Protocol for the Creation of the Guidelines International Network–McMaster Guideline Development Checklist Extension for Integrating Artificial Intelligence in the Guideline Enterprise (Guidelines‐Artificial Intelligence Extension)

ABSTRACT Introduction 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. Methods 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. Questions 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.

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Publication Details

Journal
Clinical and Public Health Guidelines
Published
2025-08-22
DOI
https://doi.org/10.1002/gin2.70038
Citations
1
Primary Topic
Clinical practice guidelines implementation
Type
article
Field-Weighted Citation Impact
1.88
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article

Protocol for the Creation of the Guidelines International Network–McMaster Guideline Development Checklist Extension for Integrating Artificial Intelligence in the Guideline Enterprise (Guidelines‐Artificial Intelligence Extension)

Marge Reinap, Mariette Awad, Jan Brożek, Pablo Alonso‐Coello et al.
1 citations
Clinical and Public Health Guidelines
Clinical practice guidelines implementation
1.88
article

Protocol for the Creation of the Guidelines International Network–McMaster Guideline Development Checklist Extension for Integrating Artificial Intelligence in the Guideline Enterprise (Guidelines‐Artificial Intelligence Extension)

Marge Reinap, Mariette Awad, Jan Brożek, Pablo Alonso‐Coello, Monika Nothacker, Bernardo Sousa‐Pinto, Artur Nowak, Yuan Chi, Wojtek Wiercioch, Manuel Marques‐Cruz, Holger J. Schünemann, Amir Qaseem, Elie A Akl, Ignacio Neumann
article en
1 citations

Abstract

ABSTRACT Introduction 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. Methods 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. Questions 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.

Clinical and Public Health GuidelinesVol. 2(4)
Humanitas University (IT), Universidade do Porto (PT), Association of the Scientific Medical Societies (DE), Hospital de Sant Pau (ES), San Sebastián University (CL), American College of Physicians (US), World Health Organization Regional Office for Europe (DK), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), Centre for Health Technology and Services Research (PT), Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (ES), Cochrane (CA), Impact (CA), IRCCS Humanitas Research Hospital (IT), Institut de Recerca Sant Pau (ES), McMaster University (CA), American University of Beirut (LB)
Openalex Percentile: Top 13%
Clinical practice guidelines implementation
1.88
DOIOpen Access PDFOpenAlex
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