Built by Healthcare Experts, For Healthcare Experts
Through our experience building numerous analytical solutions, we’ve realized that extracting value from clinical data assets is no easy task. We believe that this requires deep technical expertise and customization that no “out-of-the-box” solution can provide. As such, we work with our clients to implement the right solution for them, working as partners not a vendor. We consistently keep the end business and analytical goals of an organization in mind, beyond the technical specs, to ensure a solution with long-lasting value.
We’ve built our Healthcare Data Integration solution based on next-generation “big data” architecture and artificial intelligence technologies with unparalleled security. Because we rely on this infrastructure to power our analytics day-in and day-out, our teams are dedicated to evolving the solution to be more efficient, effective, and innovative on an ongoing basis.
Innovative Capabilities
- Employs managed ingestion, bringing in data that is streamed in real time, near real time, or uploaded in batch
- Transforms all ingested files to conform to a common data model, allowing for the creation of a unified health record view
- Supports any number of analytical and reporting use cases, including quality-related reporting for HEDIS®/Stars
- Applies Natural Language Processing (NLP) technology to analyze text-based language, such as the information found in clinical notes on a patient chart in the EHR
Why Pareto?
Healthcare-Specific
Our solution is built for healthcare and tailor-made for healthcare analytics applications.
Secure and Compliant
Our organization has achieved HITRUST certified status, validating our commitment to compliant practices.
Not a “Black Box”
We offer the ability to deploy open source code that can be owned and customized for your own internal use.
A Powerful Foundation
Our Data Management Platform
Pareto’s Data Management Platform, the foundation to our solutions, is built around data lake, artificial intelligence, and open source big data technologies to allow us to effectively ingest data in all formats and types at scale, organize them with appropriate data governance mechanisms within our data catalog, and provide efficient configuration capabilities to democratize data access and analytics.
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