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As the demands on real-world data teams continue to grow, with more data sources, more stakeholders, and more pressure to deliver trusted evidence faster, the...
- Blogs
Health economics and outcomes research (HEOR), epidemiology, and real-world evidence (RWE) teams are under growing pressure to deliver meaningful insights faster than ever before. As...
- Blogs
Learn what organizations must do to balance speed, transparency, governance, and innovation in an increasingly data-driven and AI-reliant environment.
- Blogs
By Stacy Justo, Meghana Shamsunder, and Marten van den Berg
- Blogs
As regulators around the world grow more comfortable with real-world data (RWD) and AI-enabled evidence generation, pharma companies are rethinking how, and when, they build...
- Blogs
As real-world data (RWD) becomes more central to healthcare decision making, evidence generation is playing an increasingly important role, from early identification to treatment optimization...
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Embed validated patient phenotype definitions directly into your workflow for faster insights
Open vs. Closed Claims: Unlocking Opportunities for Healthcare Analytics
In the complex healthcare analytics landscape, understanding the nuances of open and closed claims is critical for researchers and analysts. Open and closed claims each
How Machine Learning Strengthens Real-World Data and Disease Identification: 5 Use Cases in 5 Minutes
Machine learning is a powerful tool in the life sciences industry, making evidence generation more efficient and precise and bolstering real-world data (RWD) to identify
What’s next for the life sciences industry? Four trends to watch in 2024
2023 was an eventful year for the life sciences industry, with the Inflation Reduction Act (IRA) and game-changing technology like ChatGPT dominating the headlines. Will
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