Create PubSub Topics and Subscriptions
Create BigQuery Dataset
Create Healthcare API Dataset and Datastores
Create Service Account and add IAM binding
Create GCS Buckets for Mapping Configs
Create GKE Cluster
Create Deployment & Service for MLLP Adapter
Create SimHospital Deployment
Create Dataflow Job
Streaming HL7 to FHIR Data with Healthcare API
In the healthcare industry today, data (EHR) is in disparate formats and silos and often non-interoperable, meaning the silos cannot be shared with each other. Additionally, the global healthcare community has adopted FHIR as the main format for web applications. Getting the disparate formats into FHIR has been a challenge for many healthcare organizations.
In this lab, you will explore some of the features of Cloud Healthcare API (HCAPI) and the Healthcare Data Harmonization tool to stream HL7v2 messages into HCAPI datastores and convert HL7v2 to Fast Healthcare Interoperability Resources (FHIR), then import the FHIR data into BigQuery for analytical use.
To complete this lab, you need:
Access to a standard internet browser (Chrome browser recommended) and a good Internet connection.
The gcloud and bq utilities installed on the system on which you will run the lab. These utilities are already installed in Qwiklabs and Cloud Shell. If you are completing this lab in another environment, install Google Cloud SDK, which includes these utilities. See Installing Google Cloud SDK for steps.
Time to complete the lab.
What you learn
In this lab, you will:
Gain a general understanding of the Cloud Healthcare API and its role in managing healthcare data.
Learn how to create Cloud Healthcare API datasets , HL7 and FHIR stores.
Import HL7 data and importing into a FHIR data using the Cloud Healthcare API.
Exporting data from the FHIR store into BigQuery.
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