Leverage data analytics, AI-ML and deep learning techniques to effectively analyze clinical and operational data, responses to drugs, etc. Leverage predictive modeling to determine site and study performance, patient response to drugs, patient continuation in the clinical trial and whether the trial will be successful. Use the insights to design your clinical trials appropriately.

Consistently and effectively monitor the performance and quality parameters of multiple vendors (CROs), diverse clinical trial sites, the study and portfolio. Identify critical data and processes to remotely/centrally monitor risks and proactively identify and mitigate inefficient site behavior and processes. Effectively monitor patient and study safety, ensure early detection of issues and save resources. Ensure better compliance.

Effectively analyze information that arises from one or multiple sources using Fresh Gravity’s data science and analytics solutions. Accurately identify signals – patterns that suggests a new potentially causal association or a new aspect of a known association between an intervention and related events, either adverse or beneficial – that are judged to be of sufficient likelihood to justify further verification.

Leverage AI, ML and deep learning techniques to gain actionable insights on patient experiences with the treatment/ drug/ therapy and outcomes. Use these insights to take effective decisions to further enhance patient engagement, craft frictionless experiences and drive better patient retention. Improve your clinical research outcomes and business value.

Leverage our AI-ML solutions to effectively analyze operational and sales data arising from the chargeback processes to ensure timely and prompt detection of any gaps, loopholes and opportunities for bad transactions or frauds. Accordingly, prevent chances of revenue leakages from such transactions.