Tech giants like Apple and Google are shifting their focus from hardware to 'medical compliance' in healthcare. Different regulatory environments are emerging globally, exemplified by the US FDA's approach versus strict regulations like the EU AI Act. Taiwan is establishing clear pathways for ICT industry entry into clinical systems through promoting FHIR standards.
アイルランドのiEHRが、社会経済的決定要因(SDOH)に関する「Prapare Panel Example 93040-4」をFHIRリソースとして具体的に定義した。これは、観察結果(Observation)形式で、特定の質問票回答に基づく健康状態の記録方法を示す。
Based on a Nature paper, the autonomous medical AI agent 'MIRA' was developed. This system demonstrated its ability to autonomously execute an entire workflow—from patient history taking to diagnosis, testing, and treatment planning—within an EHR sandbox environment.
In this episode, Mike O'Neill, CEO of MedicaSoft, discusses how ACOs can move beyond mere data collection to generate real-time, actionable insights. He focuses on the role of FHIR, interoperability, and data strategy in supporting value-based care (VBC), aiming to improve care quality and operational efficiency.
Dicom Systems offers the cloud-based 'Unifier Medical Image Workflow Cloud Appliance' to enhance interoperability and manage complex image workflows in healthcare organizations. The product supports major protocols like DICOM, HL7, and FHIR, enabling flexible deployment from on-premises to cloud environments.
This article explains how to add 'Extensions' to resources and data types within the FHIR standard. It demonstrates the procedure for appending custom data, such as place of birth or date of birth, to a Patient instance by supplementing standard information.
MedX has announced a system that quantifies skin conditions, which previously relied on visual inspection and subjective judgment. This technology non-invasively measures three components—melanin, hemoglobin, and collagen—aiming to integrate objective data into electronic health records.
This article focuses on the U.S. Office of National Coordinator for Health IT's (ONC) proposed relaxation of regulations regarding 'Health Data, Technology, and Interoperability.' It systematically discusses three core elements: generative AI, FHIR standardized APIs, and healthcare system interoperability. Based on this, the author proposes a layered technical architecture for an IAM interoperable smart grid and a four-dimensional domain governance system, presenting a comprehensive roadmap for future medical digital transformation.
Rustで構築された「Helix」は、EMR記録やウェアラブルデータなど多様な個人データを単一の知識グラフに集約し、対話型分析を提供する。回答はユーザー自身のデータに基づき追跡可能であり、信頼性の高い情報提供を目指す。
This article provides a comprehensive guide to FHIR (Fast Healthcare Interoperability Resources), which is essential for achieving interoperability in medical information. It covers architecture and roadmaps, alongside cost factors and best practices for developing FHIR APIs.
This article profiles thirteen advanced healthcare app development companies that hospital systems should evaluate when planning their next technology investment. These firms are addressing critical challenges in healthcare by focusing on clinical data interoperability and administrative workflow automation.
An expert points out to AI-powered healthcare startups that data layer unpreparedness, rather than model performance, is the primary cause of failure. It emphasizes the critical importance of viewing standards like HL7 and FHIR as business risks.
InterSystems announced that the upcoming 2026.2 release (available in preview) will support binary content type responses for specific FHIR Read operations. This change allows users to retrieve actual binary data, such as PDF files, directly when requesting a Binary Resource with a specified MIME type, rather than receiving it wrapped in standard JSON format.
Detailed mapping specifications for the MedicationAdministration resource profile, based on FHIR standards, have been published. This is expected to advance the structuring of medication records and ensure interoperability in electronic health record systems and healthcare information exchange.
Hasshya Moorthy developed an end-to-end interoperability pipeline that converts CCDA (Clinical Document Architecture) XML files into standardized FHIR resources. The system employs a hybrid approach combining deterministic extraction, NLP-assisted ontology mapping, and semantic normalization.
This article summarizes a systematic review published in JMIR Medical Informatics, detailing the concept of 'Dynamic and Revocable Consent' using blockchain technology. This system aims to enhance patient control over their health data by allowing them to manage consent for secondary data use, balancing privacy protection with research utility.
オープンソース開発者プラットフォームのMedplumとエンタープライズデータバックエンドのAidboxが、それぞれ異なる強みを持つFHIRプラットフォームとして紹介された。どちらを選ぶかは、構築するプロダクトのアーキテクチャや目的に依存する。
While excellent for transactional exchange, FHIR is inherently ill-suited for large-scale analytical processing. Organizations must adopt a 'boundary thesis,' using FHIR as an interface while employing optimized formats within the domains.
The introduction of a digital health exchange system is expected to free patients from the complex procedures associated with receiving care at multiple medical institutions. This will enable smoother and more efficient healthcare provision.
InterSystems announced a partnership with Medistim, a pioneer in TTFM technology, to develop an end-to-end data management solution for cardiac surgery. Utilizing FHIR (Fast Healthcare Interoperability Resources), the solution standardizes and structures medical device data, enabling integrated use within electronic health records.