Deoyin PX Insights highlight small, actionable ideas around PK/PD automation, CDISC workflows, HEOR/ICER modeling, and AI-assisted reporting-built for busy biometrics and clinical teams.
Many teams rebuild PK tables from scratch for every study. This note walks through how to standardize column structures, units, and QC checks so the same script can serve an entire portfolio.
Instead of one-off programs, think in terms of parameterized TLF “patterns” that map to ADaM structures. This mindset reduces validation burden and keeps outputs consistent across trials.
A common failure mode is divergence between an Excel model and the R implementation. Here’s how to structure shared inputs, transformations, and QC so both views remain aligned.
Most clinical teams still paste tables and figures into Word. With templated doc generation, one script can populate multiple sections, update iteratively, and preserve formatting.
AI is powerful for summarization and drafting, but the analytical backbone must remain deterministic and auditable. This note sketches a safe division of labour between code and AI.
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