Search results for "FHIR": 1,661 articles
Canvas Medical announced updates to its EMR system, including bug fixes and new features. Key improvements include plugin integration for appointment scheduling validation and standardization of metadata models, enhancing both stability and extensibility.
The article explains the canonical URL, which serves as a unique identifier for conformance resources in FHIR. It introduces the mechanism using simplifier.net to make these URLs resolvable through regular web browsers.
Although the Electronic Medical Record (KIS) market continues to grow, many hospitals are delaying decisions. They are no longer seeking traditional stand-alone software but rather cloud-capable platforms that integrate interoperability, AI, and replacement for legacy systems.
Successful FHIR implementation requires a combination of healthcare domain knowledge, interoperability engineering, and system-level architecture expertise. It is not merely an interface development task but aims to build a governed interoperability layer supporting clinical workflows and regulatory compliance.
ProtocolMiner, developed by MITRE Corporation, demonstrated the ability to automatically extract 'Schedules of Activities (SoA)' from legacy clinical trial protocols and transform them into interoperable digital formats like FHIR and USDM. This enables high-fidelity extraction of complex study design information from traditional documents.
SoftServe and AdvancedMD discussed the business benefits of adopting FHIR (Fast Healthcare Interoperability Resources) in a webinar. Highlights included how using healthcare APIs with API management and FHIR certification helped AdvancedMD improve partner engagement by leveraging existing data.
The European Medicines Agency (EMA) is accelerating the transition away from legacy systems in product lifecycle management. By 2026, product data management must shift toward a structured 'Digital Twin' model based on FHIR standards.
OMOPHub published a guide comparing OMOP and FHIR for data teams.
The HAPI FHIR Validator HTTP service, which has an unauthenticated endpoint (/loadIG) that sends outbound HTTP requests, can be exploited. This flaw, combined with a startsWith() URL prefix matching vulnerability in the credential provider, allows attackers to steal authentication tokens (Bearer, Basic, API keys) configured for legitimate FHIR servers.
The article addresses complex data integration challenges in healthcare, advocating a 'contracts-first' approach. It aims to reduce operational risk and build reliable pipelines by implementing data quality assurance (DQ) and schema evolution management.
The Google Cloud Healthcare API provides tools to handle FHIR resources, enhancing healthcare data interoperability within the Google Cloud environment. It also enables integration with public medical research APIs like PubMed.
HL7 Korea provides information regarding the search functionality for the KR Core Implementation Guide (current build). This guide serves as a technical specification focused on specific healthcare topics.
ๆฌ็จฟใฏใไผ็ตฑ็ใช็ ้ขใขใใซใ็ด้ขใใ่ชฒ้กใซๅฏพใใ็ ้ข่ชไฝใใขใธใฅใผใซๅใฎใใธใฟใซใใฉใใใใฉใผใ ใจใใฆๆใ็ดใๆฆๅฟต็ๆ ็ตใฟใๆๆกใใใHL7 FHIRใชใฉใฎๆจๆบ่ฆๆ ผใใจใผใธใงใณใๅAIๆ่กใๆดป็จใใ่คๆฐใฎๆฉ้ขใซใพใใใๅ็ใใคๆฃ่ ไธญๅฟใฎใฑใขใใงใผใณๆง็ฏใ็ฎๆใใ
The FHIR Validator service in HAPI FHIR has an unauthenticated endpoint that accepts external URLs, allowing attackers to exploit it and steal authentication tokens configured for legitimate FHIR servers. This vulnerability poses a serious risk leading to supply chain attacks and potential leakage of sensitive clinical data.
Adopting FHIR-based integration patterns helps healthcare providers streamline data exchange, aiming to improve the accuracy of diagnosis and treatment plans. This strengthens connectivity between electronic health record systems and modern digital platforms, contributing to reduced risk of medical errors.
HL7 announced the launch of the Caliper FHIR Accelerator, a new implementation community focused on improving the exchange and integration of data from medical and personal health devices. The initiative aims to integrate high-frequency device data into EHRs and AI applications to support clinical decision-making.
This article summarizes the latest trends in healthcare data exchange and interoperability, centered on FHIR (Fast Healthcare Interoperability Resources). Various experts and organizations introduce initiatives aimed at solving specific challenges, such as security, privacy, and real-time clinical decision support.
JMC offers comprehensive video training series designed to enhance capabilities in utilizing HL7 FHIR within public health. The course covers a wide range of topics, from FHIR fundamentals and practical implementation strategies to data exchange workflows.
This article details how to build advanced, compliant medical AI applications by integrating the Fast Healthcare Interoperability Resources (FHIR) standard with the large language model MedGemma. It provides specific code examples and data formatting procedures for structuring patient information, medical history, and lab results into usable prompts.
Edenlab provides comprehensive analytics consulting services for the healthcare industry, acting as a true technology partner beyond simple dashboards. They cover the entire data lifecycle, from raw data ingestion to AI-powered insights, with a focus on achieving interoperability based on FHIR standards.