AI is Rewriting The Rules of Real-World Data.
At Artificially Real, we explore how life sciences leaders are using modern AI to turn scattered real-world data into strategic clarity.
The future of insight isn’t coming—it’s already here.
BUILDING LIFE SCIENCES LLMs: Data Access and Integration
Article 3 – Data Access & Integration
From Ario Health’s “Building Smarter Life Sciences LLMs” series
LLMs are only as good as the data they’re built on.
In Article 3 of Ario Health’s Building Smarter with LLMs series, we dig into one of the most overlooked—but mission-critical—elements of any life sciences AI initiative: Data Access and Integration.
From handwritten clinical notes to fragmented claims databases, real-world data is messy, multi-modal, and inconsistent. This article lays out how to turn that complexity into a competitive advantage by:
Connecting siloed systems
Normalizing and aligning clinical semantics
Structuring unstructured text for LLM-readiness
Enabling full traceability and data lineage
Automating secure, role-based data pipelines
Whether you’re enabling safety signal detection, clinical trial optimization, or medical information workflows, clean, connected data is your foundation for safe and scalable LLMs.
BUILDING LIFE SCIENCES LLMs: Essential Solution Components
Article 2 – Essential Solution Components
From Ario Health’s “Building Smarter Life Sciences LLMs” series
In Article 2 of Ario Health’s “Building Smarter with LLMs” series, we go under the hood to explore the six essential solution components that turn LLM architecture into real enterprise intelligence.
From prompt orchestration to retrieval-augmented generation (RAG), biomedical embeddings, and human-in-the-loop feedback—this guide breaks down the infrastructure needed to support scalable, compliant, and high-impact AI systems.
🧬 Designed for life sciences. Built for real-world data.
#LLMs #AIinHealthcare #RWD #LifeSciencesIT #DigitalBiotech #GenerativeAI #ArioHealth
BUILDING SMARTER LIFE SCIENCES LLMS: A SERIES
Introduction – “Building Smarter Life Sciences LLMs” series
New Blog Series Alert: “Building Smarter Life Sciences LLMs”
Life sciences companies are sitting on goldmines of Real World Data—claims, EHRs, patient notes—but struggle to connect the dots. Enter LLMs.
In our new 5-part series, we break down how IT leaders can design and implement enterprise-grade LLM solutions to:
✅ Accelerate evidence generation
✅ Unlock new clinical + commercial insights
✅ Ensure compliance & data privacy
✅ Unify data silos and boost R&D ROI
Whether you’re evaluating use cases or scaling existing AI investments, this is your end-to-end blueprint.
Interlinking Real World Data At Unprecedented Scale
Tthe fragmented and complex nature of RWD—spread across electronic health records (EHRs), claims data, clinical trials, and patient registries—poses significant challenges to effective analysis. Large Language Models (LLMs) are emerging as transformative tools for linking disparate RWD records, enabling life sciences companies to generate deeper insights and accelerate innovation