PALLUX
Extract clinical features from unstructured EHR data using unsupervised NLP to identify untreated and under-treated patients across prevalent and rare conditions.
Overview
PALLUX is an AI-powered platform developed by Pangaea Data that applies novel unsupervised natural language processing (NLP) to extract clinically meaningful intelligence from unstructured and structured Electronic Health Record (EHR) data, including doctors' notes and specialist reports. Designed for healthcare providers, life sciences organisations, and pharmaceutical partners, PALLUX leverages clinical guidelines and advanced context-aware reasoning to identify untreated and under-treated patients across both prevalent and rare, hard-to-diagnose conditions.
The platform operates as a single, configurable solution that ingests EHR data alongside clinical guidelines, processes that information using privacy-preserving AI, and delivers explainable, actionable outputs through an intuitive user dashboard. Pangaea Data has established collaborations with leading organisations including AstraZeneca, Alexion, Topcon Healthcare, Microsoft, and NVIDIA, demonstrating the platform's growing adoption across the life sciences and healthcare ecosystem.
Input Capabilities
- Processes both unstructured and structured EHR data, including doctors' notes, lab results, genetic screening results, family history, signs, symptoms, and specialist reports
- Automatically reviews multiple types of patient data in a manner analogous to manual clinical review
- Supports patient records across multiple languages
- Delivers high accuracy across heterogeneous datasets
Core Platform Features
- Single platform configured on established clinical guidelines
- Clinically validated methodology
- Privacy-preserving architecture with no data transacted outside the healthcare provider's environment
- Context-aware reasoning grounded in clinical guidelines
- Ability to differentiate between conditions with overlapping clinical features
Output and Results
- Identifies more untreated and under-treated patients within existing patient populations
- Discovers new relationships between clinical features
- Covers both prevalent and rare hard-to-diagnose conditions within a single platform
- Provides explainable results directly linked to clinical guidelines
- Intuitive user dashboard available in multiple languages
Demonstrated Disease Coverage
- Cardiology: Obstructive Hypertrophic Cardiomyopathy
- Endocrinology: Cushing's Syndrome
- Infectious Disease: Herpes Simplex Virus (HSV)
- Nephrology: Chronic Kidney Disease (CKD)
- Oncology: Breast Cancer, Lung Cancer, Ovarian Cancer, Gastric Cancer, Cancer Cachexia
- Dermatology: Atopic Dermatitis
- Gastroenterology/Hepatology: Primary Biliary Cholangitis (PBC), Crohn's Disease
- Rheumatology: Systemic Lupus Erythematosus (SLE), Lupus Nephritis (LN)
- Respiratory: Asthma, Chronic Obstructive Pulmonary Disease (COPD)
Key Differentiators and Advantages
- Low-lift implementation: Deployable within 8–12 weeks using existing infrastructure, with support for HL7 FHIR standards
- No disruption: Zero disruption to existing clinical and IT workflows
- Integrated dashboard: Easy-to-use, explainable dashboard that integrates into existing EHR systems
- Scalability: One platform capable of addressing both prevalent and rare conditions, enabling opportunities to demonstrate impact and publish findings
- Privacy-preserving deployment: Deployed behind the healthcare provider's firewall with no transaction of patient data externally
- Regulatory compliance: Not classified as Software as a Medical Device (SaMD) per recent FDA guidance, and compliant with both HIPAA and GDPR standards
PALLUX is deployed on-premises behind the healthcare provider's firewall, ensuring data privacy and security while integrating seamlessly with existing EHR infrastructure via HL7 FHIR. Its compliance with HIPAA and GDPR, combined with its non-SaMD classification, makes it well-suited for rapid adoption across diverse healthcare and life sciences settings globally.
