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title: AI Medicare Advantage Analyzer | |
emoji: π§ | |
colorFrom: blue | |
colorTo: yellow | |
sdk: gradio | |
python_version: 3.10.0 | |
app_file: app.py | |
pinned: true | |
license: mit | |
cover_image: mylogo.JPG | |
sdk_version: 5.25.0 | |
# AI Medicare Advantage Analyzer π§ π | |
**Built by PDS β Healthcare Analytics Powered by AI** | |
This Hugging Face Space analyzes Medicare Advantage patient data using CMS/HEDIS rules, | |
identifies care gaps, estimates financial recovery, and generates personalized summaries | |
using an embedded local LLM. | |
## π Features | |
- HEDIS & STAR care gap detection (e.g. Breast Cancer, A1c, BP) | |
- SDOH-aware financial forecasting with HCC logic | |
- LLM-generated summaries with prompt engineering | |
- Cohort insights dashboard: risk, gap frequency, revenue | |
- ZIP export of docx reports | |
## π How to Use | |
1. Upload a CSV with synthetic or de-identified patient records. | |
2. Select report tone & optional custom summary prompt. | |
3. View reports, download ZIP, and explore population-level visuals. | |
## π§ Powered By | |
- Python Β· Gradio Β· Pandas Β· Matplotlib Β· Seaborn | |
- `llama-cpp-python` with DeepCogito LLM (8B GGUF) |