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We had the opportunity to present our paper, “Optimizing SAS Programming Pipelines Using the %Unpack and %SearchReplace Macros for Version Control and Customization”, written by Ning Ning, Statistical Programmer I, and Assir Abushouk, Manager, Statistical Programming, at PharmaSUG 2025 in San Diago. The presentation focused on a practical SAS macro program we developed to address common challenges in clinical programming, particularly around version control, customization, and study startup efficiency in CROs.
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In a CRO environment, managing Data Management programming requests presents significant challenges, including prioritization, resource planning, and timely delivery of results. There are a set of recurring tasks, coming from multiple sponsors, with varying frequencies and updates needed. Programmers need a way to keep these tasks organized and to optimize the work flow.