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By Chao Li, PhD, Data Scientist at AbbVie, and Mike Munsell, Director of Research at Panalgo
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With more than 1,600 employees across the globe, the new organization is now one of the world’s largest pharma intelligence solutions providers on the market
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By Meg Richards
Faster Evidence, Fewer Bottlenecks: How IHD Is Redefining What’s Possible in Evidence Generation
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 tools supporting that work need to evolve just as quickly.
Accelerating HEOR and Real-World Evidence: How IHD Helps Researchers Turn Evidence Into Impact
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 healthcare stakeholders demand stronger evidence of clinical, economic, and humanistic value across the product life cycle, researchers need more than data—they need the right combination of technology, expertise, and fit-for-purpose evidence sources to turn research into impact.
How Pharma Leaders Are Rethinking Evidence Generation in the AI Era
Learn what organizations must do to balance speed, transparency, governance, and innovation in an increasingly data-driven and AI-reliant environment.
Where Treatment Slows in Metastatic NSCLC: A Real-World Data Analysis of Care Delays and Access Barriers
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 evidence.
Pharma’s New Regulatory Reality: Building Evidence for Launch and Beyond
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 evidence.
Smarter Data, Better Outcomes: How Real-World Data Is Transforming Evidence Generation Across the Product Lifecycle
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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