Real-World Data Quality Framework for Oncology Time to Treatment Discontinuation Use Case:
Implementation and Evaluation Study.
Real-World Data & Analytics
Real-World Data (RWD) is reshaping the future of healthcare. At Polygon Health Analytics, we help life sciences companies and healthcare organizations turn everyday health data into strategic advantage.
RWD includes data from electronic health records (EHRs), insurance claims, patient registries, and even wearable devices - giving you visibility into how treatments work in real life, not just in trials. This data in turn, support drug discovery and development.
Why Real-World Data Matters
Unlike clinical trial data, RWD reflects real patient populations, outcomes over time, and treatment performance in diverse care settings. It enables you to:
- Understand long-term safety and effectiveness
- Support value-based care and reimbursement strategies
- Identify unmet medical needs and new development opportunities
- Support drug discovery and development through new biological mechanism discovery, trial planning and feasibility analysis
- Generate real-world evidence for payers, providers and patients
Our Capabilities in RWD
We offer full-service support across the real-world data lifecycle:
-
Data Source Identification & Validation
We help you find the right data to fit your research purpose - from EHRs to global registries - and assess its quality and relevance to your study goals. -
Methodology Development & Data Analysis
Our expert team applies tailored statistical models to ensure scientific rigor and actionable insights. - Visualization, Reporting & Scientific Publications From real-time dashboards to peer-reviewed papers, we help you share results that drive impact.
Use Real-World Data to Drive Smarter Decisions
Whether you're planning a post-marketing study or looking to support HEOR initiatives, our team brings deep domain expertise, academic rigor, and hands-on experience across industries.
Our Selected Publications & Presentations
HPV vaccine initiation at 9 or 10 years of age and better series completion by age 13 among
privately and publicly insured children in the US.
Impact of the COVID-19 pandemic on pediatric and adolescent vaccinations and
well child visits in the United States: A database analysis.
Towards quality improvement of vaccine concept mappings in the OMOP vocabulary
with a semi-automated method.
Insights and updates on RWD
Biology Has No Compiler: Why AI Hasn't Bent Eroom's Law (Yet)
AI-driven drug discovery is experiencing a fascinating paradox. On one hand, Isomorphic Labs, the AI drug discovery company spun out of Alphabet and led by Nobel...
Read more
AI Credibility Is an Evidence Problem. FDA Just Reorganized Around It.
On October 1, FDA's Center for Drug Evaluation and Research (CDER) began operating a new Office of Innovation and Clinical Trial Modernization (OICTM) within...
Read more
What Robotics Can Teach Us About the Data AI Needs for Life Sciences
Large language models have benefited from enormous collections of existing internet content. Robotics faces a different challenge: much of the information a machine needs to learn...
Read more
