1,063 FHIR-related articles (latest first)
AWS HealthLake now allows developers to select between 'Eventual Consistency' and 'Strong Consistency' for search results when resources are updated. This enables reliable handling of the latest resource information at critical times.
ObserveID announced a new Epicβ’ application connector, leveraging FHIR and HL7 standards to automate identity lifecycle management and strengthen security in healthcare organizations. This enhances access control and compliance without disrupting critical clinical systems.
CMS and HL7 opened registration for the 2025 FHIR Connectathon.
Using AWS CloudFormation, a data store capable of ingesting and exporting FHIR formatted data can be created via the `AWS::HealthLake::FHIRDatastore` resource definition. This feature provides a foundation for standardizing and utilizing medical data on the cloud.
Girish Ganachari, a Senior Data Engineer, details his experience designing and implementing real-time data platforms for large healthcare organizations. He achieved the integration of data from multiple EHR systems and IoT devices, enabling rapid clinical decision-making and efficient care delivery in medical settings.
Animesh Mane, an alumnus of Northeastern University and seasoned data engineer, is revolutionizing data management and utilization across various US industries through his expertise in data engineering. He founded DataFlow Dynamics to provide integrated solutions for high-impact sectors like healthcare, manufacturing, and finance.
The U.S. government mandates the adoption of standards for transactions and data elements to enable electronic exchange of health information. Based on HIPAA regulations, this applies to various administrative processesβsuch as claims, eligibility checks, and paymentsβand is realized through technical standards like FHIR and X12.
Large US healthcare systems are leveraging modern standards like FHIR and TEFCA to achieve real-time data sharing and nationwide interoperability. This is expected to enable smooth data exchange among diverse entities, including providers, payers, and public health organizations.
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.