Search results for "FHIR": 1,054 articles
The article argues that the true limitation of clinical AI is not the algorithm itself, but access to real-time clinical context. It introduces the Model Context Protocol (MCP), a new infrastructure designed to enable secure and transparent data exchange.
This article technically explains the implementation of multi-tenant FHIR servers using AWS HealthLake. It provides architectural design guidelines for multiple organizations (tenants) to share and utilize data while ensuring high levels of security and scalability in data management.
The U.S. Department of Health and Human Services (HHS) is pushing for the adoption of Fast Healthcare Interoperability Resources (FHIR) Application Programming Interfaces (APIs), driven by top CMS officials who are calling for greater use of real-time data in healthcare information systems.
Black Book Research published key IT solutions required to achieve 5-star ratings. These focus on data integration, regulatory compliance (CMS), and provider network optimization, aiming to improve operational efficiency for Medicare Advantage plans.
WorkDone, a San Francisco-based provider of an AI-powered compliance copilot, raised $1.8 million in funding. The company plans to use the funds to expand its operations and development efforts.
WorkDone, a healthcare AI startup, secured $1.8 million in pre-seed funding to address documentation errors in Electronic Health Records (EHRs). The company's AI copilot integrates with hospital EHR systems using industry protocols like HL7 and FHIR to monitor clinical workflows in real time and detect/resolve missing records.
InterSystems discovered that its FHIR repository started returning an Error 500 after migrating to a new container-based environment. The issue was traced back to PROTECT violations in specific namespaces, which were resolved by modifying Web Application settings and implementing token retrieval logic.
Elimu Informatics announced a new service, RapidFireAppsβ’. This service leverages standards like FHIR and pre-built components to significantly accelerate the development and integration of clinician and patient applications with EHRs.
The Centers for Medicare & Medicaid Services (CMS) provides extensive learning resources about FHIR. The page guides users through diverse information sources, covering everything from basic concepts to specialized implementation guidance and data element libraries.
By combining AI and FHIR (Fast Healthcare Interoperability Resources), it becomes possible to move beyond traditional siloed healthcare data management toward building proactive, networked next-generation smart healthcare systems. This enables predictive care delivery and operational efficiency based on real-time data.
Microsoft Learn has published the 'FhirResourceDeletedEventData' interface, based on HL7 FHIR standards. This data is used to track information when a FHIR resource is deleted within a system, recording which account (`resourceFhirAccount`), ID (`resourceFhirId`), type (`resourceType`), and version (`resourceVersionId`) of the resource was removed.
The 'Helios Virtual FHIR Connectathon' is scheduled for June 3-4, 2025. This event focuses on the FHIR standard for healthcare data interoperability.
CMS and ASTP/ONC released an RFI focusing on data interoperability and value-based care (VBC). This suggests that future healthcare IT efforts will prioritize strengthening connectivity using digital IDs and open APIs.
The U.S. Department of Health and Human Services (HHS) agencies, including ASTP/ONC and CMS, issued a joint Request for Information (RFI) aiming to enhance health data interoperability. This effort seeks to prevent data from being locked in silos and enable patients to better manage chronic conditions.
Drummond, a leader in health IT testing, launched the FHIRplace Prior Authorization Testing Event to accelerate FHIR-based interoperability. The program offers continuous, on-demand access to a production-simulated, multi-party environment for early validation and refinement of FHIR implementations.
While interoperability has focused heavily on the FHIR standard, this approach creates technical and economic barriers. The article argues that leveraging AI, Machine Learning (ML), and Natural Language Processing (NLP) can enable information exchange across diverse systems, promoting a more equitable and sustainable realization of true interoperability.
The article argues that achieving true healthcare interoperability requires a multi-channel approach utilizing Artificial Intelligence (AI), rather than relying solely on traditional standards. This offers a new perspective to overcome existing technical and economic limitations.
Healthcare organizations must register as Health Records with Apple, requiring testing of the FHIR API endpoint and pre-publication review (Preview). The process is outlined in detailed developer guidelines.
Health eProfile has implemented Fast Healthcare Interoperability Resources (FHIR), the leading standard for electronic healthcare information exchange, to enable seamless data exchange across its platform. This facilitates interoperability between various health systems and applications.
Stephen Konya of ASTP will speak on the challenges of health IT innovation and interoperability at the federal level. The event will focus on AI approaches and public-private partnerships.