Researchers and scientists find analyzing data of clinical trials as a difficult task. To ease their burden, PerkinElmer company has launched a Clinical Data Review analytical solution.
The analytical solution helps people who analyze large amounts of clinical data like medical monitors, safety review teams, biostatisticians, data managers, pharmacologists etc. It offers an easier way to analyze data by enhancing clinical data management, medical review workflows and to make informed decisions on the safety and efficacy of therapeutics.
‘PerkinElmer’s Clinical Data Review analytical solution helps pharmacologists, biostatisticians and data managers to analyze clinical data easily.’
"Our Clinical Data Review solution speeds up the clinical data review process, automatically combining data to allow development team members to interactively explore information and discover new relationships. With the ability to quickly visualize and analyze data, team members can optimize the clinical trial process, focusing their efforts on obtaining insights and answers for bringing drugs and devices to market faster," said Karen Madden, President, Informatics at PerkinElmer.
The Clinical Data Review solution allows dimension-free exploratory analysis on data such as adverse events, labs, concomitant medications, medical history and vital signs. Population, sub-population and patient-level data is brought together and reviewed at the presentation layer.
Contextual collaboration enables clinicians and data management to quickly identify data quality issues and perform adaptive monitoring. Customers can combine data from various clinical data sources without scripting or IT involvement.