Article

Developing and Prospectively Validating a Reproducible Graph Representation Specification for Clinical Guideline Algorithms: The Measurement Foundation of the Clinical Guideline Complexity Index

2026-07-20

Abstract excerpt

<h4>Background</h4> Translating a clinical guideline decision algorithm into a computational graph requires judgment, and unconstrained coding yields divergent graphs; any complexity measure computed from such a graph inherits that variation, so its reproducibility must be demonstrated rather than assumed. <h4>Objective</h4> To develop, and prospectively test, an empirical method for making graph extraction repr...

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Literature Corpus work: eecdeee5-9dc5-55d0-8245-726d9963801f
DOI: 10.64898/2026.07.17.26358358

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