Search results for "Google Cloud": 12 articles
Leopard Data migrated a large-scale, multi-tenant healthcare interoperability platform from AWS to Google Cloud. They utilized an AI agent pipeline to analyze and rewrite FHIR/HL7 codebases, achieving a re-platforming that maintained regulatory compliance.
Addressing the problem of fragmented patient data in the US, this article proposes designing a national Universal Healthcare ID (UHID) system utilizing distributed ledger technology (blockchain). It aims to achieve electronic health record interoperability based on FHIR standards, using Google Cloud Platform (GCP) as the integration engine.
This article details the technical process of using Google Health Connect SDK to extract raw data from multiple wearable devices and transform it into the industry-standard FHIR format. This approach solves data silo issues, enabling the construction of highly interoperable health information systems usable by any medical system.
UST provided a real-time, automated provider data exchange solution compliant with the FHIR standard to a large health insurance association. This resolved critical issues such as manual data conversion and operational delays inherent in the previous system, enabling rapid analysis and decision-making.
Google Cloud has advanced the AI model MedGemma by providing integration capabilities for DICOMweb (medical imaging) and FHIR (electronic health records). This significantly addresses interoperability challenges when handling complex medical data, accelerating adoption in clinical workflows.
The article demonstrates how to update (patch) an FHIR resource using the Google Cloud API with JSON Patch format. Developers can learn specific implementation steps by referencing the provided code sample.
Achieving seamless data sharing between mobile health apps and Electronic Health Records (EHRs) requires utilizing the standard FHIR developed by HL7. This enables patient data to be exchanged securely and in a standardized format across multiple systems.
This technical documentation provides examples of how to programmatically update a FHIR resource using Google Cloud's Cloud Healthcare API. Developers can reference implementation examples in Go and Java to change the status (active/inactive) of a FHIR resource within a specific dataset.
Data technology provider InterSystems announced a strategic partnership with Google Cloud. This aims to deeply integrate InterSystems HealthShare with Google Cloud's medical APIs, building a unified data foundation for utilizing generative and agentic AI.
Castor launched Catalyst, an AI-powered platform designed to automate burdensome tasks in clinical studies. The system aims to dramatically reduce time, cost, and errors by automating processes like data entry and verification.
Exafluence offers a comprehensive, AI-powered FHIR platform to achieve secure and efficient healthcare data exchange and improve interoperability. The platform supports solving healthcare challenges through practical implementation strategies and guides for decision-makers.
Healthcare AI startup Suki announced major updates to its flagship product, Suki Assistant, in collaboration with Google Cloud. The new features include patient summarization and clinical Q&A, aiming to reduce administrative burden and improve decision support for clinicians.