1,676 FHIR-related articles (latest first)
This article presents a knowledge check regarding integration and interoperability in the health cloud. It explains that the new clinical data model aligns with FHIR R4 standards and supports data exchange using both HL7 and FHIR. It also notes the continued use of legacy HL7 v2 C interfaces for most current EHR data exchanges.
InterSystems aims to solve challenges in pharmaceutical development and clinical research using a combination of FHIR and OMOP. This significantly reduces the time and cost associated with data collection and analysis, accelerating the provision of new treatments to patients.
The global healthcare API market is projected to grow from USD 1.38 billion in 2025 to USD 1.99 billion by 2034, exhibiting a CAGR of 4.2%. This growth is primarily driven by increasing demand for data interoperability and the expansion of digital health solutions.
This article explains the importance of 'Interoperability,' which enables seamless data exchange between different healthcare systems, devices, and applications. By utilizing the Health Information Exchange (HIE) Suite, diverse health-related data, including electronic health records, can be integrated in real-time to support high-quality care and faster decision-making.
By combining Fast Healthcare Interoperability Resources (FHIR) and Laboratory Information Management Systems (LIMS), seamless data sharing is achieved across various healthcare systems. This enables more efficient clinical decision-making and improves patient care by solving the problem of fragmented medical data.
InterSystems points out that combining the standards FHIR and OMOP is crucial for utilizing Real-World Data (RWD). This technical approach helps solve data integration and analysis challenges in clinical trials and pharmaceutical development, contributing to a significant reduction in drug discovery timelines.
A study by Cho et al. reported an implementation example of information management using FHIR on Google Cloud. This research demonstrates how electronic health record data and medical information can be handled in a specific cloud environment.
FHIR (Fast Healthcare Interoperability Resources) is a modern standard for electronic healthcare information exchange. It replaces older, complex formats by utilizing web technologies to achieve seamless data sharing, thereby enhancing the portability and interoperability of medical data.
At its annual health conference, Google reported on the evolution of Artificial Intelligence (AI) in medicine. Key announcements include new APIs supporting FHIR format medical data processing and a pulse loss detection feature for the Pixel Watch 3, aiming to improve global medical research and care.
Susheel Ladwa, CEO of Onyx Health, discussed the rapid changes in healthcare driven by interoperability and AI. This conversation highlights the challenges modern healthcare systems face regarding data linkage and efficiency.
HL7 International informed attendees at a symposium that the development phase for FHIR Release 6 standards is nearing its conclusion.
Stanford University and Genloop Labs proposed a novel semantic QA approach using privately fine-tuned Large Language Models (LLMs) to extract information from Electronic Health Records (EHRs). This method first identifies relevant FHIR resources and then answers questions based on those resources, demonstrating high performance.
HL7 Europe shared the experience of implementing FHIR in Swedish laboratory systems, driven by the advancement of the European Health Data Space (EHDS). This highlights efforts to ensure interoperability amidst legacy systems and complex political environments.
Microsoft Azure has published the `HealthcareFhirResourceUpdatedEventData` interface for handling event data when a FHIR resource is updated. This enables standardized tracking and interoperability of medical data change history across systems.
This article defines the object (`SmartIdentityProviderConfiguration interface`) used to configure the Identity Provider for SMART on FHIR authentication. This configuration allows specifying multiple applications and the token issuing authority.
Firely offers industry-leading FHIR server solutions designed to address challenges faced by healthcare developers. By utilizing this service, organizations can reduce the burden of compliance and security requirements while focusing on core system development.
HLN presented at HIMSS25 on improving immunization interoperability using FHIR, alongside its open-source engine 'ICE' for clinical decision support. The presentation showcased new solutions that enhance data exchange efficiency and contribute to community health protection.
Iryna Mykhailova reported integrating Swagger UI support into the InterSystems IRIS FHIR template, which supports FHIR R4. This enhancement allows developers to perform quick, manual testing of the REST API, improving efficiency for front-end development and general API communication.
InterSystems is hosting a technical webinar titled 'Cloud Health: FHIR Server' for the HealthShare Health Connect Cloud. The session will introduce how to improve healthcare data exchange and interoperability using a Platform-as-a-Service (PaaS) offering built on HL7 FHIR.
IHE has published a new FHIR resource profile, 'Fetal Movement Reported,' as part of the Mobile Antepartum Summary. This provides a standardized structure for recording fetal movement during prenatal checkups, contributing to improved interoperability of medical information.