Timely data curation and enrichment are preconditions for delivering personalized solutions to meet patient demands and demonstrate the full value of their portfolios. Though the heavy lifting of performing these data processing functions is critical for life science organizations' success, it has not received adequate focus up until now.
Life science organizations need data-driven strategies to succeed in the competitive and dynamic business landscape. So, Real World Data (RWD) from traditional structured and unstructured sources such as claims and electronic health records and non-traditional sources such as sensors, wearables, and medical devices have assumed increased importance. Extracting value from these RWD sources enables Real World Evidence (RWE) that can support key decisions across product development, market access, and patient and provider engagement. Collectively these efforts optimize patient outcomes from therapy.
With the growing quantity and variety of RWD, the importance of curating and enriching this data continues to increase as well. To leverage expansive RWD, it must be comprehensive, complete, reliable, normalized, and accessible to key stakeholders within a life sciences organization.