Search results for "FHIR": 1,661 articles
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.
A developer struggled to extract information from a FHIR Bundle Response using FHIRPath.API, encountering difficulties with syntax and application methods. The solution involved processing the JSON data as a dynamic object via QuickStream, successfully extracting target information such as MRN and names.
As the importance of healthcare data sharing grows, migrating from traditional HL7 to the more flexible and real-time FHIR standard is essential. This improves interoperability across diverse platforms like EHRs and telemedicine, contributing to better patient care.
While Electronic Health Record (EHR) systems face challenges in seamless data exchange, the SMART on FHIR framework enables plug-and-play app development, achieving seamless integration. This allows providers to access real-time, patient-centered data, improving care quality and efficiency.
This article provides a technical sample showing how a specific medical questionnaire, the 'New Patient Questionnaire,' is structured as an FHIR resource. The questionnaire includes items designed to collect basic patient information such as allergy status, gender, date of birth, and country of birth.
A Python-based MCP server simulates FHIR API interactions, enabling agent testing in the MedAgentBench environment without requiring a real FHIR endpoint. It supports rapid verification and complex scenario simulation during development and validation stages.
This article introduces the Model Context Protocol (MCP) based 'Agent Care' server. This server securely connects to major Electronic Medical Record (EMR) systems like Cerner and Epic using SMART on FHIR API, making FHIR data accessible. Its purpose is to facilitate clinical data analysis and research support through AI model integration.
This article demonstrates the procedure for sending a `Patient` resource to a specific API endpoint using the POST method. The request utilizes test data, including personal information such as names and dates of birth, confirming the handling of medical data based on the FHIR standard.
HAPI FHIR has published detailed class hierarchy information for the `ca.uhn.fhir.merge` package. This provides developers with technical structure details concerning resource and provenance merging processes.
This page is part of the implementation guide for 'Health Terminologies,' which is based on FHIR (HL7ยฎ FHIRยฎ Standard) R4. It provides information regarding a resource set definition called 'ValueSet: JDV_J281_StatutsRessourcesMS - Demande,' noting that there are currently no specific requirements for this resource.
The page explains how to use Simplifier.net for FHIR resources that have a canonical URL. It clarifies that this tool makes it easy to reference these standardized URLs, which are otherwise inaccessible through regular web browsers.
Firely and HL7 International jointly released the '2025 State of FHIR' report. The findings reveal that while FHIR is becoming a global standard, significant challenges remain regarding regulatory enforcement, version control, and funding in various countries.
Digital healthcare company Firely has made its FHIR server product, 'Firely Server Scale,' available through the Microsoft Azure Marketplace. This product offers a scalable FHIR API suitable for both development and full-scale production use, supporting the construction of comprehensive healthcare IT solutions.
This page provides comprehensive test definitions for basic CRUD (Create, Read, Update, Delete) operations based on the FHIR 4.0.1 standard for electronic health records and clinical documentation. Test scenarios are covered for specific resource types like MedicationRequest and NutritionOrder, detailing JSON/XML formats using both client-assigned and server-assigned IDs.
This article provides an example of structuring detailed medical service information (psychology/psychiatry) using the HL7 FHIR standard. This demonstrates how complex clinical data and specialized service metadata can be exchanged in a standardized, machine-readable format.
This article details the technical specification of the `StorageJson` class in FHIR R4. This class provides functionality for storing data in JSON format, defining multiple methods related to database operations and data persistence.
This document details how to retrieve specimen data using the FHIR R4 API on the Oracle Health Millennium Platform. It demonstrates that multiple specimens can be searched and retrieved in a single request by utilizing resource IDs and query parameters.
Atlas Systems developed PRIMEยฎ Provider-Payer Connect to solve the problem of data silos between providers and payers, enabling efficient healthcare information sharing. By providing a FHIR-compatible space, it facilitates data exchange for various uses, such as credentialing and billing.
The hapi-fhir library provides `TestDataFactory.TableLookupFunction` for data referencing within the FHIR Path Engine. This is a technical structure designed to enable complex path processing by performing table-like lookups of specific data.
HAPI FHIR provides a Plain Server module to create an FHIR server endpoint against arbitrary data sources, such as custom databases or existing clinical systems. It also offers a complete RESTful server implementation backed by a database.