The heart of Pareto is our intelligent data platform

Our intelligent data platform seamlessly collects, aggregates, and organizes healthcare data to deliver analytics and technology solutions that help clients optimize revenue, lower costs, improve quality of care, and ultimately achieve better outcomes. We focus on understanding the impact of all data sources, while also applying artificial intelligence and machine learning to continuously advance our algorithms and improve the predictability of our analytics as new data is ingested and processed.

Built for the Future

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Exclusively Healthcare

We are healthcare data experts who understand the deep complexities of health plan, government, and clinical data. Our platform is purpose-built for the unique nuances of MA, ACA, and Medicaid, ensuring your data is handled with industry-specific precision.

Modern Tech Stack

Pareto employs a mature, state-of-the-art technology stack designed to ingest, transform, and enrich complex data at scale. We deliver the speed and stability required to influence meaningful health outcomes.

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Advanced Solutions

The outputs of our platform feed real-time applications, and we use machine learning to refine processes with experience and apply artificial intelligence to achieve speed and scale.

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Leveraging Diverse Experience

Our data science team is built on a foundation of experience in every part of the healthcare continuum (e.g., payor, provider, patient) as well as experience in other industries (e.g., consumer insights, retail analytics, sports analytics, physical sciences). This foundation fosters a well-rounded and innovative approach to developing analytical solutions.

Inclusive of Various Data Sources

Our models incorporate data from a seemingly endless variety of sources, including purchased third-party and publicly available data, to provide the deepest insights from unique perspectives.

Industry Leading Technical Expertise

We use and maintain expertise across virtually all statistical modeling tools relevant in the industry including Python, R, and SAS. We are committed to efficiently and expertly using the tools most appropriate for the modeling task at hand.

Applying Responsible Analytics

In an age where the predictive analytics philosophy seems to be “more is better,” we say “not so fast.” Because the experience of our teams cast a wide net, and our understanding of the healthcare space runs deep, we have learned the importance of intention and precision when developing analytics in this industry. Simply put, we have found that more is not always better.

We are committed to continuous and speedy innovations by tapping into unexpected data sources and using creative modeling techniques, but we make sure to take a measured and responsible approach to putting these innovations into practice. “Responsible Analytics” is the idea that the predictive algorithms with the greatest return for our clients are those that are thought through, carefully crafted, and appropriately applied.

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Fill out the form to take the first step toward reaching your goals. Share a few details so we can provide the right resources and support tailored just for you.