By Christina Dinger, Senior Director of Product, ThoughtSphere
As the life sciences industry strives to reduce costs, save time, and achieve high-quality results, it often overlooks the crucial task of clearly defining the ultimate deliverable before starting a study. Consequently, the journey begins with inadequately calibrated tools and risk controls, introducing uncertainty to the reliability of trial outcomes.
However, teams can narrow down the target area by strategically aligning a clinical trial's goals with statistical analysis and continuously adjusting its approach throughout ongoing research efforts. Even if the bull's eye isn't hit perfectly, the process instills confidence and increases the trial results' accuracy.
From an analogy using Google Maps to biostatistician involvement, datasets, tabulations, and more, learn what this author has to say about focusing on a study's outcome when developing Risk-Based Quality Management strategies.