DIA Global Annual Meeting 2019 recap by Data MATRIX

DIA Global Annual Meeting 2019 recap by Data MATRIX

The DIA Global Annual Meeting 2019 is the largest and longest-running event for all pharma and biotech life science professionals. We had our people on the floor attending sessions and workshops, collecting insights from CROs and pharmaceutical companies, and talking to other visitors about some of the great things we are working on, and soaking up all the information we could about what is most discussed at the moment, especially regarding the clinical trials data management solutions.

Within the agenda we primarily focused on the eClinical topics and new techniques in clinical research. Experts stated that the alliance of technology and science will definitely reshape the drug development process. There were  numerous sessions held on artificial intelligence, including challenges in adapting and advanced approaches in leveraging real-time access to clinical data and analytics. Quite a lot has been said about innovative emerging technologies for data collection from and about patients in clinical research (ePRO, BYOD, etc.), and when EDC is not enough for automating multi-country data collection and complex workflows. Attendees had a chance to see real case studies on cloud-based applications and AI-enabled data screening.

While talking to some of the CRO and pharma representatives Data MATRIX team members uncovered yet another batch of concerns and areas for improvement from eClinical users developed by other vendors. Priding ourselves on flexibility and customized approach we exercise when dealing with every client, these insights were essential for us and our team of developers. 

"DIA allowed me to meet a diverse group of experts with different professional background and become aware of the opportunities for further improving clinical data processing platforms. I am excited about all the insights that need to be addressed and implemented immediately.” — commented Ilya Rudianov, Business Development Director at Data MATRIX.