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.).
This article introduces the 'MCP Server for Google Cloud Healthcare API,' which enables interaction with FHIR resources and medical research APIs. Using this server, users can search patient data (vitals, medication history) and also access advanced medical research information from PubMed and ClinicalTrials.gov.
Multiple major research centers are adopting eSource technology utilizing standards like FHIR to overcome challenges of data duplication and manual processes. This enables real-time data linkage and AI utilization, promising significant improvements in trial efficiency.
This article summarizes a research paper published in the International Journal of Retina and Vitreous. The focus is on the challenges of data sharing and privacy in developing AI using retinal images, emphasizing compliance with Brazil's General Data Protection Law (LGPD).
Solidsoft Reply has become a recognized member of INTEROPen, an initiative accelerating open standards for interoperability in the health and social care sector. The company plans to utilize FHIR standards on Microsoft Azure for areas such as Medication Management and Integrated Care Systems.
The WHO SMART Trust has published a technical definition for the 'Receiver' actor, based on FHIR standards. This defines system requirements for participants in a Trust Network to receive and utilize verifiable content from a Holder.
This system is a dedicated server that provides patient data extracted from Electronic Health Records (EHR) to external AI/LLMs via the Model Context Protocol (MCP). This enables AI agents to perform data analysis and searches through standardized, secure interfaces.
Kartha-AI's 'Agent Care' connects with Electronic Medical Records (EMR) like Cerner and Epic through an MCP server. This enables access to medical resources using FHIR data, facilitating comprehensive clinical analysis.
Informatica provides a technical guide detailing the functionality and usage of its FHIR connector for data integration. It specifically explains how to configure the Secure Agent when an organization uses an outgoing proxy server to connect to the internet.
Large Language Models (LLMs) are expected to revolutionize healthcare, but their practical implementation faces a major hurdle: data. The article highlights that structured data formats, such as FHIR, present specific challenges when processed by LLMs.
Even when adopting FHIR in new projects, technical expertise alone is insufficient. Deep domain knowledge and understanding of clinical workflows are critical because simply introducing new technology without foundational knowledge risks derailing the entire project.
HL7 FHIR provides a structured and flexible framework for data exchange, enhancing health interoperability. By defining core 'Resources' and customizing them with 'Profiles,' it enables standardized data sharing.
MediRecords has published a new extension specification, the 'Condition Active status as mentioned for a Family Member Extension,' based on FHIR v4.0.1. This aims to track whether a specific condition of a family member is currently active, thereby improving data granularity in interoperability.