Using AI to tackle Clinical Data Management challenges

▤ Summary

Sure, AI is already impacting us in various walks of life from online ads to streaming services to smart cars but what about business? Challenges in patient recruitment, medication adherence, population health management, risk monitoring, data collection and aggregation for clinical trials are well documented. To ensure efficient operations one must focus on the critical parameters of a clinical trial, which are It all boils down to one crucial aspect, quick access to relevant information. Currently, trial managers have to sift through tonnes of recorded information which requires a lot of time and patience. As a consequence, many of them miss crucial red flags leading to delays and in many cases, failure of the study itself.

▦ Linked Companies

Maxis AI

$10M to $25M