Database Analytics Automation

 

Database Analytics Automation

Drug safety surveillance with observational data will be enhanced with the more detailed and complete ICD-10 disease and procedure codes. This presentation reviews the changes and provides examples.
This webinar provides healthcare researchers with the history of ICD-10 codes prior to the US adoption, as well as describing the enhancements in the coding system and how researchers must adopt certain algorithms before including in their study design.
Analysis of real-world data has become increasingly important. Regulators and payers demand real-world evidence, while comparative effectiveness research and risk/benefit analyses are becoming an integral part of evidence strategy.
This presentation describes the use of real-world evidence to evaluate the inclusion and exclusion criteria in clinical trial protocols to determine if patients really do exist in physician offices and health care settings.
This poster describes a study that evaluates the use of administrative databases in detecting ADR signals for active surveillance. The authors investigated 55 drug-event pairs, for the years 2008-2012.
This poster describes the use of Pharmacy Claims Data as an Early Indicator of Potential Bioequivalence Issues for Newly Launched Generic Medications.
This study shows how Common Data Models can rapidly and efficiently estimate how well disparate sources reflect “known” population characteristics, utilizing standardized patient selection, analyses.
Common Data Models provide an efficient way of enabling meaningful comparisons across disparate data sources. Differences in results are likely due to differences in underlying populations, data capture process, and/or functional ability and/or incentive to record complete...
The addition of Premier healthcare alliance hospitalization data to the OMOP CDM can further inform evidence-based decisions related to the safety and efficacy of drugs and diseases occurring in a hospital setting. However, mapping the Premier hospitalization data into the...
Designed especially for drug safety scientists and epidemiologists, the software’s analytical modules assist in clinical evaluation of at-risk and signal interpretation, allowing sponsors to rapidly respond to regulatory inquiries regarding health outcomes in the context of real...
CLÆRITY can be used to tap publicly available data sources such as FAERS and Vigibase as well as a manufacturer’s internal adverse event data to provide a holistic solution for safety surveillance and signal detection. It also can be customized to a client’s workflow and process...
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...
CEWorks allows users to explore patterns of healthcare use and the associated costs in a user-defined cohort. Results provide information on the healthcare experience for a study population in defined timeframes. Healthcare researchers can rapidly query large, complex...
Database Analytics Automation | DAA | UBC
Proactively manage risks and uncertainties in signal detection, strengthening, and refinement.