
Farhad Nateghi developed multiple data-driven features for the HealthRex/CDSS repository, focusing on healthcare technology and clinical decision support. He built a Flask-based web application for predicting patient retention in OUD treatment, integrating a pre-trained survival model and interactive Plotly visualizations. Farhad also engineered an eConsult embedding system using Python and natural language processing to enable template recommendations, and expanded the system with multi-specialty JSON templates for broader clinical coverage. His work included data cleaning pipelines, cohort processing workflows, and PDF flowchart visualizations, leveraging Jupyter Notebook and Pandas to streamline analysis and improve reproducibility across clinical data scenarios.

December 2025 monthly focus: expanded eConsult capabilities by introducing multi-specialty JSON templates and enabling efficient support scaffolding. This delivered richer data templates, improved routing and caching, and prepared the system for broader clinical questions across specialties.
December 2025 monthly focus: expanded eConsult capabilities by introducing multi-specialty JSON templates and enabling efficient support scaffolding. This delivered richer data templates, improved routing and caching, and prepared the system for broader clinical questions across specialties.
In August 2025, HealthRex/CDSS delivered foundational data processing capabilities for antibiotic susceptibility analysis. Implemented data cleaning for medication names, cohort data processing, and a PDF flowchart visualization, packaged as Python scripts and a Jupyter Notebook for Aim 4. These artifacts enable reproducible analysis, clearer communication of workflow, and faster iteration on antimicrobial guidance scenarios.
In August 2025, HealthRex/CDSS delivered foundational data processing capabilities for antibiotic susceptibility analysis. Implemented data cleaning for medication names, cohort data processing, and a PDF flowchart visualization, packaged as Python scripts and a Jupyter Notebook for Aim 4. These artifacts enable reproducible analysis, clearer communication of workflow, and faster iteration on antimicrobial guidance scenarios.
February 2025 – HealthRex/CDSS. Delivered the eConsult Embedding System to extract and embed templates for similarity-based recommendations, with installation and usage guidance. Cleaned and reintegrated the eConsult-embeddings directory, removing noise and ensuring it exists as a regular folder for stable asset management. These efforts improve template discovery, reduce onboarding time for new embeddings, and strengthen repository organization. Technologies and skills demonstrated include scripting, embedding workflows, Git version control, and documentation.
February 2025 – HealthRex/CDSS. Delivered the eConsult Embedding System to extract and embed templates for similarity-based recommendations, with installation and usage guidance. Cleaned and reintegrated the eConsult-embeddings directory, removing noise and ensuring it exists as a regular folder for stable asset management. These efforts improve template discovery, reduce onboarding time for new embeddings, and strengthen repository organization. Technologies and skills demonstrated include scripting, embedding workflows, Git version control, and documentation.
January 2025 performance summary for HealthRex/CDSS: End-to-end delivery of a web application for predicting patient retention/attrition in OUD treatment, with a Flask backend and Plotly-based visualizations; deployment/build workflow established; focused on business value through data-driven retention insights.
January 2025 performance summary for HealthRex/CDSS: End-to-end delivery of a web application for predicting patient retention/attrition in OUD treatment, with a Flask backend and Plotly-based visualizations; deployment/build workflow established; focused on business value through data-driven retention insights.
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