Session

Chat-Based Anomaly Detection for Hospitals: An AI-Powered Streamlit App for Insightful Audits

Discover how to detect hospital billing anomalies with a no-code, AI-powered Streamlit app. This session walks through a real-world solution combining ML models, SHAP explainability, and GPT-generated insights. Learn to automate audits, visualize outliers, and communicate findings with business users—all in one interactive dashboard. Ideal for healthcare BI teams, analysts, and data scientists.

Deepti Bahel

Engineer of Data. Advocate for Health. Believer in Better Systems.

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