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.
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.
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.
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
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.
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.
Informing Market Access Earlier in Clinical Development: Prospective RWE Research to Characterize Real World Patient Populations
Join Renee Willmon, MSc as she demonstrates Health Storylines as a disease-agnostic and customizable platform that connects healthcare stakeholders to engaged patients.
FDA Guidance Documents: Shaping the Future of RWD Curation and RWE Innovation
IQVIA’s Mui Van Zandt, BMIS and Raina Olexa, MS lead a conversation on embracing FDA’s guidance on the use of RWD, and how your organization can navigate data quality, curation, and management challenges for better research.
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.
Cracking the Code: When and How to Validate ICD Algorithms for RWE
Experts from SickKids, Genentech, Penn Medicine, and PHAR deliver a high level overview on validation of code algorithms for Real World Evidence (RWE)
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.
Cutting Edge Conversations 2022
The Cutting Edge Conversations series offers a deep dive into specific research areas and focused insights regarding market-relevant processes from respected firms in the industry.
Cutting Edge Conversations: Addressing COVID-19 During Uncertainty
Hayley Crawford, PhD, and Carl Marci, MD, discuss how their specific industries have developed new innovations in response to the COVID-19 pandemic.
Cutting Edge Conversations: Fighting Neurodegenerative Diseases
Evelyn Pyper, MPH, discusses how a patient-centered approach to real-world data collection and evidence generation can transform research in neurodegeneration.
