Now, let’s move to our last question and topic, transforming the expanding uses of study data management. DCTs have liberated data generation throughout a distributed and disparate ecosystem. This creates new challenges for data aggregation, harmonization, and integration. At the same time, we’re all under pressure to speed better medical treatments to market. This is achieved through improvement in quality, time, and cost. For example, we can add a new data stream, like medical claims data, and improve outcomes specificity, but not at the expense of significant added cost. We need tools that meet the challenges of DCT, that can interoperate all these data flows – and proactively raise or eliminate issues early in the study.
Data interoperability is a critical, table-stakes capability for conducting good DCTs. That means using data from all parts of the study – in real-time – to glean 360⁰ views of the Patient. In 2021, we saw data management transform itself into data science. If data is the life blood of a clinical trial, then data interoperability is the pulse that brings that science to life. Adaptive Clinical Systems has launched Adaptive DataVIEW to better enable data visualization for study management.