Flatiron Health Announces Research to Be Presented at ISPOR 2025
- Flatiron’s research at this year’s conference highlights the ability of scalable, high-quality real-world oncology data and novel rigorous approaches for health outcomes research to support both research and regulatory use cases.
“At this year’s ISPOR, Flatiron scientists are using high-quality real-world data to validate novel methodologies that will shape the future of evidence generation and health outcomes research in oncology,” said
Highlights include:
- a poster presentation validating the use of ML to extract real-world response from unstructured data in the electronic health records (EHR), offering a scalable and efficient method for generating high-quality oncology real-world data
-
a poster presentation highlighting the acceptance of real-world evidence by the
US Food and Drug Administration and theEuropean Medicines Agency , underscoring its potential to complement traditional clinical trial data -
a poster presentation introducing the Flatiron Health Japan Breast Cancer dataset, a novel, de-identified real-world database derived from structured and unstructured data collected from routine oncology care and stored within EHR systems in
Japan
Schedule a meeting with
Follow
Poster Discussions and Presentations
Leveraging Machine Learning to Assess the
Qianyu Yuan, Aaron Dolor,
Poster Session 1
Poster Code: MSR24
Using Regression Discontinuity in Time Design for Real-World Comparative Effectiveness: A Case Study for the Second-Line Use of Pembrolizumab in Advanced Non-Small Cell
Author Affiliations:
Poster Session 3
Poster Code: MSR87
Performance Assessment and Validation of Real-World Response Data Generated Using a Deep Learning-Based Natural Language Processing Model Across Multiple Solid Tumors
Poster Session 5
Poster Code: MSR142
From Data to Decisions: The Role of Real-World Evidence in Recent Multiple Myeloma Drug Approvals in the US and EU
Poster Session 5
Poster Code: HPR136
Advancing Breast Cancer Research in
Poster Session 5
Poster Code: RWD143
Patient Characteristics and Treatment Patterns in Extensive-Stage Small Cell
Author Affiliations:
Poster Session 5
Poster Code: HSD69
Augmenting Race and Ethnicity in a Real-World Oncology Cohort Using the Bayesian Improved Surname Geocoding Methodology
Poster Session 5
Poster Code: MSR136
Analytical Approaches to Estimate Medication Persistence From Electronic Health Record Data: A Study of Tyrosine Kinase Inhibitors in Patients With Epidermal Growth Factor Receptor–Positive Advanced Non–Small Cell
Poster Session 5
Poster Code: MSR157
About Flatiron
View source version on businesswire.com: https://www.businesswire.com/news/home/20250429420465/en/
press@flatiron.com
Source: