「資料互通就是一切」 專訪全球最大醫療數據服務商InterSystems - 天下雜誌
グローバル最大級の医療データサービスプロバイダーであるInterSystemsは、資料互通性の重要性を強調。単にプラットフォームを構築するだけでなく、データを読み解き、価値を生み出す応用力こそが真の課題だと指摘した。
Search results for "FHIR": 1,661 articles
グローバル最大級の医療データサービスプロバイダーであるInterSystemsは、資料互通性の重要性を強調。単にプラットフォームを構築するだけでなく、データを読み解き、価値を生み出す応用力こそが真の課題だと指摘した。
This article provides a comprehensive overview of approaches to ensure interoperability in modern healthcare systems facing multiple challenges, such as big data analytics and regulatory compliance. It focuses on methodologies for overcoming data fragmentation and legacy system limitations, particularly by utilizing the FHIR standard.
Form.io announced the development of 'SpecKit,' an early-stage tool created by TESCHGlobal for generating FHIR test data. This solution simplifies the creation of compliant test data, allowing accelerated development even without deep domain expertise.
Capgemini India points out the transformation of the healthcare industry, citing advancements from AI diagnostics to remote patient monitoring. It emphasizes that interoperability standards like FHIR are crucial foundations for these advanced digital solutions.
A virtual roundtable hosted by HL7 CAM brought together female leaders from Brazil, Colombia, and Chile to discuss the evolution of healthcare interoperability and the adoption of HL7 FHIR across the region. The report emphasizes a shift from isolated technical implementations toward organizational, governance, and sustainability-driven approaches, while also addressing gender gaps in digital health.
NCQA PHEMUR has published a ValueSet for the PROMIS-29 Depression Score. This resource includes LOINC codes 71965-8 and 71966-6, enabling standardized data exchange in electronic health records.
FHIR is gaining attention as the technology to integrate fragmented patient data—such as medical records and lab results—through standardized APIs. This facilitates data visibility and sharing in clinical settings, contributing to the realization of effective preventive care.
ITサービスプロバイダーのInfo Supportは、安全なデータ交換を目的とした新しい医療クラウドプラットフォーム「Syncura」を導入した。本プラットフォームは、日本の劣悪なデータ交換環境や古いシステムの問題に対処し、医療機関間の効率的な連携を目指す。
This article explains Patient-Reported Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs), highlighting their crucial role in healthcare. Integrating this data with the FHIR standard is expected to realize personalized, data-driven medicine.
This article explains how to use Azure Health Data Services to achieve custom clinical data searching beyond standard FHIR resource capabilities. It details the procedure for setting up search parameters based on custom extensions or specific data patterns.
Form.io, an enterprise platform, announced that TESCHGlobal has developed 'SpecKit.' This tool simplifies the process of creating test data for FHIR-based systems, helping address complex industry standards.
Open Health Hub has launched publicly accessible, end-to-end encrypted FHIR APIs. This allows data from questionnaires and medical devices to be automatically integrated into patient records, enabling healthcare institutions and system integrators to independently implement eHealth solutions within their digital infrastructure.
This article provides technical steps for setting up an environment to run HAPI FHIR. Specifically, it details how to install and perform initial setup of PostgreSQL 14 as a database on an Ubuntu Server 20.04 LTS system.
The WHO's smart project released a FHIR ValueSet specification defining system actors related to the Hajj pilgrimage. This aims to standardize the identification of participants (actors) in healthcare information exchange.
This article provides a comprehensive technical guide covering various Fast Healthcare Interoperability Resources (FHIR) resources. It details the structure and operational methods required for handling specific clinical data, such as patient information and medical records.
This article details how Azure Health Bot can integrate with Electronic Health Record (EHR) systems via FHIR APIs to provide personalized health information, such as appointment schedules and medication lists. This significantly improves the accessibility of medical information through chatbots.
WHO published the ICVP (v0.3.0), based on FHIR R4, defining non-functional requirements for digital systems. These include general attributes related to system availability and usability, such as offline capability and multiple language settings.
Developed by HL7, FHIR standardizes fragmented healthcare data using a resource-based structure and RESTful APIs. This enables real-time sharing and analysis of data by leveraging global standards like SNOMED CT and LOINC.
An organization has released multiple technical documents (in hwp format) related to the FHIR system. These files provide information regarding specific implementations and data structures.
Firely and Open Health Hub announced a partnership, providing healthcare IT teams and developers with a solution to quickly and easily visualize and analyze FHIR data within existing systems. This allows users to go from raw data to dashboard visualization in minutes.