Antrazal provides standardized, real-time healthcare data interoperability to connect multiple systems. Specifically, it achieves seamless data synchronization between EHRs, labs, and billing platforms through the development of FHIR-based APIs and configuration of HL7 interfaces.
Clover Health partnered with Kno2 to achieve real-time patient-directed access to claims data on a CMS aligned network using FHIR standards. This establishes a mechanism for seamless data exchange among healthcare providers and patients.
Hospital das Clínicas (HC) is strengthening data linkage through OpenCare Interop to address the long-standing issue of fragmented patient information. The system aims to safely share electronic health record data using AI, based on the HL7 FHIR standard, enabling all healthcare providers to have a comprehensive view.
The US ASTP/ONC proposed a deregulatory rule (HTI-5) for health data interoperability. While promoting FHIR-based APIs and revising information blocking definitions, industry groups like AHA and WEDI are demanding the retention of privacy/security standards and adequate transition periods.
MuleSoft Anypoint Platform provides a system API designed to link data from the legacy HL7 v2 format with the modern FHIR standard. This enables seamless data exchange between different generations of healthcare information systems.
A working group aimed to comprehensively map interoperability initiatives and stakeholders related to FHIR within the German healthcare sector. The goal was to create a foundational resource for experience sharing and community building.
Health Samurai launched Formbox, a form management platform. It replaces fragmented, paper-driven workflows with a unified system that clinical teams can control themselves.
A FHIR-first mobile architecture addresses the growing need for healthcare data exchange, enabling large-scale interoperability. This approach is expected to enhance patient engagement and provide timely access to accurate information for healthcare providers.
The Swedish healthcare information system, Kanta.fi, is addressing how to model supplementary 'control' and 'annotation' notes within its medication list (Phase 3) using FHIR. This effort aims to standardize and improve the interoperability of detailed annotation and management information in clinical data.
Detailed specifications are published for the FHIR R4 ResearchElementDefinition API instance, provided by MuleSoft. This information covers version 1.0.x and details its conformance status and associated rulesets.
This article provides profile information for the US healthcare provider, DAWN MARIE JOHNS, from the NPPES NPI Registry. She is registered as a Nurse Practitioner (RN, BSN, NP-C) with multiple practice locations. Notably, the inclusion of an FHIR URL suggests potential integration with electronic health record systems.
This article provides detailed technical steps for securely connecting a custom Python microservice to OpenEMR using the SMART on FHIR OAuth2 flow. It covers the entire process, including client registration, token introspection, and critical setup considerations like scope management and hostname resolution.
To solve the problem of AI 'hallucination' when querying vast, versioned FHIR specifications in healthcare IT, a development team built a Model Context Protocol (MCP) server. The article analyzes the shortcomings of traditional RAG and API designs, detailing why MCP was adopted to provide structured data access and outlining the local-first architecture.
This paper discusses using Health Level 7's FHIR (Fast Healthcare Interoperability Resources) to facilitate real-time data exchange in life-critical scenarios. It highlights that leveraging FHIR's event-based mechanism moves away from traditional batch processing, enabling timely and appropriate treatment through readily available data.
This article addresses the problem of 'Interface Drift' in healthcare data flows, explaining an AI-driven approach for continuous monitoring and self-remediation. This capability detects semantic failures caused by changes in EHRs or interconnected systems, enabling safe and auditable corrections.
This document provides the FHIR profile mapping specification to support the EHR/KTC MVP Workflow (Phase 0 & Phase 1). It outlines implementation guidelines based on standards like US Core and IPS, targeting interoperability engineers and integration architects.