Search results for "Google": 101 articles
InterSystems announced a new partnership with Google Cloud. This collaboration integrates InterSystems HealthShare to enhance healthcare data interoperability, enabling advanced analytics and decision support using generative and agentic AI.
InterSystems announced a partnership with Google Cloud. This integrates InterSystems HealthShare with the Google Cloud Healthcare API, enhancing data harmonization and scalability. Healthcare providers can now implement generative AI and agentic AI using reliable data.
Users on Google Skills are sharing their experiences and evaluations regarding the topic 'Ingesting FHIR Data with the Healthcare API'. Multiple users posted reviews at various times, such as four months ago, noting that the process requires time for troubleshooting and internalization.
Google Cloud provides technical reference information on utilizing the Cloud Healthcare API to handle multiple standards, such as converting HL7v2 to FHIR and converting FHIR to OMOP. This allows EHR data and research data to be utilized in a unified format.
A review page on Google Skills introduces a method for streaming the conversion of HL7 data into FHIR format, utilizing Dataflow and the Healthcare API. This technique provides a concrete approach for migrating legacy medical data (HL7) to modern standard specifications (FHIR).
This article introduces cloud healthcare services from AWS and Google Cloud Platform (GCP), explaining the data processing workflow using standards like FHIR. It demonstrates the potential for AI-driven clinical decision support through structuring and analyzing electronic health records.
Google has announced 'Kotlin FHIR,' an open-source library. This tool enables the development of applications based on the FHIR standard to run simultaneously across multiple platforms, including Android, iOS, and Web.
Infinitus Systemsは、医療データ分断の問題を解決し、AIの標準化された相互作用を促進するためのプロトコルモデルコンテキスト（MCP）サーバーを発表した。この技術は、行政手続きの自動化や、保険適用確認などの効率化を目指す。
Google has announced 'Kotlin FHIR,' an open-source library supporting Kotlin Multiplatform for the FHIR standard. This allows developers to build healthcare applications from a single codebase and deploy them across multiple platforms, including Android, iOS, and Web.
A development team addressed the complex task of updating patient data across multiple regions and environments by moving beyond simple scripts to design a robust, scalable pipeline architecture. This solution ensures efficient batch processing while maintaining stability and data integrity when interacting with various FHIR servers.
The Google Open Health Stack team has released 'Kotlin FHIR,' a new open-source library supporting the FHIR data model. This enables consistent development of FHIR applications across multiple platforms, including Android, iOS, and Web.
In a healthcare setting facing data sharing challenges, a development team enhanced the reference information within FHIR's EpisodeOfCare resources. This embedded contextual details like patient identifiers and facility names, significantly improving data searchability, usability, and interoperability across multiple systems.
FHIR is an international standard developed by HL7 that defines the structure for electronically exchanging health data between IT systems. It enables the open and transparent aggregation of data from diverse sources—such as medical institutions, apps, and wearables—making it available in a format suitable for analysis.
This article is the first installment of a series providing an overview of HL7 FHIR (Fast Healthcare Interoperability Resources). The author, approaching the topic as a non-expert in medical IT, shares insights into the steep learning curve and practical challenges of FHIR. It presents both conceptual understanding and practical approaches for structuring medical data.
This Google Skills Boost page aggregates numerous user reviews regarding the topic, 'Streaming HL7 to FHIR Data with Dataflow and the Healthcare API.' The content primarily consists of general user feedback rather than detailed technical implementation or background information.
FHIRWorks is a free Chrome add-on designed to help healthcare professionals and developers easily understand and verify the capabilities of HL7 FHIR systems. By using this tool, users can efficiently assess the conformance of various FHIR implementations, aiding in improving workflows for healthcare data interoperability.
Google announced multiple innovations utilizing artificial intelligence (AI) to improve global healthcare. These include more accurate health information search features and the integration of FHIR standard APIs for electronic medical record data linkage.
This article describes the use of a Model Context Protocol (MCP) server. This server provides various healthcare tools by interacting with FHIR resources on Google Cloud Healthcare API and public medical research APIs like PubMed.
GoogleはAndroid 16をリリースし、高度なセキュリティ保護や生活の利便性を高める新機能を導入した。特に医療分野では、FHIR規格に対応した電子カルテデータの同期・共有が可能となり、データ管理が強化される。
John Grimes of CSIRO and others developed a new open-source health data standard called 'SQL on FHIR.' This standard aims to make it easier for analysts to analyze large volumes of structured FHIR data using existing skills and tools.