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Real-world data (RWD) powers modern clinical, regulatory, and commercial strategy, but access alone isn’t enough. Without a clear framework for how to evaluate and apply it, teams risk wasted time, misalignment, and low-confidence decisions. In this Empower on-demand webinar, industry experts share practical strategies for choosing and using real-world data with purpose. The discussion focuses on how to select datasets that align clinical objectives, regulatory requirements, and commercial goals—so RWD actually delivers results. For more Empower On Demand, visit https://ow.ly/HtIa50Y4uwO Chapters 00:00 – Why Real-World Data Needs a Strategy Why more data doesn’t automatically lead to better decisions 00:36 – Meet the Panel Introductions: Inovalon, Medtronic, and Snowflake perspectives 01:51 – How Real-World Data Has Evolved From paper records to EHRs, claims, labs, and wearables 03:34 – The Data Explosion: Opportunity and Risk Why more data creates new complexity and new responsibility 05:21 – Start With the Question, Not the Dataset Why “fit for purpose” starts with the problem you’re solving 07:36 – Technology’s Role in Connecting Disparate Data How modern platforms enable speed, scale, and integration 09:14 – What Does “Regulatory-Grade Data” Really Mean? Separating marketing language from practical reality 11:49 – Where AI Actually Helps (and Where It Doesn’t) Using AI for data preparation, discovery, and insight, not hype 13:20 – Speed to Insight: AI’s Biggest Advantage How teams move from weeks to minutes without sacrificing rigor 16:16 – How AI Can Improve Clinical Trial Outcomes Using RWD to reduce missed signals and failed endpoints 18:04 – Does AI Change Your Data Strategy? Planning architecture before chasing tools 20:11 – How to Evaluate Real-World Data Vendors Avoiding duplicate data and understanding what you’re buying 22:24 – Clean Rooms and Secure Data Collaboration How partners assess overlap without exposing sensitive data 26:52 – Common Pitfalls in RWD Strategy Measurement errors, data silos, and misaligned assumptions 29:36 – Avoiding Redundant and Low-Quality Data Why “more” can sometimes mean “worse” 32:38 – What’s Making Leaders Optimistic About RWD Where the industry is heading and why it matters 35:09 – Why Data Participation Is Critical How shared data enables better research and care 35:36 – Audience Q&A: Cloud Platforms & AI Readiness Comparing cloud strategies, governance, and scalability 38:22 – The Value of Unstructured Data Clinical notes, NLP, and insights claims can’t provide 40:52 – AI, Security, and Compliance Concerns How AI can strengthen - not weaken - data protection 44:14 – Closing Thoughts & Key Takeaways Final reflections and next steps --- Connect with us on social media Linkedin: / inovalon Facebook: / inovalon X: / inovaloninc Instagram: / inovaloninc Bsky: https://bsky.app/profile/inovalon.bsk... --- Inovalon Healthcare Empowered™ https://www.inovalon.com #Inovalon #realworlddata #realworldevidence #commercialinsights