06/05/2026
GenAI is compressing RWE study cycles by 30 to 40 percent. Let that sink in. I just watched a team spend six months structuring claims data that GenAI could have cleaned in weeks. They weren't behind on tools. They were behind in how they thought about the work.
The infrastructure exists now. In 2026, 90 percent of health systems are on electronic records. Wearable devices, pharmacy claims, patient histories. The data pipeline is real. What's lagging is the decision to actually use it.
GenAI handles the heavy lifting: structuring messy unstructured data, automating study reports, detecting safety signals from free text sources. It surfaces patient-level insights that manual workflows miss. But only if you feed it clean data and clear protocols.
The teams moving fastest aren't the ones with the fanciest models. They're the ones who stopped waiting for perfect data and started building repeatable, decision-ready evidence with the data they have today. What's your RWE cycle time looking like right now?
Learn how real-world evidence (RWE) in pharma improves clinical practice. Real-world data (RWD) supports drug development, enhances clinical trial design, and translates data and evidence into improved patient outcomes.