Now, more than ever, data is shaping healthcare. Whether targeting investigators for clinical trials or leveraging databases for postmarking surveillance, access to data is critical for successful product development and commercialization
Database Analytics Automation
U.S. healthcare providers are now required to use the ICD-10 version of the World Health Organization’s classification of diseases. The introduction of these disease and procedure codes creates significant analytic challenges for researchers performing longitudinal analyses with observational data that span the transition date of October 1, 2015.
How do you manage risks and uncertainties in signal detection, strengthening and refinement or determine the lag between start of exposure to a drug and the onset of an AE? SÆfetyWorks' analytical modules can help. Check out our latest video to learn more.
UBC experts will be available at the 31st International Conference on Pharmacoepidemiology & Therapeutic Risk Management (ICPE) to discuss our tailored real-world evidence generation solutions. Stop by exhibit #12.
Large, diverse U.S. and European healthcare data sources are increasingly popular, enabling an evidence-based approach to research, development, drug safety, and commercial strategy. However, healthcare data sources are inconsistent in content and format, making them difficult to analyze in a manner that is timely, cost-efficient, and valuable.
Stop by booth 1206/1208 at the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) 20th annual meeting May 16 – 20 in Philadelphia to meet our scientific staff. Members of our Value Demonstration and Database Analytics Automation teams will be available throughout the conference to meet customers and talk about our real-world evidence solutions.