Quantitative Nurse
Research

Two questions: who has a substance use disorder in the record, and what should decision support look like?

Our phenotyping work identifies substance use disorder in electronic health records accurately enough to support multi-site research. Our decision support work tests interface designs empirically rather than by intuition.

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Projects

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Software

We release the code behind our papers so other teams can reproduce and extend the work.

  • sudregex

    Python package · MIT · v0.1.8, July 2026

    Regex-driven extraction for clinical text, with configurable negation scope, substance-context gating, and false-positive pruning. Reports match counts, not just flags. Runs on pandas locally or distributed on Spark and Databricks.

    pip install sudregex
  • abc_regex

    Python · research code

    Automates the Addiction Behaviors Checklist over clinical notes with regular expressions. The published code for our 2025 JAMA Psychiatry study.

  • Snorkel Interactive

    Not publicly released · available on request

    Research teams interested in using it can contact us for access.