Pingoo.AI Learning Health system
A continuous AI-powered aggregated data for better decision-making
Pingoo Learning Health System is designed to improve individuals' health and personalized care through the integration of knowledge-generation processes into daily practice.
The methodology employed involves the systematic integration of internal data and external evidence, analyzing patient data to look for trends to predict effective treatment plans, and facilitate evidence-based care in real-time.
Components of the Silverberry Learning Health Syste
Precision Health Data: Integrating patient information, including genetic profiles, for personalization.
Electronic Health Records (EHR): Integration with the existing digital health and medical records.
Scientific Literature: Current research data informing predictive models and treatment options, annotated and summarized by AI.
AI/ML Training and Prediction Model: algorithms, methods, and techniques to interpret data to information Knowledge Graph to convert data to knowledge.
Knowledge Graph: The core system that learns and adapts to provide personalized health insights. A dynamic, interconnected model that learns continuously and evolves with new data.
Continuous Monitoring: Real-time health tracking to inform and adjust treatment plans, integrated with sensors and wearables to receive aggregated biomarkers.
Patient Engagement with AI Health Companion (Pingoo.AI): Interactive support and health education for patients through AI.
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