Early-Phase Lab Data: Why It Breaks And How To Prevent Risk

Spreadsheets and shared folders are reasonable first choices for early-phase lab data, built fast when a protocol is still evolving and momentum matters more than structure. But those temporary systems rarely get revisited, and the inconsistencies they accumulate, mismatched units, inconsistent identifiers, missing metadata, compound quietly until they surface during reconciliation, interim analysis, or safety review.

Drawing on firsthand work untangling multi-vendor Excel files full of manual edits, this piece traces how that drift happens, why the cost of fixing it rises the longer it's ignored, and what signals indicate a study has already crossed into risk. It also outlines the small, early structural decisions, naming conventions, a single source of truth, that let teams keep pace without losing traceability. Explore the article to learn more.