Microsoft announced that many of its products and services will undergo phased deprecation by 2026 due to end-of-support cycles. This includes multiple technical components such as Azure API for FHIR.
Google, the Linux Foundation, and WHO established the 'Open Health Stack Software Foundation' to provide a common open-source foundation for healthcare. This aims to enable information exchange between previously siloed medical systems and applications, facilitating next-generation digital health, including AI medicine.
Google has officially transferred ownership of its Open Health Stack (OHS) to the Linux Foundation. This move establishes a community-led ecosystem, providing developers with open-source tools aimed at addressing global health inequities.
Google is transferring the Open Health Stack project to the Linux Foundation, establishing a new vendor-neutral platform. This effort focuses on core HL7 FHIR technologies and aims to build open-source, AI-ready digital health infrastructure with support from Microsoft and WHO.
The Linux Foundation is launching the 'Open Health Stack Software Foundation,' backed by Google and WHO. This new body aims to serve as a neutral home for open-source software used in digital health applications, including those utilizing AI.
The Linux Foundation announced the intent to launch the Open Health Stack Software Foundation, aiming to advance open-source, AI-ready digital health applications. Supported by Google and WHO, the goal is to close global health equity gaps.
The World Health Organization (WHO) joins the Open Health Stack Software Foundation. This effort aims to solve fragmented digital health systems in various countries by accelerating the creation of universal health infrastructure based on shared interoperability standards.
Google has integrated its Gemma 4 AI models and Medical Data Toolkit into the Aarogya Setu 2.0 app. This enables the extraction of crucial clinical information from unstructured medical records and converts it into the FHIR standard format, thereby enhancing interoperability in India's digital health sector.
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.
The author loaded the same dataset (1,000 Synthea patients) into HAPI FHIR and Google Cloud Healthcare API and found that both servers returned different responses across multiple queries. Significant interoperability issues were identified, particularly concerning data ingestion and transaction handling.
The Google Cloud Healthcare API provides tools to handle FHIR resources, enhancing healthcare data interoperability within the Google Cloud environment. It also enables integration with public medical research APIs like PubMed.
We BiNar offers integrated solutions that cover the entire healthcare workflow—from PACS systems and EHR integration to patient portals—based on international standards like DICOM and HL7 FHIR. This ensures centralized management of diagnostic images and reports, extending even to data submission to Italy's FSE 2.0, guaranteeing high interoperability.
This article details the process of bulk deleting multiple FHIR resources from a FHIR store using the Google Cloud Healthcare API. It explains how filtering by criteria like resource type and last updated time helps manage data efficiently and reduce costs.
This article explains how to efficiently delete large volumes of data from a FHIR store using the Google Cloud Cloud Healthcare API. Users can bulk-delete multiple FHIR resources based on specific criteria (such as resource type or last updated time), which is useful for data lifecycle management and cost reduction.
The Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By utilizing this API, users can ingest industry-standard data formats—FHIR, HL7v2, and DICOM—and connect them to advanced capabilities like BigQuery and machine learning engines.
This article explains how to manage Identity and Access Management (IAM) access for a Google Cloud Platform (GCP) Healthcare FHIR Store using Pulumi resources. It details the process of implementing access control to the FHIR store.
Using the Google Cloud Healthcare API, it is possible to conditionally delete FHIR resources that match a specific search query. This allows for efficient cleanup of unnecessary data and strengthens data governance within the system.
This article provides a technical guide on how to conditionally delete FHIR resources using the Google Cloud Cloud Healthcare API. Developers can use programming languages like Go or Python to call the API, allowing them to manage and bulk-delete resources that match specific criteria (e.g., old data or changed status) within a dataset.