1,676 FHIR-related articles (latest first)
Healthcare and life science data models must comply with multiple international standards to ensure interoperability and protect privacy. Specifically, compliance is required not only with technical exchange standards like FHIR and HL7 but also with the US legal regulation, HIPAA.
This article provides a detailed guide on deploying the FHIR server, Firely Server, onto a Kubernetes environment using open-source Helm charts. It covers the entire process from setting up a local cluster to applying license keys and exposing services.
CData has published specifications regarding the 'Timeout' function when handling FHIR data using its Tableau connector. This setting is a crucial parameter for controlling the maximum waiting time for server responses, preventing prolonged data retrieval processes.
A new Visual Studio Code extension, the 'SQL on FHIRยฎ Toolkit,' has been released. This tool supports the validation and generation processes for View Definitions and datasets based on the FHIR specification, contributing to improved development efficiency.
Kartha-AI has released an MCP (Model Context Protocol) server designed to interact with FHIR resources from public medical research APIs, such as Google Cloud Healthcare API and PubMed. This enables comprehensive access to various clinical and research data.
This article details how to use the AI tool 'Lovable' to generate a frontend UI against an InterSystems FHIR server. The author demonstrates that by providing specific prompts and listing required resources (Patient, Medication, etc.), it is possible to build a ReactJS-based interface.
Researcher Vishal Kumar Jaiswal highlights the challenge of managing vast patient data from EHRs and wearables. Centralized repositories improve efficiency, security, and interoperability by consolidating fragmented records, thereby enhancing healthcare quality.
AIbase has published the repository and installation guide for 'mcp-fhir,' a project implementing the FHIR Model Context Protocol (mcp). This provides a technical foundation for data exchange in the healthcare sector.
Kartha-AI has released a Model Context Protocol (MCP) server designed to interface with the Google Cloud Healthcare API (FHIR) and public medical research APIs. This tool, an enhanced version of the AgentCare MCP Server, facilitates data exchange by communicating with GCH API via Firebase Auth.
The Model Context Protocol (MCP) server, 'Agent Care,' provides medical tools that interact with FHIR data and medical resources from major Electronic Medical Record (EMR) systems like Cerner and Epic. It utilizes SMART on FHIR API and OAuth2 authentication to enable comprehensive clinical analysis.
Kartha-AI announced the MCP (Model Context Protocol) server, 'Agent Care.' This system provides tools to access FHIR data and medical resources from major Electronic Medical Records (EMRs), such as Cerner and Epic, within environments like Claude Desktop and Goose Desktop.
Experts point out that automated interoperability systems are transforming healthcare. Seamless data exchange improves patient care quality, significantly enhancing operational efficiency and safety.
flexpa has introduced the experimental FHIR-based MCP server, '@flexpa/mcp-fhir'. This tool aims to facilitate integration with Large Language Models (LLMs) by providing structured access to FHIR resources. It enables LLMs to utilize medical data as context through URI access and search capabilities.
This article details how to use the FHIR resource 'PractitionerRole' via the Health Gorilla API. This resource allows users to obtain information about known healthcare providers and create new user accounts within an organization.
Rad AI Reporting provides data access based on the HL7 FHIR R4 specification, utilizing OAuth 2.0 as its authentication protocol. The guide details the process of obtaining an access token using a client ID and secret, and subsequently performing read/write operations on Observation resources.
TwoConnect is hosting a free half-day briefing detailing how to modernize healthcare applications using Microsoft Azure and modern technologies. The session will cover opportunities for cloud migration and integration related to FHIR, HL7, and HIPAA.
This article details the technical specification (StructureDefinition) of the UDS Plus Import Manifest. This manifest defines a set of multiple FHIR resources that must conform to common requirements and structures, serving as a foundation for data integration interoperability.
This article explains FHIR (Fast Healthcare Interoperability Resources), a standard for medical data exchange. It details how additional constraints can be imposed on basic resources, including field mandatory requirements (cardinality), value limitations (binding), array element restrictions (slicing), and complex validation rules (FHIRPath).
Aidbox has introduced an advanced FHIR resource browser that moves beyond simple JSON display. This enhancement provides type-specific, human-readable data formats (e.g.,
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.).