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Healthcare Data Modernization and Analytics Platform Development

effectivesoft.com

Health & Fitness

Data Quality and Siloed Data Challenges

National Health Systems Corp is facing challenges with data quality and consistency due to a growing number of diverse data sources across its facilities. This lack of data trust hinders accurate reporting, analysis, and ultimately, informed decision-making. The current fragmented data landscape requires a unified solution to ensure data integrity, automate data loading, and provide robust analytics capabilities.

About the Client

A leading US provider of managed healthcare services operating a growing network of healthcare facilities across the country, focused on delivering high-quality, data-driven patient care.

Project Goals

Establish a centralized, reliable data warehouse for all healthcare data.
Improve data quality and consistency through data cleansing and standardization.
Enable advanced analytics and reporting capabilities for data-driven decision-making.
Automate data loading processes from various sources.
Implement data alerting mechanisms to notify responsible officers of data quality issues.
Enhance data security and access control.

Functional Requirements

Data ingestion from various healthcare data sources.
Data transformation and cleansing processes.
Automated data loading pipelines.
Data quality monitoring and alerting.
Reporting and dashboarding capabilities using Power BI.
Role-based access control.
Master data management.

Preferred Technologies

Azure

Power BI

Azure Data Factory

Azure Blob Storage

Azure Event Grid

Azure Logic Apps

Azure Key Vault

Azure SQL Database

Azure Analysis Services

Required Integrations

Various healthcare data systems (e.g., EMR/EHR systems, billing systems, lab systems)
API integrations with data sources.

Key Non-Functional Requirements

Scalability to handle growing data volumes.
High availability and reliability.
Data security and compliance with healthcare regulations (e.g., HIPAA).
Performance for timely data processing and reporting.
Data integrity and consistency.

Expected Business Impact

This project is expected to significantly improve the quality of services, strengthen market positioning, increase revenues, and reduce expenses by enabling data-driven decision-making, optimizing operational efficiency, and improving patient outcomes. The improved data trust will lead to more accurate reporting and insights, empowering the organization to make informed strategic decisions.