Empowering Patients, Assisting Clinicians, Accelerating Research
Optimized Surgical Preparation & Patient Support
From Anxiety to Confidence: A 24/7 Companion for the Surgical Journey.
Surgery is a high-stress event. Patients are often overwhelmed with information, while medical teams struggle with limited time for pre-op assessments. Llaama’s Patient Digital Twin acts as an intelligent bridge, ensuring patients are prepared and clinicians are informed.
How It Works: A Two-Way Dialogue Instead of handing the patient a static PDF brochure, the Digital Twin engages in an active, personalized conversation.
1. Empowering the Patient The Digital Twin is available 24/7 to answer the anxieties that keep patients awake at night. Because it is powered by Agentic AI, it provides precise, medically validated answers specific to their procedure—not generic web search results.
Procedure Clarity: "What exactly happens during the anesthesia?"
Preparation: "When do I need to stop eating?"
Recovery & Lifestyle: "Will I be able to play tennis after recovery?" or "What foods should I avoid next week?"
2. Assisting the Medical Team The Twin doesn't just answer; it asks. Acting on protocols defined by your surgeons and nurses, the Twin conducts the pre-op interview autonomously.
It verifies checklist items: "Have you stopped taking blood thinners as prescribed?"
It assesses readiness: "Do you have someone to drive you home?"
Precision Research & Real-World Evidence
Turn Individual Patient Journeys into Global Clinical Insights.
The interactions between patients and their Digital Twins generate a goldmine of high-fidelity data. Llaama transforms this daily feedback into structured Real-World Evidence (RWE) for researchers, enabling a shift from generalized medicine to true precision R&D.
High-Fidelity Data, Ready for Analysis Forget messy, unstructured datasets. Because our Agentic AI follows strict clinical protocols when talking to patients, the data it collects is standardized from the start.
Deep Phenotyping: Capture granular details—from daily symptom fluctuations to lifestyle impacts—that traditional clinical visits miss.
Longitudinal Tracking: Observe the complete patient trajectory in real-time, not just snapshot data points.
For Pharma R&D: Run in silico simulations using realistic patient profiles to predict drug efficacy and identify responder subgroups early.
For Clinical Trials: Accelerate recruitment by identifying the exact patients who match complex inclusion criteria based on their Digital Twin data.
