reviewing DCEG Connect architectures and applications
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https://observablehq.com/@episphere/aou
Example of a one input field being enough for address validation using GCP Place services:
https://developers.google.com/maps/documentation/javascript/examples/places-autocomplete-addressform
https://console.cloud.google.com/storage/browser/gcp-fhir-demo-dataset-synthea
· Lines of data vs complete data for an individual
· Specific to version 1
· Theoretically, can get details on metadata and lists of Patients, Observations, and Encounters, but couldn’t get API calls to work as described on GitHub https://github.com/synthetichealth/syntheticmass/blob/master/docs/using-fhir.md
· Additional information about Synthetic Mass and the program that generated it are found here https://github.com/synthetichealth
· Very large nested compressed files in multiple formats that take a very long time to extract
· No documentation on organization of compressed folders
· Based on extraction so far JSON and XML files are one file per person per data type (demographic, allergies, etc.)
o This is why demo was either for a sample of 100 patients or single files per patient
· Must then be uploaded to GCP
· Cannot be used with BigQuery without first converting to newline delimited JSON
· Permissions may be affected by account access vs email access of GCP
o May be lag or due to linking nih account when setting up options, since I have access others should experiment.
· No documentation in the FHIR Demo Dataset Google Group, just access to Synthetic Mass data on GCP
· Available folders:
o One set appears to be the 1K Sample FHIR STU3 also available on the download page
o Unclear what r4 refers to