With data, quality makes all the difference

The success of any research project hinges on the quality of the data used. With high-quality data, your study has the potential to efficiently generate actionable results. In contrast, studies without accurate, clean and complete data are likely to face delays, cost more, and produce incorrect or inconclusive findings. And that’s why delivering high-quality, fit-for-purpose data is a top priority for CVS Healthspire^TM Life Sciences Research.

We offer clients an unmatched volume of data, a variety of data types, and proven processes for gathering, scrubbing and analyzing data. Let’s look at how each of these areas enables us to meet the unique research needs of the life sciences industry — and exceed client expectations.

1. More patients means better data

The breadth and depth of our data set us apart from other life sciences organizations. Using information gathered from the CVS Health® family of companies, our data sources represent more than 185 million¹ patients across the country. And that’s possible because we interact with people every day in our pharmacies, medical clinics, retail stores, call centers and more.

The broader your data pool, the more reliable, complete and adaptable your data will be. And all three of these data characteristics are necessary in research. Reliable data lead to accurate results. Complete data avoid research gaps and delays. And adaptable data allow for adjustments as a study progresses. In addition, our high data volume enables us to find patients who meet unique criteria, which is especially important when researching rare conditions.

2. One vendor, various data types

When you work with us, you have access to data from electronic health records (EHR), insurance claims (medical, pharmacy), lab results, prescription history and fills, testing, vaccines and more. This wide variety of data gives you unique perspectives and flexible research options. And longitudinal data collected over the past 20+ years allows you to research disease patterns and progression more effectively.

Working with one vendor for all your data needs is efficient. That’s because we can handle all aspects of data collection, analysis and integration — delivering a truly streamlined experience. And this is all possible because our technology and infrastructure give one access point for data across the CVS Health family of companies.

3. Well-defined processes lead to data integrity

As an industry leader, we take pride in the way we format, store and access data — in fact, our approach to data is best described as clinical and precise. Over the years, we’ve built methodical, proven processes to store, collect, de-identify, integrate, verify and clean data. And while many competitors only offer modular research services, we can handle all data processes for clients — from start to finish.

Through an established system of checks and balances, our data warehouse team upholds the highest standards for data integrity. Because we know clients use data for different purposes — like research studies, financial reporting, regulatory standards, actuarial statements and quality reporting — we provide regulatory-grade data to all clients.

High-quality data and expert collaboration — a powerful combination

With any client relationship, collaboration is the key. And that’s why our consultative model is so effective. From the start, our experts work with you to understand your data needs and requirements, and then develop a strategy for how our data can help you achieve your research goals.

And that’s just the beginning. With decades of experience, our team is available every step of the way to share insights, make adjustments and support your data needs. After all, we’ve built our business around helping clients produce meaningful research and actionable results. And our fit-for-purpose data can help you, too. 

Connect with us to learn how we can work together to accelerate your research.