Development of a Centralized Master Data Management System for Healthcare Entities

The client, a large healthcare provider expanding its network across the country, faces significant challenges due to fragmented, incomplete, and inconsistent data across multiple systems. This fragmentation hampers patient care history accuracy, credentialing processes, directory maintenance, resource allocation efficiency, and contract tracking, necessitating a unified and reliable data repository for critical healthcare entities.

A rapidly expanding healthcare organization operating across multiple locations with complex data management needs for patients, providers, locations, and contracts.

• Establish a single, authoritative source of truth for key healthcare data entities including patients, locations, providers, and contracts.
• Enhance data accuracy, consistency, and integrity across all systems to support reliable reporting and analytics.
• Improve operational efficiency by reducing redundant data entry and streamlining administrative processes.
• Ensure data security and compliance with healthcare regulations through centralized control mechanisms.
• Enable advanced analytics and decision-making based on comprehensive and authoritative data records.

• Data upload functionality for importing provider, location, and contract data from external sources or manual entry by data stewards.
• Duplicate detection algorithms and merging capabilities to ensure data uniqueness and accuracy.
• Support for maintaining historical data accuracy and change control for comprehensive reporting.
• APIs for secure access, retrieval, and usage of master data entities across applications.
• Data validation, cleansing, and standardization processes during data ingestion.
• Role-based access controls and auditing mechanisms to ensure data security and compliance.

• External healthcare data sources for provider, location, and contract information
• Existing internal systems and databases for data synchronization
• Reporting and analytics tools such as Business Intelligence platforms

• High data security and compliance with healthcare regulations (e.g., HIPAA)
• Scalability to handle increasing data volumes as the network expands
• High performance with minimal latency for data access and processing
• Availability and reliability with system uptime targets (e.g., 99.9%)
• Comprehensive audit trails for data modifications and access

The implementation of a centralized master data management system is expected to significantly improve data consistency and accuracy, reduce data errors and redundancies, and eliminate data silos. This will streamline administrative workflows, enhance compliance with regulatory standards, and enable more accurate analytics, leading to improved patient care, optimized resource allocation, and better management of healthcare contracts across the organization.