Lifebit has established a process for converting data from legacy EHR warehouses, which have complex structures, into the FHIR standard. This enables the processing of vast clinical datasets in hours while maintaining high data integrity at scale.
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.
Leavitt Partners explains how healthcare organizations can modernize quality reporting using standardized, real-time data connections. Findings suggest that nearly half of today’s 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.
JCHO Hokkaido Hospital has launched a pilot program utilizing standard smartphones and on-premise generative AI to automatically draft clinical notes. The goal is to reduce documentation time and mitigate physician burnout.
An expert provides comprehensive system integration services using the MediRecords API for healthcare facilities in Australia. This service ensures safe and efficient patient data management by adhering to FHIR standards, featuring HIPAA-level security and robust webhooks.
OpenAI announced the new feature, 'ChatGpt Health.' While it allows users to utilize their health data and wearable device information for personalized wellness advice, concerns persist regarding privacy protection and the accuracy/ethical use of AI-provided medical information.
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 older clinical documents, such as C-CDA R2.1 (e.g., electronic health records), into the modern and international healthcare data exchange standard, FHIR R4. This process structures diverse medical records, enabling seamless system interoperability.
Developer Buydeepdiscount.com LLC has released an educational application, 'FHIRApp,' designed to teach FHIR (Fast Healthcare Interoperability Resources), a standard in medical informatics. The app allows users to systematically and interactively learn concepts such as FHIR resources, profiles, and extensions through flashcards and quizzes.
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 lines—Clinical, Claims, CMS-0057-F, and CDA—aiming to improve overall data quality.
QMetrics continues its role as the official validator for NCQA’s 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.
BioBioChile TV explored how the International Patient Summary (IPS), based on the FHIR standard, is essential for achieving a more connected and safer healthcare system. This tool allows for the structured and reliable sharing of essential clinical information, overcoming barriers between systems, institutions, and even countries.
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 PCORnet® CDM for certain diagnoses and laboratory results.