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.
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.
Azure Foundation:
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Leveraging Azure as the foundational platform for storage, computing, and security.
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Utilizing Azure Data Factory for seamless data integration.
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Employing Azure Data Lake Storage for efficient data storage.
Data Processing:
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Incorporating PySpark for streamlined data processing.
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Utilizing Azure Data Warehouse for structured data storage.
Visualization and Reporting:
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Employing Power BI for data visualization and real-time reporting.
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Connecting Power BI to Azure Data Lake Storage through Azure Data Factory.
Power Platform:
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Utilizing Power Platform for building custom applications.
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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:
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Enhanced visibility and control over the scheduling process.
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Real-time insights into patient scheduling and capacity management.
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Increased operational efficiency and reduced errors.
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Empowered the team to make data-driven decisions, leading to overall operational improvements.