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Prometheus Federated Data Network Platform

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Prometheus

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Overview

Differentiators

Features

Use Cases

Overview

Differentiators

Features

Use Cases

Solution Overview

Prometheus is a federated data analytics and data network platform developed by EPAM, enabling collaborative research powered by open-source analytics standards, designed to support the healthcare industry in generating real-world evidence.

Prometheus offers a range of features and capabilities to support collaborative research and data analytics, including federated data analytics, data network support, OHDSI ATLAS compatibility, OHDSI and non-OHDSI support, scalable analytics execution, collaboration tools, data catalog, and security and access controls.

Specifically, Prometheus enables researchers to analyze data from multiple sources without needing to transfer or pool the data, allowing for more efficient and secure data analysis. It also supports the creation of private or public data networks, enabling researchers to collaborate and share insights, code, and results securely.

Prometheus provides a scalable execution engine that allows researchers to perform complex analyses on large datasets. Collaboration tools include a suite of features, including a modern user interface, and a centralized environment supporting end-to-end study workflow orchestration.

The platform includes a data catalog, dataset characteristics and quality reports, and usage metrics.

Finally, Prometheus provides enterprise-grade security and multi-level access controls to ensure data privacy and security.

Customer Problem

Data is limited within individual organizations with insufficient access to networks.
Data is not aggregated/federated, leading to issues with compliance.
Data is not downloadable and/or reproducible, making submission to regulatory bodies challenging.
Limited access to productivity features and shortcuts slows time to solution.
Siloed research often results from a lack of study collaboration, artifact sharing and reuse capabilities.

EPAM Solution

Prometheus is a powerful and versatile platform that can enable collaborative research and data analytics in the healthcare industry. Its comprehensive features, compatibility with industry standards, and focus on security and collaboration make it a valuable tool for researchers and healthcare organizations seeking to leverage the power of data to improve patient outcomes.

Prometheus Dara catalog utilization stats

1/10

Key Differentiators

Taxonomy-Driven Integrated Vocabularies

Support OMOP CDM standard and custom vocabularies

Comprehensive Data Catalog

Artifact library, metadata, data characterization and pluggable analytics

Benefits

Improved Productivity

Advanced UI/UX, artifact reuse and gen-AI for efficiency

High Research Quality

Open data analytics standards, results reproducibility

Improved Collaboration

Secure platform for federated data access and analysis

Enhanced Data Security

Enterprise-grade protection and tiered access controls

Features

Federated Data Analytics: Enables researchers to analyze data from multiple sources without needing to transfer or pool the data.
Data Network Support: Supports the creation of private or public data networks, enabling researchers to collaborate and share artifacts, code and results securely.
OHDSI ATLAS Compatibility: Fully compatible with the OHDSI ATLAS tool, allowing researchers to collaborate and exchange designs with ATLAS users.
OMOP and Non-OMOP Support: Supports both the OMOP common data model and non-OMOP data, providing flexibility for researchers working with different data formats.
Scalable Analytics Execution: Provides a scalable execution engine that supports R and OHDSI HADES, allowing researchers to perform complex analyses on large datasets.
Collaboration Tools: Offers a suite of collaboration features, including a modern user interface, and a centralized environment supporting an end-to-end study workflow orchestration.
Data Catalog: Includes a data catalog, database characterization and quality reports and usage statistics.
Security and Access Controls: Enterprise-grade security and multi-level access controls to ensure data privacy and security.

Use Cases

Healthcare Organization

Problem Statement

The analysis of health data is significantly hampered by data heterogeneity, vocabulary inconsistencies, a lack of standardized tools, visualization difficulties and collaboration barriers stemming from security and workflow issues

Solution Proposed

Implemented Prometheus as the federated data analytics and data network platform, leveraging collaboration features to facilitate teamwork and data sharing

Achieved Results

Established the framework of a robust network that enabled standardized and collaborative research across the organization, improving data quality and consistency

Large Volume Data Standardization