Over the last two decades, clinical trials have increased in complexity by approximately 61%. Additionally, data volume has grown to be too complex and resource consuming to be processed manually. As a result, patient data is dispersed over so many various systems, that it’s impossible to get a clear picture of the patient, making it difficult to understand how they’re responding to treatment – thereby impeding a patient’s time to recovery.