Search results for "FHIR": 3,717 articles
AI tools can automate repetitive mapping tasks and detect errors in complex HL7/FHIR integration projects, significantly reducing development time. However, the article stresses that human expertise remains essential for clinical judgment and system-level design.
The 'Entscheider-Event' discussed the progress of digitalization in the German healthcare economy. Participants shared successful key projects and highlighted crucial future technical challenges (cybersecurity, FHIR-based e-records), while also raising structural issues across the entire industry.
Ilya Beda, CTO of Beda Software, has worked on over 30 digital health projects based on FHIR over the past decade. Through his experience developing 'Kinnexus,' a quality indicator app for Australian aged care facilities, he discusses the potential and value of a truly connected healthcare ecosystem.
An open-source AI agent logged into Epic's patient portal, 'MyChart,' granting access to patient data. This capability surpasses traditional FHIR-based APIs and TEFCA services, highlighting the urgent need for broader EHR integration strategies.
The World Health Organization (WHO), in partnership with organizations like the Alliance for Health Policy and Systems Research, has launched a three-year initiative across ASEAN countries. The goal is to transition from paper-based health records to secure, interoperable Digital Health Wallets (DHWs). This aims to address gaps exposed during the pandemic and improve continuity of care, especially for populations that frequently cross borders.
The WHO has released the 'ICVPSD' profile, a specification based on the FHIR standard. This document provides technical specifications for handling specific medical data, including concrete implementation examples in XML and JSON formats.
HL7 Austria has provided the 'Core Practitioner Role Profile' as part of its FHIR Core Implementation Guide. This resource profile defines the role of a healthcare professional (Practitioner) based on the FHIR standard.
While FHIR has greatly improved data access in healthcare, the resulting information overload causes 'data fatigue.' The article explains that solving this problem requires moving beyond mere data collection to using AI to prioritize insights and embed them directly into clinical workflows, thereby generating concrete actions.
Function, a Texas-based healthtech startup, partnered with Perplexity Health to introduce an AI connector. This integration allows users to unify fragmented medical data, such as lab results and clinical summaries, accessing personalized, data-driven health insights on a single platform.
Apple will publish an FHIR API endpoint on the Health app within three days.
According to on-site interviews with healthcare leaders attending HIMSS26, the most highly anticipated topics are Artificial Intelligence (AI), FHIR/interoperability, and the quality of providers' data sets. These elements are seen as driving the future evolution of healthcare systems.
While data exchange has advanced, true healthcare system interoperability requires consistently interpreting the 'meaning' of data. FHIR plays a crucial role not only by enabling structured data exchange but also by facilitating semantic interoperability through standardized coding and terminology.
athenahealth has released event-driven APIs, continuing its investment in the developer ecosystem. This upgrade improves upon previous complex data retrieval methods, signaling a new phase of competition among EHR platforms.
This article explains how clinical data, originating from systems like EHRs or lab platforms, can be made usable in other applications through standards such as APIs and FHIR. True interoperability is not merely file transfer; it is essential for supporting continuous care and improving patient safety.
This article outlines a three-stage architecture for automating and scaling 'member appeals' against denied healthcare claims. It details the technical approach, utilizing standards like FHIR and HL7, progressing from basic LLM wrappers through RAG implementation to specialized domain models.
Perplexity AI launched 'Perplexity Health,' integrating diverse personal health data from sources like EHRs and Apple Health into its AI search engine. The goal is to provide users with personalized, context-aware health insights.
FHIR (Fast Healthcare Interoperability Resources) standardizes data sharing between lab systems and hospitals/research institutions, eliminating the need for custom interfaces. This ensures that lab data can follow patients and be used consistently across entire medical records.
G_NIUS introduces major events in the e-health sector, providing platforms for knowledge sharing and technological innovation. Through these events, participants can stay updated on the latest trends, access funding opportunities, and network with experts.
AWS HealthLake allows users to check the status of previously submitted pre-authorizations through a standardized FHIR-based workflow. The `$inquire` operation, based on the Da Vinci PAS Implementation Guide, uses application details and patient information to retrieve the current authorization status.
Perplexity AI has partnered with b.well Connected Health to provide personalized health insights by securely connecting individual electronic medical records to its AI search platform. This integration combines data from Apple Health and various wearables, aiming to deliver more accurate, context-aware information based on personal profiles.