Partnering with Disease Registries: The Value and Impact for Real-World Evidence Generation
In this webinar, Evidera experts present guidance on why strong connections with registry groups and stakeholder populations are important for generating relevant real-world evidence to advance treatments.
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.
Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials
Watch a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.
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.
Medicare Part D: Price Negotiation Panel Discussion
Hear expert panelists bring their perspectives on critical issues around support for Medicare Part D products' fair market prices.
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.
Stay Ahead of the Game: Learn How to Conduct an Evidence-Based GVD Faster and Smarter to Improve Market Access
Hear several experts address systematic literature review issues that can negatively affect your Global Value Dossiers (GVDs) and how automation can improve your product's market access.
Streamlining Health Technology Assessments by Automating Literature Reviews
Experts answer top questions from a recent webinar, "Streamlining Health Technology Assessments by Automating Literature Reviews."
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.
Achieving Consensus When Everyone is an Expert, but No One Agrees
Experts from PHAR, Novartis, and Bausch Health answer top questions from their recent webinar, "Achieving Consensus When Everyone is an Expert, but No One Agrees" focused on Delphi panels.
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.
Social Media Data: Opportunities and Insights for Clinical Research
Hear four experts from ICON and Kap Code provide insights on how to collect, use, analyze, and interpret social media data in different contexts. These experts share knowledge from over fifteen years of successfully developing and adapting algorithms to treat this kind of data.
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.
Accelerating the Generation of Payer Insights and Evidence Across the Product Lifecycle to Achieve Optimal Access
Experts present opportunities for using agile platforms and fit-for-purpose engagement models that can drive an iterative approach to obtaining payer insights and developing impactful evidence generation strategies.
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).
An Introduction to Infectious Disease Modeling
Hear ICON experts give an in-depth overview of infectious disease modeling with a focus on assessment of interventions and its challenges.
Syapse Real-World Dialogue: Advancing Patient Care through Real-World Data, Machine Learning, and Systems Biology
Join Drs. Nitin Baliga and Thomas Brown for an in-depth discussion on utilizing real-world data, machine learning, and systems biology for benefiting therapeutic development.
Evidence Synthesis for Sparse Evidence Base, Heterogeneous Studies, and Disconnected Networks
Experts answer top questions from their recent webinar, "Evidence Synthesis for Sparse Evidence Base, Heterogeneous Studies, and Disconnected Networks".
Understanding Health Care Decision Maker Preferences for Optimized Engagement
Market research and payer experts provide answers on best practices and preferences for information sharing with healthcare decision-makers.
Evidence Synthesis for Sparse Evidence Base, Heterogeneous Studies, and Disconnected Networks
Standard models in evidence synthesis work well in settings characterized by a large evidence base, the absence of effect modifiers, and connected networks. Handling sparse data, substantial between-study heterogeneity and disconnected studies, however, poses challenges to researchers and requires advanced methodology.
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.
Real-World Data for Mental Health – Understanding Outcomes and Unlocking Pathways to More Precise Treatments
Real-World Data for Mental Health – Understanding Outcomes and Unlocking Pathways to More Precise Treatments OM1 was [...]
