AI In Use: Patient Journey Tracking —

Discover how AI empowers life sciences executives to link claims, diagnostics, EHR, and lab data into cohesive patient journey timelines. By applying advanced data linking techniques and LLMs, companies can build accurate, scalable views of patient experiences. These insights help Medical Science Liaisons (MSLs) deliver targeted, evidence-based education to physicians, address knowledge gaps, and strengthen provider trust. Learn how AI-driven patient journey mapping enhances physician engagement, accelerates adoption, and aligns business strategy with real-world outcomes.

AI In Use: Patient Journey Tracking —

AI is transforming how life sciences executives understand and act on patient journeys. By integrating disparate real-world data (e.g. EHRs, claims, diagnostics, labs), AI can assemble complete timelines, revealing key intervention points, therapy switching patterns, and adherence risks. This article explores a five-stage pipeline, compliance considerations, and real-world use cases for optimizing therapy strategies, clinical trials, and patient engagement.

Unraveling MCPs for Life Sciences

This article introduces Modular Component Pipelines (MCPs) as a foundational architecture for building scalable, transparent, and compliant LLM-powered systems in life sciences. Rather than relying on monolithic AI solutions, MCPs break down complex workflows into discrete, reusable components — such as data ingestion, normalization, prompt engineering, model routing, inference, validation, and feedback.

Key benefits include:

• Agility to swap or update components independently

• Transparency for regulatory compliance and quality assurance

• Reusability across trials, therapeutic areas, or data types

The article highlights common MCP modules, shows how they enhance real-world data (RWD) workflows, and outlines high-impact use cases like patient timeline generation, trial matching, and literature surveillance. It makes the case that MCPs are essential to operationalize AI in life sciences — turning LLMs from experimental tools into enterprise-grade platforms.

Ario Health supports life sciences companies in designing and implementing MCP-based architectures to unlock the full potential of real-world data and generative AI.