Clinical trial performance metrics help study teams understand whether trial activities are running as intended and where follow-up may be needed. This video explains how to choose useful metrics, how KPIs differ from general measures, and why definitions, ownership, timing, and context all affect how results should be interpreted.
WHAT THIS VIDEO COVERS
• The difference between a metric and a key performance indicator
• Why measuring too much can weaken oversight
• How to define ownership, targets, reporting frequency, and calculation methods
• The difference between leading and lagging indicators
• How relevant metrics can change from study start-up through closeout
• Why query counts, dashboard flags, and other results need context before action is taken
Well-chosen metrics can help teams identify issues earlier and focus attention on processes that can actually be improved. They can also support more useful post-study review by showing whether a delay was isolated or part of a recurring pattern.
Quanticate's services range from statistical programming, biostatistical consulting, clinical data management, medical writing and pharmacovigilance. Within all our contracts and as part of our Coded to Care OATH, performance metrics are clearly defined and agreed with our clients to ensure high quality is delivered and client expectations are met. Please request a consultation if you would like to speak to a member of our team who can support your trial.