Skill UI

This skill scaffolds a gold-standard annotation project tailored for evaluating clinical NER and de-identification models (OpenMed). It guides users through defining label schemas, writing rigorous guidelines, configuring annotation tools (like BRAT/Label Studio), generating synthetic clinical text, and creating disciplined, non-leaking train/dev/test splits. It ensures that all committed data are synthetic fixtures for reproducible evaluation.

This skill facilitates the computation of Electronic Clinical Quality Measures (eCQMs) by leveraging CQL (Clinical Quality Language) logic against the QDM (Quality Data Model). It is designed to extract crucial facts—such as counseling provided, symptoms, or documented exclusions—from unstructured clinical notes. By lifting these facts, it supplements structured EHR data, ensuring that numerators and valid exclusions are accurately captured for quality measure evaluation. Note that this tool augments data capture and does not replace certified measure engines.

This skill performs pharmacokinetic and pharmacodynamic modelling, including non-compartmental analysis, compartmental fitting, and population PK. It helps derive exposure metrics, evaluate dosing regimens, and predict drug interactions using Python scripts. Suitable for analyzing concentration-time data and supporting clinical pharmacology workflows.

Analyze health goal data, identify goal patterns, evaluate progress, and provide personalized goal management advice. Supports correlation analysis with nutrition, exercise, sleep, and other health data.

This skill evaluates the health of data assets using Monte Carlo's observability platform. It generates structured reports on freshness, alerts, monitoring coverage, importance, and upstream dependencies. Use it when users inquire about asset status, reliability, or quality.

This skill analyzes nutrition data to identify patterns and assess nutritional status. It provides personalized advice for dietary improvement. It can correlate nutrition data with exercise, sleep, and chronic disease information for comprehensive health insights. Users should use it for macro/micronutrient evaluation and dietary trend analysis.

Analyzes sexual health records, STD screening status, contraception effectiveness, and IIEF-5 scores to surface risk patterns, trends, and signals that warrant professional medical evaluation.