Search results for "Google Cloud": 53 articles
Google Cloud announced the phased deprecation of multiple features, including the Cloud Healthcare Annotations API and Healthcare Natural Language API. Users are advised to transition using FHIR resources or migrate to Gemini models on Vertex AI.
Developed by HL7, FHIR (Fast Healthcare Interoperability Resources) is an international standard designed to exchange medical information safely and easily across different systems. This article explains its mechanism and advantages in meeting modern data sharing needs.
Kartha-AI has released an MCP (Model Context Protocol) server designed to interact with FHIR resources from public medical research APIs, such as Google Cloud Healthcare API and PubMed. This enables comprehensive access to various clinical and research data.
Kartha-AI has released a Model Context Protocol (MCP) server designed to interface with the Google Cloud Healthcare API (FHIR) and public medical research APIs. This tool, an enhanced version of the AgentCare MCP Server, facilitates data exchange by communicating with GCH API via Firebase Auth.
This article introduces the 'MCP Server for Google Cloud Healthcare API,' which enables interaction with FHIR resources and medical research APIs. Using this server, users can search patient data (vitals, medication history) and also access advanced medical research information from PubMed and ClinicalTrials.gov.
A study by Cho et al. reported an implementation example of information management using FHIR on Google Cloud. This research demonstrates how electronic health record data and medical information can be handled in a specific cloud environment.
This article reviews various API platforms utilizing FHIR, a standard for fast healthcare data exchange. It introduces solutions from major cloud vendors like Google Cloud, Microsoft Azure, and AWS, which aim to improve interoperability and enable patient-centric care.
Google Cloud's API details how to delete specific FHIR operations (Operations). This provides a technical methodology for executing bulk data deletion requests based on the FHIR specification.
DrapCode enables the construction of healthcare applications and functional data exchange using HL7 FHIR standard data stored on Google Cloud, without requiring backend development. This facilitates real-time information sharing of patient records and lab results between hospitals and clinics.
AI startup Affineon Health announced it raised $5 million in a funding round. The company aims to simplify provider workflows and reduce administrative burdens by offering an AI-powered inbox, using the funds for product development and market expansion.
This guide explains how to export healthcare messages stored in HL7v2 format using Google Cloud's Cloud Healthcare API. This process allows for the bulk extraction of data into Cloud Storage, enabling subsequent processing and analysis.
This article provides a detailed comparison of FHIR and OpenEHR, two major standards for managing and exchanging electronic health data. It analyzes the unique strengths and design philosophies of each standard to provide guidelines on how to choose between them based on specific use cases (data exchange vs. structured clinical record keeping).
Suki, a leader in healthcare AI, announced major enhancements to its flagship product, Suki Assistant, through a partnership with Google Cloud. The integration enables the generation of patient summaries from EHR data and provides conversational answers (Q&A) to medical questions, fundamentally transforming clinical workflows.