In order to develop and execute a successful clinical strategy, trial sponsors must be able to acquire faster, more detailed data insights. To achieve new drug approval, trials must collect, combine, and analyze diverse data sets that support operational, safety review, risk management, and other analyses that are crucial to drug development. Data aggregation, automation, and visualization not only accelerate trial data analysis, but illuminate insights that are hidden by traditional data review processes.
Integrating more data sources may provide even greater insights, such as combining efficacy data with pharmacokinetic and image information, as well as with potential stratifying information such as demographic, laboratory, and genomic data. This allows clinical study teams to understand therapeutic dose selection more fully, as well as mechanism of action and target availability, to drive program strategy and decision making.
At its core, the value of aggregating distinct data sources in a time-relevant manner is in enabling more streamlined clinical development and better safeguarding of patients. PerkinElmer Informatics’ customizable clinical analytics solution empowers sponsors to accomplish these goals by affording users accelerated access to the clinical trial data they need to make swift, well-informed decisions. PerkinElmer Informatics’ Clinical Solutions represent an integral tool in helping biopharma companies and trial sponsors tackle data quality and collaboration challenges and enable more efficient, better managed studies.