Bootcamp held in Manila, Philippines. The event gathered diverse participants with a common goal: improving how health data is stored and exchanged. A key focus was placed on implementing FHIR terminology.
A joint project between universities aims to enhance healthcare security and utilize AI-driven data analysis techniques using the HL7 FHIR standard. The focus includes identifying vulnerabilities in FHIR servers, improving treatment pathways via process mining, and performing automatic mapping to codes like SNOMED-CT.
Microsoft Azure's FHIR servers are forgiving regarding non-conforming data because resource creation and update validation is off by default. However, some validation still occurs for specific elements, and enabling profile validation requires explicit header settings, necessitating caution about potential operational surprises.
Smile Digital Health, a provider of FHIR-based solutions, secured a $15 million credit financing agreement with FirePower Capital. This funding will enable the company to accelerate the development and expansion of its market-leading health data platform and innovative solutions for the healthcare sector.
Because HL7 FHIR is structured using nodes and edges, it is highly compatible with graph databases. This enables advanced analysis of complex medical data relationships (e.g., disease traceability, fraud detection) that were difficult to achieve with traditional relational databases.
MedTech company Posos, specializing in medical data structuring, and vendor InterSystems announced a partnership. This collaboration aims to improve the accuracy and safety of drug prescriptions using AI, facilitating integration into hospital software.
This article introduces how to utilize the 'Examples' tab found on FHIR resource documentation pages. This feature provides sample resources, including complete test data for various use cases (e.g., Encounter, Observation), available in raw JSON format.
Medtech expert Posos and data technology provider InterSystems announced a technological partnership. This collaboration aims to enhance the performance of Posos' AI-assisted medical prescription solutions in France and internationally.