In today’s research environment, the employment of high quality methods for retrospective database research has never been more relevant. Database publications continue to significantly increase over time for both claims database and electronic medical record (EMR) database studies, and initiatives such as the Observational Medical Outcomes Partnership (OMOP) and Mini-Sentinel as well as large safety-based studies in the U.S. and Europe have focused their efforts in the area of epidemiological and safety-based research. This webinar will focus on how the identification and development of validated coding algorithms are used in defining study cohorts, health outcomes of interest, as well as patient comorbidities, and the opportunities and challenges of using these algorithms in database research.
Who Should Attend
Managers, Directors and others in the pharmaceutical industry in the areas of:
- Data Generation/ Data Analysis
- Health Economics/Outcomes Research
- Pharmacovigilance / Drug Safety
- Real World Evidence Generation
- Managed Markets
Key Learning Objectives
- Determining the optimal approach for conducting high quality database research
- Understanding the value of validated coding algorithms in database research
- Using information about the positive predictive value, sensitivity, and specificity of various coding algorithms to help to drive the decisions about how best to define the clinical events of interest in each database study
- Learning how best to build a defensible coding algorithm when no validated published algorithms currently exist.
Matthew W. Reynolds, PhD, Vice President of Evidera’s Epidemiology and Database Analytics, Evidera