Search results for "FHIR": 1,661 articles
In a healthcare setting facing data sharing challenges, a development team enhanced the reference information within FHIR's EpisodeOfCare resources. This embedded contextual details like patient identifiers and facility names, significantly improving data searchability, usability, and interoperability across multiple systems.
This presentation proposes a solution to healthcare interoperability challenges using platform engineering principles. It details how an AI-enhanced, multi-layered architecture based on FHIR can securely and efficiently share fragmented patient data.
This paper presents a prototype ETL pipeline that uses pure functions to enrich patient data. The pipeline focuses on the process of converting Electronic Health Record (EHR) data into a knowledge graph, utilizing HL7 FHIR resources and RDF.
特定の拡張機能「AS Installation Extension」が持つ構造的制約を、FHIRリソース間で比較・統合した結果を示す。この定義は、両方の拡張要件を満たす共通のデータセットを特定するために利用される。
Researchers developed an open-source compiler called MaLaC-HD to solve the performance issues of executing FHIR Mapping Language (FML). This tool compiles FML code into Python, achieving data transformation speeds nearly 100 times faster than existing tools.
This page provides information regarding an HL7 FHIR converter offered by the AI, ChatGPT. Users can utilize this tool to handle healthcare data according to standard specifications.
WHO released the data dictionary for SMART DAK PNC (v1.0.0). This guide defines a minimum set of data corresponding to various workflow points in the PNC process, usable for service delivery and decision support logic implementation. It is based on the FHIR R4 standard.
A workshop titled 'Canadian HealthCareService FHIR API Specification Workshop' was hosted by Tim Berezny. The event aims to build the FHIR API specification for specific Canadian healthcare services.
Whitebrick automated a complex, manual workflow between two disparate systems—an EHR for appointments/charts and a CRM/ERP for billing/leads—by leveraging n8n with custom FHIR and HL7v2 nodes. This integration significantly improved operational efficiency.
ESEMED Healthcareのダニエル・マルティネス・カンカ氏が、AIを用いた乳がん（BRCA-AI）プロジェクトでハーバード大学医学部において国際的に2位という成果を収めた。本プロジェクトは、単なる予測に留まらず、患者や社会構造的な課題に対応する個別化された介入を提供する点が評価された。
MyHealth@Eu has published the technical specification for 'Laboratory Result Content,' which is based on FHIR (HL7® FHIR® Standard) R4. This standard provides a structured data format for clinical laboratory result reports (LabReport), expected to become a standard reference point for healthcare information exchange.
CData has released a connector that enables live access and direct querying of FHIR data within Tableau. This allows users to visualize and analyze FHIR data without complex setup.
This article introduces a development project utilizing React.js and FHIR (Fast Healthcare Interoperability Resources). It serves as a page demonstrating the setup and basic structure of a development environment, rather than providing detailed functional or technical explanations.
This study proposes a method for integrating multiple medical information systems using Health Level Seven (HL7) and FHIR. It is an academic effort that presents a concrete solution to the complex challenge of data linkage.
Helios Software has released the Helios FHIR Server (HFS), a high-performance FHIR server. This product supports full RESTful API functionality and multiple FHIR versions, enabling its use as a robust foundation for healthcare data exchange.
When searching for FHIR resources, the query parameter `_sort` can be used to sort the returned results based on specific criteria. This allows developers to precisely control the display order of the retrieved data.
University researchers presented research findings on integrating medical information systems using Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR). The study demonstrates the potential for data linkage through a specific case study.
This study demonstrated that Patient-Generated Health Data (PGHD) from wearable devices can be integrated into the European Health Data Space (EHDS) using FHIR standards. By utilizing Garmin devices and a Fitrockr hub, a prototype was built to securely transfer structured data.
FHIR (Fast Healthcare Interoperability Resources) is a technology that enables the standardization and exchange of medical data. Utilizing this in the cloud solves data sharing challenges, contributing to higher quality patient care and research advancement.
FHIR Lab provides a sandbox environment for testing and validating standards-based digital health solutions.