Healthcare innovation is reliant on access to massive amounts of well-curated, multimodal data and an infrastructure to manage complex workflows and secure collaboration—all while maintaining data quality, privacy and compliance. This can be particularly challenging for life sciences organizations (LSOs) that are trying to accelerate drug discovery at scale with limited access to real-world clinical data. 

These headwinds contribute to the long timeline and high cost of drug development. However, emerging platforms that automate data curation and improve access to data are poised to streamline these challenging processes.