Doing so can improve your speed-to-analytics timeline and help you identify trial trends and safety red flags more quickly. To achieve a seamless, real-time review of clinical trial data that enables medical monitors to efficiently identify necessary data takeaways, you need a clinical data management system that minimizes the confusion (and headaches) around patient data. When that data is siloed, it can lead to inconsistent versioning, slower data access, and inaccurate findings, all of which lessen the overall value of a clinical trial and its outcomes. Needing quick and clean access to patient data in order to make necessary evaluations is critical to a medical monitor’s role. Without it, data analyses are made increasingly difficult, with medical monitors having to spend more time searching for and standardizing patient data rather than analyzing it.Ī fragmented critical mass of knowledge among medical monitors is hard to avoid when it’s not clear which critical data points are accurate and up-to-date. A central source of truth delivers a critical mass of knowledge that enables medical monitors to reach faster insights with fewer obstacles. When patient data is housed in varying systems, it makes it difficult for medical monitors to access what they need, when they need it. After reading, you’ll not only understand the consequences of failing to centralize and consolidate disparate data sources, but you’ll know how to break down data silos for peak clinical trial efficiency. Let’s take a closer look at some of the drawbacks medical monitors can experience when working with siloed data from multiple sources and vendors. Needless to say, the proliferation of clinical trial data and the reliance on outsourced vendors have made clinical trial management wildly complex. But with more CROs handling your data comes greater challenges surrounding how you access, analyze, and report on that data holistically.

Seeing as the amount of clinical data used per trial has increased by 183% in the last 10 years, organizations are turning to CROs and their vendors to handle this massive influx of data.

In an increasingly outsourced world, clinical trial sponsors are relinquishing control of their clinical trial participant data to third parties in order to free up their teams to focus on the critical tasks in front of them.

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