Smarter Strategies for Using Real-World Data | How to Choose RWD That Drives Confident Decisions

Описание: 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

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Inovalon
Healthcare Empowered™
https://www.inovalon.com

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