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Four Reasons To Optimize Your Clinical Supply Chain Management

GettyImages-1284096718 clinical research

This is our third paper in a series of five on clinical supply chain management optimization. First, we explored who needs clinical supply chain optimization and then when you need to optimize your clinical supply chain management. This paper will discuss four reasons to optimize your clinical supply chain management, or in other words, the business benefits to be had.

Two years ago, a good portion of the U.S. population did not know what a supply chain was. Today, with store shelves empty and inflation rising, it’s safe to say we do now. For clinical trials, supply chain issues that involve getting lab kit components, investigational product (IP), medical devices, ancillary clinical supplies, and biological samples to the right place at the right time are preventing clinical trials from staying on budget and completing within the planned timeline.

There are four high-level business benefits that result from clinical supply chain management optimization, each supported by a handful of positive operational outcomes that support these benefits. In summary, the four reasons to optimize your clinical supply chain management are to:

  1. Minimize Risk for your clinical trial
  2. Reduce the Costs of your clinical trial
  3. Improve the Productivity of clinical trial collaborators
  4. Increase Subject Retention so you make the most of each participant

Before we begin, we want to acknowledge the fact that optimizing your clinical supply chain management with clinical trial data management techniques that depend upon the use of spreadsheets, post-it notes, manual and paper-driven processes, or having research sites transcribe data from their systems into an EDC or other trial-specific systems just doesn’t work. Digital transformation using a central, online system or platform that all the clinical trial collaborators use is required. We won’t go into the specifics of these systems or how they do what they do. Instead, we will focus on why you should take a hard look at implementing one for your clinical trials.


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