COTA expands clinicogenomics offering with Genomic Testing Cooperative partnership.

Get clear about value

Achieving value in cancer care requires a
clinically detailed picture of your members’ journeys.

Our Approach

We help you pinpoint the drivers of variation in care by combining our deep cancer expertise with proprietary technology and analytics.
Because a clear picture of cancer will ensure that your members get consistent care with better outcomes at lower costs.

Classifying Cancer

What we do

By providing a population-based view of a specific cancer’s care delivery, we enable the identification of unwarranted variation in care that may adversely impact quality, outcomes and cost. Armed with this information, you can design and implement effective value-based programs, including medical home models, bundled and episode payments, and shared-risk arrangements.

How it works

By combining clinical expertise and claims data, we can use our advanced classification system, the CNA, to more precisely analyze patient populations and manage spend.

Why it matters

Because your members deserve a data-driven approach that ensures they receive high-quality care in the right setting, when they need it most.

Latest Resources

The two companies are joining forces to integrate COTA’s deep clinical oncology real-world data with GTC’s comprehensive genomics testing data.

In Move to Power Precision Oncology for Patients, COTA and Genomic Testing Cooperative Form New Data Partnership

The two companies are joining forces to integrate COTA’s deep clinical oncology real-world data with GTC’s comprehensive genomics testing data.

COTA, Inc. Forms Strategic Real-World Data Research Partnership with the Clinical Research Data Sharing Alliance

COTA, Inc. is now a proud member of the Clinical Research Data Sharing Alliance (CRDSA). This cross-industry alliance is dedicated to accelerating the discovery and delivery of life-saving therapies through the use of high-quality clinical trials and real-world data.

What Makes a Fit-for-Purpose Database for Clinical Oncology Research?

A fit-for-purpose database includes key variables, reliable and accurate data, and representative samples that can be used to draw meaningful conclusions. RWD can be highly valuable in supporting clinical oncology research, but choosing the right data is essential. The keys to finding the right fit-for-purpose database include relevance, reliability, integrity, and bias.

Getting Focused

We can leverage your data to design realistic, rewarding models that advance collaboration with your oncology provider partners.

Our analysis of your data lets you look deeply at performance and outcomes across sites, service lines and even individual providers, so you can evaluate variation and take action to improve care quality and outcomes.

Our easy-to-use data visualization tools display your member data in the clearest, most impactful way to inform and track performance in value models.

Interested in learning more about how we can transform cancer care together?

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