Search results for "Google Cloud": 53 articles
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.
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 formatsโFHIR, HL7v2, and DICOMโand 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.
Google Cloud updated FHIR resources using the Cloud Healthcare API.
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.
Google provides a de-identification function for FHIR data, as well as DICOM images and metadata, through the Cloud Healthcare API. This tool is intended only for demonstration purposes and does not call the actual de-identification API.
The Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By utilizing this API, it becomes possible to ingest industry-standard data formats like FHIR and HL7v2, enabling advanced utilization for analytics in BigQuery and machine learning.
This guide demonstrates how to process clinical data in Fast Healthcare Interoperability Resources (FHIR) format using Google Cloud's Cloud Healthcare API. By deleting or modifying Personally Identifiable Information (PII) and Protected Health Information (PHI), users can prepare the data for analysis and research while protecting patient privacy.
This article explains how to retrieve the Identity and Access Management (IAM) policy configured for an FHIR store using Google Cloud's Cloud Healthcare API. Developers can confirm access permissions for specific FHIR stores at the project, location, or dataset level using provided code examples (Go, Java, Node.js).
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Google Cloud has enabled the centralized processing of electronic health records (FHIR), diagnostic images (DICOM), and clinical messages (HL7v2) through the Cloud Healthcare API. This allows healthcare institutions to manage and utilize diverse data formats in an efficient environment.
This guide explains how to export messages from an HL7v2 data store within Google Cloud Healthcare API to a Pub/Sub topic. This method addresses the lack of automatic notification mechanism when new HL7v2 messages are imported into a data warehouse.
This article provides detailed instructions and code samples for updating the configuration (Pub/sub topic name) of a DICOM store using the Google Cloud Healthcare API. Developers can modify the notification settings of a DICOM store via API calls using major languages like Go, Java, and Node.js.
This documentation provides technical procedures and code samples for patching (updating) FHIR resources using the Google Cloud Healthcare API. Developers can manage resource state by utilizing `application/json-patch+json` Content-Type to modify specific field values.
Google has published a guide detailing how developers can securely and efficiently connect various IDEs to the Cloud Healthcare API using Model Context Protocol (MCP). This enables LLMs to directly search and manipulate FHIR and DICOM data within healthcare datasets.
Google Cloud's Cloud Healthcare API allows for the batch retrieval of large volumes of HL7v2 messages. This capability resolves issues related to network costs and processing load associated with traditional single-message fetching, thereby improving data integration efficiency.