Welcome to Artificially Real, the only life sciences blog dedicated to AI solutions expanding Real World Data research.
Understand the biggest trends in AI impacting the Life Sciences industry. Understand the business values companies are recognizing through the use of LLMs and RWD.
Learn about changes companies have to make to achieve their business goals. Hear about the latest regulatory changes impacting your business operations.
Learn about industry best practices for designing, implementing, operating, and managing AI programs effectively.
Hear about critical regulatory, compliance, and privacy requirements as they change.
Learn how colleagues and peers how tackled similar challenges.
Learn about the innovative AI initiatives being undertaken by fellow Life Sciences firms.
Understand the business goals, processes, changes, and advancements undertaken to realize measurable value from the programs.
See the impacts realized by these inititives.
Read reviews of vendors that offer valuable components needed for effective RWD, AI, and analytics programs.
Learn about the capabilities, functionality, and focus of different vendors. Understand their developments and progress. We continually update our vendor listings to reflect the latest details.
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BUILDING LIFE SCIENCES LLMs: Data Access and Integration
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
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
New Blog Series Alert: “Building Smarter with 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
