TY - JOUR
T1 - Guidelines International Network
T2 - Principles for Use of Artificial Intelligence in the Health Guideline Enterprise
AU - 2024 Board of Trustees of the Guidelines International Network
AU - Sousa-Pinto, Bernardo
AU - Marques-Cruz, Manuel
AU - Neumann, Ignacio
AU - Chi, Yuan
AU - Nowak, Artur J.
AU - Reinap, Marge
AU - Awad, Mariette
AU - Nothacker, Monika
AU - Trucl, Milana
AU - Brozek, Jan
AU - Alonso-Coello, Pablo
AU - Wiercioch, Wojtek
AU - Qaseem, Amir
AU - Akl, Elie A.
AU - Schünemann, Holger J.
N1 - Publisher Copyright:
© 2025 American College of Physicians.
PY - 2025/3
Y1 - 2025/3
N2 - Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as “systems that display intelligent behaviour by analysing their environment and taking actions—with some degree of autonomy—to achieve specific goals.” Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as “guideline enterprise.” Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise. Methods: A GIN working group on AI developed these principles, informed by the results of a scoping review and practical examples, through iterative discussion. Recommendations: Eight principles were identified to adhere to when using AI in the guideline context: transparency, preplanning, additionality, credibility, ethics, accountability, compliance, and evaluation. These complementary principles are described in a comprehensive way, but they do not provide detailed instructions on how to use specific AI tools. Although these principles are expected to apply across different contexts and stages of the guideline enterprise, details on their implementation have some degree of flexibility. Guideline development groups choosing to use AI will be able to adequately implement the principles if they ensure aspects such as structured reporting on the use of AI tools, involvement of experts in AI, and allocation of funding for the adequate use of AI tools. The GIN principles may support guideline developers in the responsible and transparent use of AI to ensure trustworthy guidelines.
AB - Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as “systems that display intelligent behaviour by analysing their environment and taking actions—with some degree of autonomy—to achieve specific goals.” Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as “guideline enterprise.” Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise. Methods: A GIN working group on AI developed these principles, informed by the results of a scoping review and practical examples, through iterative discussion. Recommendations: Eight principles were identified to adhere to when using AI in the guideline context: transparency, preplanning, additionality, credibility, ethics, accountability, compliance, and evaluation. These complementary principles are described in a comprehensive way, but they do not provide detailed instructions on how to use specific AI tools. Although these principles are expected to apply across different contexts and stages of the guideline enterprise, details on their implementation have some degree of flexibility. Guideline development groups choosing to use AI will be able to adequately implement the principles if they ensure aspects such as structured reporting on the use of AI tools, involvement of experts in AI, and allocation of funding for the adequate use of AI tools. The GIN principles may support guideline developers in the responsible and transparent use of AI to ensure trustworthy guidelines.
UR - https://www.scopus.com/pages/publications/105000872959
U2 - 10.7326/ANNALS-24-02338
DO - 10.7326/ANNALS-24-02338
M3 - Article
C2 - 39869912
AN - SCOPUS:105000872959
SN - 0003-4819
VL - 178
SP - 408
EP - 415
JO - Annals of Internal Medicine
JF - Annals of Internal Medicine
IS - 3
ER -