Our Lessons Learned In Implementing AI In Clinical Development

At Taiho Oncology, we work with multiple CROs across our spectrum of clinical trials – a common scenario for many pharma companies. As a result, in 2019 we also had multiple sources of clinical data, including electronic data capture (EDC), clinical trial management system (CTMS), lab data, etc., that were siloed, difficult to access, and not being leveraged to their fullest potential. This scenario was unsustainable and suboptimal for our company, customers, and patients. Aggregating that complex and voluminous data into a single source of truth at the right frequency to better inform business decision-making and collaboration was a clear priority for us. We tried multiple single-point solutions, none of which yielded the results we required.