Healthcare data is growing at an incredible rate. With this proliferation in the volume and type of healthcare data – such as administrative claims, EHRs, wearables, registries, and clinical trial data – life sciences organizations have considerable opportunities to use data to support their marketing and business development strategies.

But more data doesn’t necessarily translate into improved business insights. Variations in data source, collection method, and database preparation can impact how a given data type can be used. 

Drawing on decades of experience helping pharmaceutical and device organizations develop business insights from a wide variety of healthcare data sources, IBM Watson experts will share a framework for understanding data types and database structures, and what this means for:

• Evaluating market size, share and segmentation for pharmaceutical and device products
• Informing facility targeting practices by assessing and forecasting sales potential at hospitals and ambulatory surgery centers
• Optimizing pharmaceutical and device supply chain strategies based on trends in demand