Overview

Arcadia Foundry is a healthcare data model developed by analysts for analysts, aiming to streamline complex healthcare data into a simplified schema. This model addresses the challenges of fragmented and unreliable databases by organizing quality, risk, financial, clinical, and contract data into an intuitive structure. This organization facilitates visualization and analysis using preferred business intelligence (BI) or statistical tools. By integrating Arcadia's enriched data assets with proprietary data, organizations can empower analysts to generate precise reports tailored to their specific business challenges.

Features and Capabilities

• Simplified Schema: Presents complex healthcare data in an organized manner, making it accessible and easy to analyze.
• Data Visualization: Compatible with various BI and statistical tools, enabling flexible data representation.
• Unified Data Integration: Allows merging of Arcadia's refined data with an organization's own data, providing a comprehensive analytical perspective.
• Consistent Reporting: Ensures uniform and accurate reporting across the organization, enhancing data reliability.
• Analytical Efficiency: Reduces repetitive tasks for analysts, allowing them to focus on high-value activities.
• User-Friendly Onboarding: Simplifies the learning process for new analysts, facilitating quicker adaptation and scalability.
• Hosted Database: Provides a cloud-based platform that houses all necessary data, built for transparency and easy interoperability.
• Dedicated Reporting Server: Offers an isolated environment for reporting, ensuring performance and data integrity.
• Sandbox Environment: Includes a scalable sandbox database for uploading and experimenting with proprietary data and procedures.
• Third-Party Application Integration: Supports integration with preferred third-party applications, enhancing data science and analytical capabilities.
• Comprehensive Data Coverage: Encompasses a wide range of data aspects, including clinical and claims models, providing a holistic view of healthcare data.