1,676 FHIR-related articles (latest first)
ใตใณใธใฅใฉใปใใณใๆฐใฏใ15ๅนดไปฅไธใฎ็ต้จใๆใคๅป็ITๅฐ้ๅฎถใจใใฆใใฏใฉใฆใใใคใใฃใใชใขใผใญใใฏใใฃใจAIใๆดป็จใใใทในใใ ๆง็ฏใซๅใ็ตใใงใใใ็นใซFHIRๆบๆ ใฎๆจๆบใๅฉ็จใใๅฅณๆงใฎๅฅๅบทใ่จๅบใฏใผใฏใใญใผๆนๅใซ่ฒข็ฎใใฆใใใ
For payers and healthcare organizations, FHIR compliance is more than just meeting regulatory requirements. This article outlines comprehensive steps to overcome specific challenges associated with FHIR implementation, aiming for enhanced patient care and operational efficiency.
CeHA (Istanbul Technical University) participated in the international healthcare informatics event, 'IHE Connectathon Week,' and successfully acquired eight new credentials (Seals/Credentials) for profiles related to FHIR. This increases the total number of official certifications to 23.
The Google Open Health Stack team has released 'Kotlin FHIR,' a new open-source library supporting the FHIR data model. This enables consistent development of FHIR applications across multiple platforms, including Android, iOS, and Web.
HL7 has released the ValueSet specification for 'MFN Record-level Error Return,' defining concepts related to code status values for requested master file record update operations. This aims to standardize error information generated during data updates, enhancing interoperability.
Civitas Networks for Health hosted a webinar series with HL7 and various FHIR Accelerators (including Gravity Project, CARIN Alliance). The series explored how FHIR can advance health data exchange and improve interoperability in healthcare.
This study comprehensively analyzes the anticancer mechanism of gambogic acid by integrating computer science and biomedicine. It proposes multidimensional strategies for overcoming traditional treatment challenges by utilizing standards like FHIR and RDF, and applying AI techniques to integrate disease information and clinical data.
HL7 has published the specification for a code system, "Living Dependency (2.3 - 1.0.0)", which identifies specific living conditions relevant to evaluating patient healthcare needs. This information is intended for use in discharge planning and is structured using FHIR standards.
CData has announced the 'FHIR MCP Server,' a read-only Model Context Protocol (MCP) server designed for Large Language Models (LLMs). This server provides an interface allowing users to query live FHIR data without requiring SQL knowledge.
This article is a technical specification for the class HS.FHIR.DTL.vSTU3.Model.Element.TestScript.rule. This rule is designed to be used within test scripts, defining validation logic within FHIR's data structure.
InterSystems has published a data structure designed to predict outcomes related to diseases or conditions. This structure incorporates probabilistic information and temporal constraints, aiding advanced risk assessment in clinical settings.
Black Book Research released survey results evaluating how healthcare IT solutions are advancing patient safety, timed for World Patient Safety Day (September 17). Over 3,200 international tech users participated, assessing vendors from multiple angles including clinical outcomes and operational effectiveness.
This study proposes 'FHIR-RAG-MEDS,' a system that integrates HL7 FHIR with Retrieval-Augmented Generation (RAG). The goal is to enhance personalized medical decision support by utilizing evidence-based clinical guidelines.
As healthcare data becomes complex and fragmented, FHIR, developed by HL7, provides a standardized framework to improve data exchange and interoperability. This enables efficient collaboration among providers, insurers, and researchers, contributing to the realization of patient-centered care.
ePI Digital Solutions addresses the challenge of critical pharmaceutical knowledge being trapped in non-structured formats like PDFs and offers a solution to convert this data into validated, structured FHIR R5 XML. This capability is crucial for adapting to the transition toward electronic Product Information (ePI) within the European Union.
This paper addresses the complex challenges of integrating and ensuring interoperability of healthcare data, which is exacerbated by the rapid adoption of Artificial Intelligence (AI). It proposes a new data integration model leveraging HL7 FHIR standards combined with cloud APIs to achieve optimal patient care while maintaining regulatory compliance.
This article introduces a configurable Model Context Protocol (MCP) server designed to interact with FHIR APIs. The server enhances security and usability by incorporating AI-powered clinical insights, detailed resource management, and support for multiple authentication methods.
This study proposes the 'FHIR-RAG-MEDS' system, which integrates Health Level 7 FHIR with a Retrieval-Augmented Generation (RAG)-based system. The goal is to improve personalized medical decision support based on evidence-based clinical guidelines.
Rad AI Reporting utilizes deep-linking via a custom protocol to directly access specific FHIR resources within the desktop application. This streamlines the report creation process linked to data such as ImagingStudy.
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.