Powered by machine learning, Medical users can use collaborative review features like peer review on collaboration canvas. User can generate custom patient profiles including relevant non-clinical information such as subject specific protocol deviations. Additional risks specific to therapeutic area and the study can be configured in the central risk engine bringing in advanced features of risk management portal to conventional medical monitoring. Observe and track outliers, trends, adverse events of special interests, auto-classified CTCAE grading for laboratory abnormalities help perform holistic safety management.
Real-time complete data source integration assures medical team access to current, updated protocol deviations, SDV and query progress. User definable dashboard and "set alert" functions assure optimum awareness of clinical issues as they develop