Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise.

Journal: Annals of internal medicine
PMID: 39869912

Abstract

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.

Authors

  • Bernardo Sousa-Pinto
    Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal.
  • Manuel Marques-Cruz
    Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal (B.S.-P., R.J.V., M.M.-C., S.G.-M., L.P., M.M., A.M.P.).
  • Ignacio Neumann
    School of Medicine, Universidad San Sebastián, Santiago, Chile (I.N.).
  • Yuan Chi
    Department of Biomedical Informatics, Columbia University, New York, NY, USA.
  • Artur J Nowak
    Evidence Prime Inc, Krakow, Poland.
  • Marge Reinap
    WHO Regional Office for Europe, Copenhagen, Denmark (M.R.).
  • Mariette Awad
    Department of Electrical and Computer Engineering, American University of Beirut, Lebanon. Electronic address: ma162@aub.edu.lb.
  • Monika Nothacker
    AWMF (Association of the Scientific Medical Societies in Germany) Institute for Medical Knowledge Management, c/o University of Marburg, Marburg, Germany (M.N.).
  • Milana Trucl
    European Patient Forum, Brussels, Belgium (M.T.).
  • Jan Brozek
    Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
  • Pablo Alonso-Coello
    Institut de Recerca Sant Pau (IR Sant Pau), and CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain (P.A.-C.).
  • Wojtek Wiercioch
    Department of Health Research Methods, Evidence and Impact and Michael G. DeGroote Cochrane Canada & McMaster GRADE Centres, McMaster University, Hamilton, Ontario, Canada (W.W.).
  • Amir Qaseem
    American College of Physicians, Philadelphia, Pennsylvania (A.Q.).
  • Elie A Akl
    Department of Internal Medicine, American University of Beirut, Beirut, Lebanon (E.A.A.).
  • Holger J Schünemann
    Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

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