Manages healthcare metrics and dbt models for the Engage Analytics project, including questionnaire processing and indicator definitions.
The Engage Indicators skill streamlines the management of healthcare analytics within the Engage dbt project by automating the creation of indicators and questionnaire models. It provides standardized workflows for extracting metadata from FHIR-like questionnaire responses, generating anonymized data models, and mapping complex indicators to specific dbt metrics. This skill is essential for data engineers and analysts working with mental health screenings—such as PHQ-9 and GAD-7—and clinical workflows, ensuring consistent metric definitions and robust data privacy through automated PII anonymization.
主な機能
01Automated questionnaire model generation for both named and anonymized datasets
02Guided workflows for defining and mapping new healthcare indicators and domains
03Built-in patterns for calculating clinical assessment scores like PHQ-9 and GAD-7
04Standardized metadata management for granular PII and anonymization control
05Seamless integration with dbt for metric cataloging and fact table construction
060 GitHub stars
ユースケース
01Integrating a new clinical questionnaire into the Engage Analytics data pipeline
02Defining programmatic metrics for patient adoption, treatment, and follow-up rates
03Ensuring PII compliance by updating anonymization flags in questionnaire metadata
