TRV-2026-2170Certified recordPeer-reviewed

From Divergent Guidelines to Delphi-Ready Items: Tutorial for Large Language Model-Assisted Guideline Harmonization Using Penile Cancer as a Worked Example

Background: Clinical practice guidelines are central instruments of evidence-based care; yet, in many domains, particularly rare or complex diseases, multiple guidelines coexist and frequently offer conflicting advice. Existing strategies for resolving such divergences are often labor-intensive, opaque, and insufficiently reproducible. Objective: This tutorial aimed to develop and demonstrate a reproducible workflow for transforming divergent clinical guideline recommendations and literature-derived white areas…

Health · Good Space — documented gain · certified 2026-10-22 · v1 · article view · machine-readable

Current reading — gain

An LLM-assisted workflow condensed 157 recommendations from 5 penile cancer guidelines into 68 harmonized items and flagged where guidelines diverge, making consensus preparation more reproducible.

What this doesn’t fix

The method was demonstrated on a single disease as a worked example, and its output is only candidate items awaiting clinical consensus voting, so clinical impact is not yet shown.

Evidence

Reader signal

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Truvace Impact Record TRV-2026-2170, v1: “From Divergent Guidelines to Delphi-Ready Items: Tutorial for Large Language Model-Assisted Guideline Harmonization Using Penile Cancer as a Worked Example.” Truvace, 2026-10-22. /record/TRV-2026-2170 (accessed at citation time). sha256 eecce01bf7885788…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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