Podcast Q&A: Clinical Outcome Assessment (COA) Translations
In this episode of tHEORetically Speaking, join Christelle Giroudet, MA and Ana Alvarez, MA, COA Linguistic Validation Leaders with ICON, as they highlight the importance of Linguistic Validation and how equivalence should be a key focus during the development of Clinical Outcome Assessment translations.
Minimizing the Impact of Cross-Cultural Differences in COA Translations
ICON's COA Linguistic Validation Leaders highlight the importance of Linguistic Validation and how equivalence should be a key focus during the development of Clinical Outcome Assessment translations.
How Cerner Enviza Uses Clinical Data to Drive RWE Decisions
Experts from Cerner Enviza provide a high level overview on utilizing Electronic Health Record (EHR) data to support Real World Evidence (RWE) studies.
How Literature Review Automation and Efficient Processes Streamline RWE HEOR Studies
Literature reviews are an essential element in Real World Evidence (RWE) HEOR studies that impact patient care, policy development, and healthcare decision making.
What Every Researcher Needs to Know About Using Medicare Data for Real World Evidence
Join three panelists who provide a practical overview of how and why to use data from Medicare for real world studies.
Finding Value in Linking Real-World Data with Social Determinants of Health
Hear Pamela Landsman-Blumberg and Rick Chapman highlight the importance of SDOH and discuss examples of how claims data and EMR linked with SDOH can inform use cases.