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Case Study

Data Lake Layer for Pharmacy Integration Service

Opsfuse > Case Studies > Data Lake Layer for Pharmacy Integration Service

Domain

  • Healthcare

Overview

  • OpsFuse collaborated with a leading USA-based healthcare platform that connects patients, providers, and healthcare companies.
  • The client encountered challenges with legacy SQL databases consisting of a decade of data, leading to delays in delivering patient data to various pharmacy web applications.

Scope

  • Scalable solution to enable real-time data access for seamless integration on new pharmacy websites
  • Robust authentication and authorization mechanisms
  • Seamless integration with new pharmacy websites

Solutions

  • Design and Implementation of Data Lake using Azure technologies
  • Scalable and cost-effective storage solution for legacy SQL’s
  • Real-time Data Pipeline and Change Data Capture (CDC) Pipeline capturing and synchronizing updates from the internal data warehouse to the database in real-time
  • Robust API infrastructure for seamless communication between the client’s healthcare platform systems and external applications
  • Design and implementation of RESTful APIs for patient workflows
  • Multi-tenant e-commerce platform supporting seamless onboarding of multiple drug manufacturers
  • Adherence to HIPAA compliance standards
  • Payment gateway Integration with trust commerce

Challenges

  • Studying complex SQL queries and transforming them into a document format
  • Understand the existing manual workflows, internal processes, and standards
  • Mapping legacy systems with new technology stack in collaboration with multiple stakeholders and teams on client side
  • Complex business logic for Patient workflow implementation
  • Studying existing ETL and rewrite as applicable for faster access

Impact

  • Transformation of traditional healthcare systems into an automated platform, expediting processes and reducing costs.
  • Improved data management practices, leading to enhanced data reliability and accessibility.
  • Streamlined user workflows, resulting in improved efficiency and user satisfaction.
  • Migration of healthcare data to the cloud adhering HIPAA compliance standards
  • Overall improvement in efficiency, affordability, and accessibility of healthcare services.

Technology

  • Java, Python
  • Scala, Shell Scripting, Golang
  • Keycloak authentication
  • TrustCommerce payment gateway
  • Azure Cloud Platform
  • Cassandra, PostgreSQL
  • Distributed Queues - Kafka-zookeeper, Azure HD insight (Native Kafka support)
  • Analytical Tools - Azure Data Factory, Azure Blob Storage, HADOOP, Hive
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