ES|QL On Electronic Health Records

Contents

1. Summary
2. Architecture
3. Features
4. Prerequisites
5. Installation
6. Usage

Summary

This is a demonstration of usage of Elasticsearch Query Language (ES|QL) in an electronic health records (EHR) domain.

Architecture

Features

• Jupyter notebook
• Builds an Elastic Serverless project via REST API in Python
• Generates synthetic FHIR documents with Synthea
• Populates multiple indices in that project with those documents
• Demonstrates various ES|QL query capabilties against this FHIR data set
• Deletes the project

Prerequisites

• Elastic Cloud account and API key
• Azure Openai resource and API key
• Java
• Python

Installation

• Edit the .env-template file and rename to.env
• Create a Python virtual environment and install the requirements.txt

Usage

• Execute notebook