Abhijit Singh
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Abhijit Singh

Building a Data Platform for Healthcare Scheduling

Introduction

Firstlook AI, a leading healthcare imaging services provider, Facing challenges in visualization, schedule modification, and rule creation, Firstlook AI aimed to modernize its operations for improved efficiency and real-time insights.

Firstlook

Overview

I conducted a comprehensive analysis of Firstlook AI's existing scheduling procedures, identifying areas for enhancement. Following collaborative workshops, the proposed solution involved harnessing big data and analytics to create a scalable and secure data platform aligned with HIPAA compliance.

Solution Architecture for Firstlook

Azure Foundation:

  • Leveraging Azure as the foundational platform for storage, computing, and security.

  • Utilizing Azure Data Factory for seamless data integration.

  • Employing Azure Data Lake Storage for efficient data storage.

Data Processing:

  • Incorporating PySpark for streamlined data processing.

  • Utilizing Azure Data Warehouse for structured data storage.

Visualization and Reporting:

  • Employing Power BI for data visualization and real-time reporting.

  • Connecting Power BI to Azure Data Lake Storage through Azure Data Factory.

Power Platform:

  • Utilizing Power Platform for building custom applications.

  • Implementing Azure Logic Apps for workflow automation.

Data Storage:

  • Storing structured data in Azure Cosmos DB for applications.

Results

The implementation of the new data platform provided Firstlook AI with several benefits:

  • Enhanced visibility and control over the scheduling process.

  • Real-time insights into patient scheduling and capacity management.

  • Increased operational efficiency and reduced errors.

  • Empowered the team to make data-driven decisions, leading to overall operational improvements.

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