Call center event detection
The platform can automatically triage a large volume calls by converting speech to text and alerting the companies about customers/patients who may not be taking the medications correctly or who have a reaction to the medication. The entire process is automated and uses machine learning algorithms to make the right determination.
Predictive protocol authoring
Our platform reimagines the way clinical trials are designed and authored. By taking the best insights from previous protocols and providing them to the trial designers, they can do their best work. We’ve streamlined the process: With an intuitive interface, collaborative designing and authoring, access to relevant historical insights and drag-and-drop tools we’ve given users “superpowers” thanks to intelligent automation.
Appeals and grievances
Our platform’s machine learning capabilities can help customers and insurance companies resolve the appeals process faster by surfacing facts about what is covered across the mountains of documentation. This reduces the time and cost to resolution and makes for a much happier customer experience.
Our platform speeds up the process of collecting, ingesting, logging and processing adverse events at pharmaceutical companies. It also categorizes data, drugs and side effects encountered with levels of importance and alerts doctors and case processors when a case is severe. If a case is not severe, it automatically gets processed, saving the case processors a lot of time.
Clinical data flow
Our platform has reimagined how data standards are managed and how clinical data flows are used for conducting clinical trials. We have automated data transformation and creation of target schemas using a combination of intelligent rules, ML models and ETL scripts. This can significantly reduce the time and cost required for a study startup and streamlines data processing.