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Cloud Healthcare API

Fundamental 5 Steps Hours 29 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.

Data Business Transformation Machine Learning Security

Quest Outline

Praxisorientiertes 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.

Praxisorientiertes Lab

Machine Learning Predictions with FHIR and Healthcare API

In this lab you will create a prediction pipeline for FHIR resources using Cloud Healthcare API and AI Platform.

Praxisorientiertes 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.

Praxisorientiertes 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.

Praxisorientiertes 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.

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