Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning

ConclusionThe model has been deployed to evaluate safety reporting performance in a set of ongoing studies in the form of a QA/dashboard cockpit available to Roche Quality Program Leads. Applicability and production performance will be assessed over the next 12 –24 months in which we will develop a validation strategy to fully integrate our model into Roche QA processes.
Source: Drug Safety - Category: Drugs & Pharmacology Source Type: research