Real-World Data · Analytics & AI
Real-World Data Analytics and AI
Real-world data only becomes evidence when it is analyzed well. Analytics and AI are the engine that turns raw records into answers.
The tools and techniques doing this work are a central theme at RWE Connect 2026 in Boston.
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The definition
From Raw Data to Real Insight
Real-world data analytics is the craft of turning messy, real-world healthcare data into clear answers. It spans everything from simple descriptive statistics to advanced machine learning and AI.
It is the layer that sits between real-world data and real-world evidence: the data is the raw material, analytics is the process, and evidence is the result.
The toolkit
The Analytics Toolkit
Real-world data analytics draws on a spectrum of methods, from the classical to the cutting edge.
How it works
The Analytics Pipeline
Turning raw data into insight is a journey through a series of connected stages.
The AI edge
Where AI Adds Value
AI does not replace good analytics, but it extends what is possible, especially with the messy, unstructured data that fills real-world records. It is a major theme at RWE Connect 2026.
Getting it right
Keeping Analytics Trustworthy
Powerful methods are only useful if their results can be trusted. These are the principles of responsible real-world analytics.
The direction of travel
Where RWD Analytics Is Heading in 2026
The analytics frontier is moving fast, reshaped by generative AI, richer data and new ways of working. These are the shifts on the agenda at RWE Connect 2026.
Who is in the room
Who Attends RWE Connect 2026
A senior, focused audience of the people who build and apply real-world data analytics.
Seniority is confirmed: 150+ attendees, around 60% at Director or VP level and above. The functional mix shown is indicative; confirmed registration splits are shared with sponsors from the live delegate list.
Explore
Explore Related Topics
Analytics is the bridge between real-world data and real-world evidence.
Sponsor RWE Connect 2026
Meet the Data and AI Leaders in Boston
The teams building real-world data analytics gather at RWE Connect 2026: 150+ attendees, around 60% at Director or VP level and above.
RWE Connect 2026
Get the RWE Pipeline Report 2026
See the data and AI trends reshaping real-world evidence, then meet the people building them in Boston.
- How AI is changing analytics
- What keeps analytics trustworthy
- Where the frontier is heading in 2026
Free. Instant download. No obligation.
Real-World Data Analytics: Common Questions
What is real-world data analytics?
Real-world data analytics is the process of turning raw real-world data, such as EHRs, claims and registries, into evidence, using statistical, machine learning and AI methods to answer clinical, safety and value questions.
How is real-world data analyzed?
Through a pipeline that ingests and integrates data, cleans and standardizes it, structures and enriches it, then applies statistical and machine-learning models, with validation before results are used.
What is the role of AI in real-world data?
AI helps unlock unstructured data with natural language processing, identify patient phenotypes, predict risk, improve data quality and detect safety signals at scale and speed humans cannot match.
What is natural language processing in real-world data?
Natural language processing (NLP) extracts structured information from free text such as clinical notes, unlocking data that would otherwise be inaccessible to analysis.
What is phenotyping?
Phenotyping uses algorithms to identify patients with a specific condition or characteristic in real-world data, a foundational step for many analyses.
What is the difference between RWD analytics and RWE?
Real-world data analytics is the set of methods used to analyze the data. Real-world evidence is the conclusion those analyses produce about a treatment’s use, benefits or risks.
What makes real-world data analytics trustworthy?
Good data quality, fit-for-purpose data, transparent and explainable methods, attention to bias and fairness, validation, and strong governance and privacy protection.
What is federated analytics?
Federated analytics runs analyses across multiple datasets without moving the data, protecting privacy while allowing insights to be drawn from many sources.
How is data quality ensured in analytics?
Through cleaning, standardization, validation against known benchmarks, provenance tracking and ongoing quality checks throughout the analytics pipeline.
What is the role of generative AI in real-world data?
Generative AI is being explored for extracting information from unstructured records, summarizing evidence and supporting analysis, always with careful validation and governance.
What is RWE Connect 2026?
RWE Connect 2026 is a two-day real-world evidence summit in Boston bringing together the RWE, HEOR and data science leaders who generate and apply real-world evidence, with 40+ speakers and 150+ attendees.
When and where is RWE Connect 2026?
14 to 15 October 2026 at the Hampton Inn by Hilton, Boston Seaport District, Boston, MA.
