Authors
Manuel Marques-Cruz, Bernardo Sousa-Pinto, Wojtek Wiercioch, Marge Reinap, Ignacio Neumann, Yuan Chi, Artur Nowak, Mariette Awad, Monika Nothacker, Jan Brozek, Pablo Alonso-Coello, Amir Qaseem, Elie A Akl, Holger J Schünemann
Published in
Clinical and public health guidelines. Volume 2. Issue 4. Pages e70038. Epub Aug 22, 2025.
Abstract
Artificial intelligence (AI) has the potential to support processes of the guideline enterprise. To support the adequate preplanning and the transparent reporting of the use of AI in the guideline enterprise, the Guidelines International Network (GIN) proposed the development of an extension of the GIN-McMaster Guideline Development Checklist (GDC) for the use of AI in guidelines. Here we describe the protocol for the development of this extension.
We will follow a multiphase approach to generate an extension of the GIN-McMaster GDC. We will start by prompting a large language model to suggest relevant items for the extension. We will subsequently revise the obtained outputs in an iterative process involving the different elements of the working group. This iterative process will be informed by a scoping review. We will then reach different stakeholders to test the proposed checklist extension on their easiness of use, implementation, feasibility and reasonability.
This protocol lays the ground for the development of an extension to the GIN-McMaster GDC for the use of AI in guidelines. This extension will support the adequate use of AI in the guideline enterprise.
PMID:
42740725
Bibliographic data and abstract were imported from PubMed on 15 Sep 2026.
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