Clinical Supply Management Articles

  1. Could Smarter Use of Clinical Supply Data Help Avoid Certain Protocol Amendments? 9/3/2026

    Clinical supply data reveals where protocol assumptions break down. Could those lessons help improve protocol design and reduce avoidable amendments?

  2. AI Is Only As Good As The Data Behind Your Clinical Trial Supply Chain 9/2/2026

    AI cannot fix bad clinical supply data. Disconnected systems, conflicting inventory and manual workarounds can turn smart forecasting into costly mistakes.

  3. Five Places Where AI Stalls In Clinical Supply 9/1/2026

    AI may be ready for clinical supply, but the systems behind it are not. Five barriers show why better models alone will not fix forecasting or waste.

  4. More Than Half The Drug We Make Never Reaches A Patient 8/31/2026

    More than half the drug made for clinical trials may never reach a patient. Here’s where supply planning goes wrong, and where AI can actually help.

  5. Lessons In Forecasting Discipline From A $40B Supply Chain 8/31/2026

    Forecasting errors rarely start with the algorithm. They start when protocol changes, enrollment and site data reach the supply plan too late to prevent waste and disruption.

  6. Clinical Supply When There's No Drug To Ship 8/28/2026

    When a clinical trial has no drug to ship, what becomes supply? Non-pharmacological trials still require sourcing, tracking, qualification, and control.

  7. Why Clinical Supply Problems Rarely Start In Clinical Supply 8/27/2026

    Clinical supply failures often start long before a stockout, when CMC, quality, regulatory, and clinical decisions create risks that supply teams inherit too late.

  8. The Last Mile Nobody Talks About: What Really Happens To Unused Clinical Trial Supplies 8/26/2026

    Unused clinical trial supplies present complex logistical and compliance challenges. Learn why returns, reconciliation, and forecasting matter after a study ends.

  9. AI In Clinical Supply: From Forecasting To Execution Decisions 8/25/2026

    AI could shift clinical supply from periodic forecasting to continuous decisions, linking live signals with execution while protecting quality and patient continuity now.

  10. Accountability Gaps Can Break Clinical Supply Contracts 8/24/2026

    Contract gaps can create clinical supply failures when responsibilities differ across agreements. See how aligning obligations can prevent costly disputes, delays, and risks.