Purpose

The main scope of this task is to transform the FHIR protocol of patient data into a workable and readable tabular format for analytics teams. My idea was to create a simple prototype of a Search engine to help analytics teams to visualise more accessible data.

Workflow of the Data

Data is extracted from the S3 bucket using open-source library boto3 to the server; after that, this data is transferred to MongoDB using another library, PyMongo. Data can be found using the function of PyMongo see https://pymongo.readthedocs.io/en/stable/tutorial.html\

In this task I used ⚒️ :

1. AWS S3 Buket;
2. Django Framework;
3. MongoDB;

Demo

Screen.Recording.2022-02-21.at.08.48.50.mov

🚀 Note: In continues, we can create a form with multiple fields which would help the annalistic team to be classified our patient data using aggregation methods instead of finding just one Patient by ID.