Packages

Explore the OpenRBQM ecosystem of open-source R packages for RBQM.

Overview

The OpenRBQM framework is designed to provide a robust and flexible solution for risk-based quality management. It includes a variety of packages that help streamline processes and ensure compliance with industry standards.

The {gsm} Ecosystem

The {gsm.core} package is a successor to {gsm}, which was deprecated in March 2025. The contents of {gsm} were split into a family of focused packages, each owning one part of the risk-based monitoring workflow.

Package lineage

flowchart TD
    gsm["<b>gsm</b><br/><i>deprecated Mar 2025</i>"]:::deprecated
    gsm --> core["<b>gsm.core</b><br/>analytics engine"]
    gsm --> workr["<b>workr</b><br/>workflow runtime"]
    gsm --> mapping["<b>gsm.mapping</b><br/>data transformation"]
    gsm --> kri["<b>gsm.kri</b><br/>metrics &amp; visualization"]
    gsm --> reporting["<b>gsm.reporting</b><br/>reporting data model"]

    classDef deprecated fill:#dc3545,stroke:#a71d2a,color:#fff;

How the packages fit together

Together the successor packages form a pipeline that turns raw clinical data into monitoring reports. {workr} executes the YAML-defined workflows that drive each step, and {gsm.core} provides the analytics used to construct and evaluate the metrics.

flowchart LR
    raw[("Raw / source<br/>datasets")] --> mapping["gsm.mapping<br/><i>map to domains</i>"]
    mapping --> kri["gsm.kri<br/><i>generate & visualize metrics</i>"]
    kri --> reporting["gsm.reporting<br/><i>reporting data model</i>"]
    reporting --> reports[["Reports"]]

    core["gsm.core<br/><i>analytics engine</i>"] -. "metric analytics" .-> kri
    workr["workr<br/><i>workflow runtime</i>"] -. "executes workflows" .-> mapping
    workr -.-> kri
    workr -.-> reporting

    classDef runtime fill:#0d6efd,stroke:#0a58ca,color:#fff;
    class workr,core runtime;

Package roles

Package	Role
`{gsm.core}`	Analytics functionality used to construct and evaluate metrics.
`{workr}`	Workflow runtime that executes YAML-defined steps and workflows.
`{gsm.mapping}`	Workflows that transform raw/source datasets into the appropriate domains.
`{gsm.kri}`	Workflows to generate metrics, plus functionality to visualize and report on them.
`{gsm.reporting}`	Workflows to build the reporting data model needed to generate reports.

Packages

Core Packages

gsm.core

Moved to Gilead-Public/gsm.core — this repo only hosts a docs redirect

gsm.core

The Good Statistical Monitoring or ‘gsm’ suite of R packages provides a framework for statistical data monitoring. ‘gsm.core’ provides the analytics framework for constructing metrics, and the utility functions to run workflows.

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