Google Cloud Skills Boost

Cloud Healthcare API

6 hours Fundamental universal_currency_alt 13 Credits
Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.
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  • Lab

    Ingesting FHIR Data with the Healthcare API

    In this lab you will learn the basic functionalities of Cloud Healthcare API using the Fast Healthcare Interoperability (FHIR) data model.

  • Lab

    Ingesting HL7v2 Data with the Healthcare API

    In this lab you will discover and use the basic functionality of Cloud Healthcare API using HL7v2 messages.

  • Lab

    Ingesting DICOM Data with the Healthcare API

    In this lab you will learn the basic functionality of Cloud Healthcare API using Digital Imaging and Commmuniations in Medicine (DICOM) data model.

  • Lab

    De-identifying DICOM Data with the Healthcare API

    Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

  • Lab

    Streaming HL7 to FHIR Data with Healthcare API

    In this lab, you will explore some of the features of Cloud Healthcare API (HCAPI) to stream HL7v2 messages into HCAPI datastores and convert HL7v2 to FHIR and import the FHIR data into BigQuery for analytical use.

  • info
    Quest Info
    Available languages
    English
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