Developing an FDA regulatory model for health AI
The news discusses the development of a regulatory model for health AI by the FDA. This effort is part of broader advancements in FHIR, particularly concerning cost transparency efforts.
3,961 FHIR-related articles (latest first)
The news discusses the development of a regulatory model for health AI by the FDA. This effort is part of broader advancements in FHIR, particularly concerning cost transparency efforts.
AHIP hosted a webinar focusing on the application of HL7 FHIR and Generative AI in Utilization Management. The session aimed to address current operational challenges and administrative burdens in this area.
The documentation compares SMART on FHIR and FHIR standards, detailing their key differences. This guide helps developers determine which standard is best suited for their specific healthcare application development needs.
The discussion covered methods to speed up patient identification, consent processes, and overall data exchange. The focus was on leveraging FHIR standards to streamline these critical healthcare processes.
florio HAEMO——血友病数字化医疗设备:治疗监测、症状管理与体力活动追踪的创新平台 生物通 ... FHIR)实现与注册登记系统的数据同步,为构建统一数据集提供技术基础。 2 方法. 2.1 新监测平台的开发. florio HAEMO通过与患者(PLWH)和医疗专业人员(HCP ... Facebook Twitter
Edenlab is providing services to build a secure and scalable FHIR Facade. This development aims to ensure robust healthcare data interoperability.
Educational materials are available to teach the fundamentals of major healthcare standards, including HL7 V2, CDA, and FHIR. This resource helps users new to HL7 understand the core concepts of interoperability.
2026 衛生福利部FHIR 工作坊 衛生福利部 09:30– 10:30 【工作坊】FHIR 基礎介紹(TW Core IG / TWCDI). 工研院生醫所李建儒經理. 10:30–11:30. 【工作坊】FHIR 實作練習(HAPI Server、FHIR. Facebook Twitter 関係のないコンテンツを報告
1upHealth is discussing the need for improved infrastructure, specifically utilizing FHIR, to address current challenges in US healthcare settings. The discussion highlights the transition from traditional Electronic Records (ERs) to modern API-based systems.
The initiative focuses on coordinating patient care and alerts by connecting Electronic Health Records (EHR) via FHIR APIs. This integration utilizes AI (GPT-4), communication services (Twilio, Slack, Gmail), and automation tools (N8N) to streamline workflows.
The news relates to the ongoing work and final stages of HL7 standards. This work supports global interoperability using FHIR technology.
FHIR standards are noted for their rapid growth in importance within modern healthcare. These standards are positioned to become a foundational backbone for healthcare interoperability.
A Business Analyst at Cotiviti is engaged in analyzing business needs for healthcare data exchange. This work focuses on implementing interoperability workflows using industry standards like HL7 and FHIR.
An evaluation was conducted regarding the mapping of electronic health records (EHR) to HL7 FHIR standards. This work was applied specifically to pediatric research studies.
NASSCOM discussed the role of FHIR standards in building modern healthcare infrastructure. These standards are increasingly recognized as the core backbone for interoperability in healthcare.
JPM is enabling a partnership between Abridge and Availity to integrate conversational AI into prior authorization processes. This aims to streamline and automate complex prior authorization workflows within the healthcare system.
The guide provides a step-by-step process for developing a medical application that adheres to the SMART on FHIR standard using Epic's tools. This process involves registering on Open.Epic and mapping FHIR standards.
Registration is currently open for virtual educational sessions for HL7 WGM participants. These sessions focus on the economics of FHIR, providing free learning opportunities.
Drummond Group has joined FHIRplace. This participation aims to validate FHIR interoperability across the entire solution lifecycle.
The news relates to the use of FHIR-based AI for medical records and document retrieval services in the Philippines. This technology aims to transform static historical medical charts into usable data.