Building digital solutions for healthcare.
The Informatics Lab, led by Javad M Alizadeh, transforms complex clinical and social data into practical healthcare solutions powered by Digital Twins, LLMs, Agentic AI, RAG, and Conversational AI for chronic disease management and community health.
Tools in the field
Software that turns complex clinical, geospatial, and community data into insights and conversations providers and people can act on.
Choropleth Map Generator
A web tool for rapid geospatial visualization. Upload a CSV and instantly map data across countries, US states, or ZIP Code Tabulation Areas, built for public-health analysts and researchers.
Open application →
Dream KG
A knowledge graph-powered conversational system for connecting people experiencing homelessness with verified community services. Combines LLMs with structured spatial and temporal reasoning to deliver accurate, location-aware, and up-to-date service recommendations.
Open application ↗Peer-reviewed work
Digital twins, predictive modeling, and knowledge-graph systems applied to Type 2 diabetes management and personalized community health.
DreamKG: A KG-Augmented Conversational System for People Experiencing Homelessness
DreamKG is a RAG-powered chatbot that helps people experiencing homelessness find community services using a graph database for accurate, location-aware recommendations. Built as part of the NSF-funded Prototype Open Knowledge Network (Proto-OKN).
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Digital Twin Framework for Personalized Care Planning
A practical digital-twin framework (DT4PCP) for chronic disease: a real-time virtual model of a patient's health that predicts emergency-department risk, simulates interventions, and personalizes care for Type 2 diabetes.
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An AI-Powered Clinical Decision Support System for Patients with Diabetes: Integrating Machine Learning for Readmission Prediction and Large Language Models for Recommendations
An AI-powered clinical decision support system (CDSS) for diabetes that combines machine learning and large language models to predict 30-day hospital readmission risk, provide personalized recommendations, and support real-time clinical decision-making.
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Predicting Emergency Department Visits for Type 2 Diabetes
ML models trained on 34,151 patients and 703,065 visits from the HealthShare Exchange. Ensemble Learning and Random Forest reached 0.82 AUC ROC, reliable tools for forecasting ED demand and enabling early intervention.
Read paper →Research you can actually use.
The Informatics Lab pairs rigorous data science with user-centered design, so complex models become interfaces people trust, for providers, social workers, and patients alike.
Developed pipeline runs from raw EHRs to deployment: cleaning and integrating messy records into analysis-ready datasets, developing predictive models, and putting them in front of clinicians through digital twins, decision-support systems, and interactive dashboards.
Each system is built for real-world workflow integration, technology that enhances, rather than disrupts, how care is delivered. Research outputs have been presented at AMIA, APHA, ICHI, CHASE, PAKDD, and the College of Physicians of Philadelphia.
Digital Twins & Care Planning
Real-time virtual patient models that personalize care for chronic conditions like Type 2 diabetes and hypertension.
Predictive Modeling & AI
Machine learning models that forecast adverse health outcomes, such as emergency visits and hospital readmissions.
Knowledge Graphs & LLMs
Graph databases and retrieval-augmented generation powering accurate, conversational search.
Clinical Decision Support
Predictive analytics paired with generative AI for personalized treatment guidance.
EHR Data Engineering
Reproducible pipelines that turn messy electronic health records into analysis-ready datasets.
Community Health AI
Conversational tools connecting vulnerable populations, including people experiencing homelessness, to care.
Presenting the work
A look back at conference and symposium presentations. Swipe through the gallery from each event.
Natural Language Processing in Health Professions Education: A Scoping Review
Dynamic, Responsive, Adaptive, and Multifaceted Knowledge Graph (DREAM KG)
Let's build something for healthcare.
For research partnerships, consulting, or technical collaboration, inquiries are welcome.
info@theinformaticslab.com →