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How can I enhance my ML project using Cloud Healthcare API & BigQuery for real-world impact?

Posted 2 weeks ago
chahatkumar00
Bronze 3
Bronze 3
Reply posted on --/--/---- --:-- AM

Hi Google Cloud Community,

I’m currently learning AI/ML using Google Cloud Skills Boost and recently completed a project based on Cloud Healthcare API, FHIR data, and BigQuery.
My goal was to build something meaningful that visualizes patient health records and allows efficient querying using BigQuery.

What I did:

  • Imported FHIR data using Cloud Healthcare API

  • Exported the data to BigQuery

  • Used SQL and Python to build interactive health dashboards

Now I want to improve it!

I’m looking for suggestions on:

  • How can I extend this project using AutoML, GenAI, or Vertex AI?

  • What improvements can make it more useful in real-world healthcare analytics?

  • Can projects like this qualify for community recognition or swag rewards?

You can check out my GitHub project here: https://github.com/chahat777/chahat777
My Google Cloud Skills Boost profile: https://www.cloudskillsboost.google/public_profiles/815ec66f-5c42-4166-a749-b67820632bf7

Thanks in advance for your suggestions!

Best regards,
Chahat Kumar
B.Tech CSE (AIML), COER University

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Posted on --/--/---- --:-- AM
a_aleinikov
Silver 3
Silver 3
Reply posted on --/--/---- --:-- AM

Hi @chahatkumar00 !

  1. You can use Vertex AI to train a model on your BigQuery data — for example, predict health risks.

  2. Try GenAI (PaLM) to generate summaries or insights from patient records.

  3. To make it more real-world: add de-identification, work with time-based data, and maybe build user roles (doctor, admin, etc.).

  4. For recognition — yes, projects like this can be shared in Google Cloud Community, or tagged with #GoogleCloudReady on LinkedIn. You might get featured or even some swag.

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