CENS, in collaboration with OPS/OMS, unveiled a prototype connecting remote monitoring devices (telekits) to electronic health records. This aims to integrate fragmented medical data using international standards, facilitating high-quality care delivery remotely.
This guide outlines the implementation guidelines for the xShare Yellow Button, based on FHIR R4. Implementers must first 'claim' their conformance by specifying supported features and roles, and then 'prove' it by meeting detailed technical requirements.
Brendan Keeler examined the data access patterns of athenahealth, an Electronic Health Record (EHR) system known for its openness. While the company is recognized for its developer-centric approach, it was pointed out that the system is not truly headless or fully decoupled, suggesting persistent gaps in data access.
The Ministry of Health and Welfare (MOHW) is holding the 'LOINC Medical Testing Data Standardization Achievement Presentation' to promote medical data standardization and smart healthcare development. The event highlights the importance of establishing a nationwide, unified testing data structure by adopting the international standard code LOINC, along with various practical application cases.
Spaarne Hospital, as the first pathology department in the Netherlands, has provided pathology data (including incidence reports) to the national cancer registry using the HL7 FHIR standard. This achieves international standardized healthcare data exchange and significantly improves the management and future-proofing of oncology data.
The World Health Organization (WHO) has released version 1.6.0 of the 'WHORegionalOffices' code system. Built on the FHIR standard, this aims to standardize regional identifiers and enhance interoperability for global healthcare data.
Leopoldina criticizes the current state where data (such as EHRs and lab results) remain trapped in 'technical silos.' It argues that ensuring interoperability through standards like FHIR, based on FAIR principles, is urgently needed.
Certified centers are significantly improving post-fall care by closely integrating orthopedic surgery and geriatrics. Simultaneously, digital follow-up workflows are enabling the seamless transfer of hospital inquiries into nursing CRM processes.
WellQuestPro announced a platform designed to counter the risks of 'shadow AI' in hospitals by providing auditable and governed enterprise clinical AI. The goal is to deliver advanced intelligence at the point of care while ensuring safety and governance.
Health plans are required to fundamentally change how prior authorization (PA) is managed and exchanged due to the CMS Interoperability and Prior Authorization Rule, effective January 1, 2027. This webinar provides practical steps for operational transformation based on regulatory requirements and industry commitments.
This article demonstrates a method for converting scanned PDF electronic health record data into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. This pipeline extracts information from over 50 clinical fields without requiring template configuration, making historical patient data securely and massively accessible to modern clinical systems.
As healthcare data utilization increases, FHIR and OMOP are often compared. However, this article argues that the true challenge is not choosing between them, but establishing a robust strategy for 'semantic normalization.' Long-term success depends on strategic approaches like terminology governance and concept normalization.
This article details how to build a pipeline that converts unstructured paper medical records (PDFs) into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. This serverless system automatically extracts and integrates structured clinical data without manual effort or custom ML models.
ClearStars introduces Pulsar, an electronic clinical quality measure engine. Built FHIR-first for providers and value-based care organizations, it helps derive prioritized, patient-first insights from clinical data in a shorter timeframe.
The 'FHIR Converter' provided by ms-azuretools is a tool that enables the conversion of legacy formatted health data into FHIR, expanding the use cases and interoperability of health data. The security assessment confirms its vulnerability status and malware presence.
Jameda and T2med have jointly developed a FHIR-based interface. This allows documentation generated by Noa Notes (AI) to be directly integrated into the structured patient records of T2med, aiming to improve workflow efficiency in clinical settings.