Syapse experts Anna Berry, Mary Tran, and Michael Italia share how to establish high quality, real-world datasets by using a multi-source strategy.
A single source of data is often not enough to generate meaningful real-world evidence. Have you recently made an investment in a large raw real-world dataset, and are now drowning in data but lacking in evidence?
Watch as experts highlight strategic approaches you and your organization should consider as you invest in RWD to best capture the comprehensive patient journey needed to answer your most challenging questions, or seek to validate real-world endpoints.
Key Topics Include:
- Awareness on various RWD sources and their attributes, and how they are used to fill in the gaps to ensure your study design best reflects what is happening in the real-world
- Understanding whether artificial intelligence (AI) is a magical cure-all, or is it perpetuating inconsistencies or biases already in the data?
- How to take unstructured lab and pathology reports (including biomarker data) using NLP to ensure your study design best reflects what is happening in the real-world to generate more robust data
Presenters
Vice President
Molecular Pathology, Genomics and Laboratory Medicine
Syapse
Dr. Anna Berry is a thought leader in molecular oncology and personalized medicine, and experienced Scientific and Medical Director with a demonstrated history of working in the hospital & health care industry. Skilled in Oncology, Molecular Oncology, Molecular Biology, Healthcare Information Technology (HIT), and Healthcare Management.
Vice President
Data Insights
Syapse
Mary Tran is a healthcare strategist working to elevate the quality, delivery, and value of healthcare globally. She has diverse experience with change agents across the healthcare market, including clinical providers, system administrators, public officials, medical associations, payers, and industry (pharma, devices, and diagnostics).
Vice President
Product Development
Syapse
Michael Italia is focused on oncology precision medicine and real world evidence as VP of Product Development for Syapse. He leads teams to design and build complex, data-centric software applications in life science and healthcare.
Production Partner
Additional Content From Syapse
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.
Additional Content From HealthEconomics.Com
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.
Related Content
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.
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.