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.
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.
Economic Impact of Representativeness in Clinical Trials: How Real-World Data Can Help
This panel of real-world evidence (RWE) experts explore the economic impact and role of RWE in improving representativeness of research.
Health Economic and Outcome Research (HEOR) for Medical Technologies for the US Healthcare Systems
Deepak Sahu, MBA, explains how HEOR studies are important for generating useful effectiveness data for success of medical technologies.
Designing Causal Inference Studies Using Real-World Data
In this webinar, experts provide an overview of causal inference, along with step-by-step guidance to designing these studies using real-world healthcare data.
Streamlining Health Technology Assessments by Automating Literature Reviews
Experts provide a deep dive into what Health Technology Assessment (HTA) agencies do and the types of literature reviews they do.
Achieving Consensus When Everyone is an Expert, but No One Agrees
Watch experts from PHAR, Novartis, and Bausch Health discuss the Delphi panels and how the results are used.
Making HEOR More Accessible to Patients
Watch this panel discussion to hear experts from patient advocacy, health literacy, and Health Economics and Outcomes Research (HEOR).
Optimize Your Value Story Through Integrated Evidence Generation – From Bench to Patient
A panel of experts discuss evidence generation planning to optimize clinical and commercial success and improve patient outcomes.
Using Real-World Data to Explore and Demonstrate Comparative Effectiveness
Dr. Jessica Paulus explores opportunities and challenges with using RWD in conducting comparative effectiveness research.
Understanding Health Care Decision Maker Preferences for Optimized Engagement
Hear market research and payer experts explain the best practices and preferences of healthcare decision-makers.
Data Integrity in Decentralized Clinical Trials (DCTs)
Experts expand on the need for a comprehensive understanding of all sources of data in DCTs, and the need to evaluate those data centrally in real time to mitigate the risks associated with their capture (including data capture at the edge of the network (wearables)).
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.
Optimizing Real-World Evidence for Maternal and Neonatal Outcomes
Experts from health system innovators (C-Path), patients (PreemieWorld), healthcare payers (HealthCore/Anthem), and industry (Bayer) provide insights into improving neonatal outcomes using RWE.
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.
