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This year, PROMETRIKA team members have attended many industry conferences in which the hot topics always seem to be AI and automation of processes. Of course, the innovation cool crowd is excited to jump on board. What has really piqued my attention are the discussions amongst technology vendors about automating SDTM mapping. PROMETRIKA, as a full-service CRO, has a strong focus on biostatistics, statistical, and SDTM programming. Since SDTM mapping is a major part of the programming work that we do, I asked myself “Do we need a new business model for automating SDTM programming?” After hearing multiple viewpoints on the subject, I’ve come away with a list of pros and cons of automating SDTM mapping.
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I had the opportunity to attend the 2023 PHUSE conference and explore the latest advancements in clinical data analysis through engaging workshops and presentations. Key topics included CDISC Analysis Results Standards, SDTM mapping recommendation engines, incremental automation using machine learning, and Leadership and professional development. The conference provided valuable insights into emerging trends and technologies that are shaping the future of clinical research.