By Vadim Pinsky, PhD, and Gabe Goldfeder, M.A.
One of the key frameworks for understanding data analytics in Real-World Evidence (RWE) is the “Five Vs”: Velocity, Volume, Variety, Veracity, and Value. Each aspect plays a crucial role in the data collection and analysis process, shaping how efficiently and accurately insights are generated. For healthcare professionals, researchers, and decision-makers, understanding and optimizing these dimensions is essential to unlocking the full potential of RWE in improving patient outcomes, driving innovation, and meeting regulatory demands.
At OM1, we recognize the importance of all five Vs because they represent the foundation of robust data analytics. Whether managing large data volumes, ensuring the integrity of diverse data sources, or striving for actionable value, these elements collectively determine the quality of insights you rely on to make critical clinical and business decisions.
In this article, we will focus on Velocity because the speed at which data can be processed and translated into meaningful insights is often the key differentiator in a competitive healthcare environment. Whether running clinical trials, optimizing patient care, or navigating regulatory submissions, faster access to reliable insights gives you a decisive edge. At OM1, we have developed a strategy to enhance data velocity without compromising accuracy, privacy, or quality—ensuring that your organization can respond more quickly and effectively to the demands of modern healthcare.
Velocity and OM1
Velocity refers to the speed at which data is processed and insights are generated. In a world where speed is critical, no one likes to wait—whether it’s for a webpage to load, a project insight to be delivered, or data to be analyzed. While tech giants like Google and Microsoft have built robust data engines to handle the velocity of their massive datasets, healthcare presents unique challenges. Though healthcare data streams may be smaller, the burden of analysis and insight generation is significantly greater.
At OM1, we’ve developed a cutting-edge approach to data ingestion, active quality control, and normalization. Our process integrates direct and co-pilot algorithms, efficiently guiding data through multiple stages while maintaining the integrity of key insights. Powered by a global cloud infrastructure and a network of specialized teams, OM1 ensures that data is processed with both speed and precision—all while safeguarding data security, HIPAA compliance, and patient privacy.
OM1 Aspen: Accelerating RWE through Our Site Network
OM1’s focus on velocity is evident in the ongoing success of the OM1 Aspen site network. By partnering with clinical sites, OM1 facilitates the execution of RWE studies, helping to accelerate the generation of critical insights for improving patient outcomes. The OM1 Aspen site network enhances data processing speed and ensures the quality and reliability of insights delivered to our partners.
If you are interested in how OM1 Aspen can work with your site or want to learn more about joining our site network, contact us today to explore potential collaborations. Together, we can streamline RWE and bring meaningful insights to the forefront of healthcare innovation. Stay tuned for our next article, which will discuss Volume in data analytics.