Source code for "A methodology for using large language models to create user-friendly applications for Medicaid redetermination and other social services" (Ratna et al., 2024)
This project was developed with Python 3.12.4.
git clone [email protected]:navhealth/llm-medicaid-eligibility.git
cd llm-medicaid-eligibility
python3 -m venv venv
source venv/bin/activate
python3 -m pip install -r requirements.txt
cat > .env <<EOF
OPENAI_API_KEY=sk-proj-1234567890abcdefghijklmnopqrstuvwxABCDEFGHIJKLMN
EOF
python3 -m llm_medicaid_eligibility.nd.html_to_text_to_python
python3 -m llm_medicaid_eligibility.sc.html_to_text_to_python
python3 -m llm_medicaid_eligibility.wa.html_to_text_combine_to_python
python3 -m llm_medicaid_eligibility.wa.html_to_text_to_python_combine
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If you find our work useful in your research or if you use parts of this code please consider citing our paper:
Ratna, S., Weeks, W. B., Ferres, J. L., Chopra, A., & Pereira, M. (2024). A methodology for using large language models to create user-friendly applications for Medicaid redetermination and other social services. International Journal of Public Health, 69, 1607317. https://doi.org/10.3389/ijph.2024.1607317
@ARTICLE{10.3389/ijph.2024.1607317,
AUTHOR={Ratna, Sumanth and Weeks, William B. and Ferres, Juan Lavista and Chopra, Aneesh and Pereira, Mayana },
TITLE={A Methodology for Using Large Language Models to Create User-Friendly Applications for Medicaid Redetermination and Other Social Services},
JOURNAL={International Journal of Public Health},
VOLUME={69},
YEAR={2024},
URL={https://www.ssph-journal.org/journals/international-journal-of-public-health/articles/10.3389/ijph.2024.1607317},
DOI={10.3389/ijph.2024.1607317},
ISSN={1661-8564},
}