Search results for "FHIR": 1,054 articles
Healthcare organizations rely heavily on APIs for diverse services like EHRs and telemedicine, but this complex connectivity creates new attack surfaces. Continuous assessment of API security is needed not just as a technical issue, but as a governance concern.
Nitid specializes in developing custom applications that integrate seamlessly into existing Electronic Health Records (EHR). This helps clinicians make faster, better-informed decisions by providing real-time data visualization and algorithm-based recommendations.
Anthropic announced 'Claude for Health,' a suite of conversational AI tools designed for healthcare providers, payers, and patients. This follows the announcement by OpenAI's ChatGPT health features, aiming to facilitate various uses including data linkage and administrative support.
The ASTP/ONC, under HHS, announced the "HTI-5 Proposed Rule" on January 27, 2026. This rule aims to streamline existing regulations regarding data exchange and use, promoting innovation by offering flexibility to developers and providers.
ASTP/ONC is working on proposed cleanup and changes to the HTI-5 rules.
Leavitt Partners explains how healthcare organizations can modernize quality reporting using standardized, real-time data connections. Findings suggest that nearly half of todayโs priority quality measures may already be reportable using existing FHIR-based APIs and USCDI v3 data.
The NIH provides a browsing function for code systems, offering comprehensive standardized terminology and classifications for medical information. Users can search by specific codes or terms and confirm their relevance to modern standards like FHIR.
The U.S. healthcare system is failing due to data fragmentation. Experts argue that this ability to share data must be treated as a critical next-generation infrastructure.
This article details the technical requirements necessary to enable access and exchange of electronic health information (EHI) based on multiple U.S. federal regulations, such as HIPAA and the Cures Act. It emphasizes that compliance with standards like FHIR R4 and US Core is crucial for data sharing.
This article explains the process of transforming healthcare Electronic Data Interchange (EDI) transactions, which use fixed formats like X12 5010, into the modern FHIR R4 format. By migrating data from fixed-format standards to JSON/REST API based standards, it enables highly interoperable data exchange.
This service converts X12 5010 EDI transactions (including claims, eligibility, etc.) into FHIR R4 format. This enables the processing of diverse healthcare data in a unified structure, contributing to the foundation of medical information interoperability in Japan.
CodeFhir has launched a free trial platform that converts standard data, such as HL7 v2.x and C-CDA, into the FHIR format. This trial provides access to four product linesโClinical, Claims, CMS-0057-F, and CDAโaiming to improve overall data quality.
QMetrics continues its role as the official validator for NCQAโs Data Aggregator Validation program, supporting the launch of the 11th cohort. This initiative aims to enhance clinical data reliability and contribute to healthcare quality reporting.
A research team at Duke University investigated whether the Fast Health Care Interoperability Resources (FHIR) standard could serve as a viable alternative method for large-scale data activities. The findings suggest that FHIR-based extraction may show sufficient concordance with the established PCORnetยฎ CDM for certain diagnoses and laboratory results.
Ascension Health aims to solve complex healthcare challenges by utilizing micro-applications embedded in workflows, advancing data integration based on the FHIR standard. This achieves advanced information sharing and decision support beyond mere system linkage, reaching 'platform level' interoperability.
UST provided a real-time, automated provider data exchange solution compliant with the FHIR standard to a large health insurance association. This resolved critical issues such as manual data conversion and operational delays inherent in the previous system, enabling rapid analysis and decision-making.
Stratevora offers a comprehensive service for independent hospitals, spanning from diagnosis to implementation and continuous intelligence. This process uses AI analysis to identify challenges in the revenue cycle and achieve measurable revenue improvement.
HDIG offers a platform utilizing FHIR APIs, which serve as the foundation for interoperability. This enables secure exchange of diverse healthcare data, such as EHRs and insurance information, achieving operational efficiency and patient-centered care.
Stanford Health Care adopted InterSystems IRIS for Health and developed the medical AI application, ChatEHR. By utilizing an HL7 FHIR store, it significantly accelerated the collection and analysis of information from large-scale heterogeneous data sources, reducing processing time from minutes to seconds.
Informatica's Intelligent Data Management Cloud (IDMC) integrates scattered healthcare data from multiple systems, creating a unified 'golden record.' This enables clinicians to access complete patient information quickly, improving care quality and ensuring data reliability.