TY - JOUR
T1 - System-wide approaches to antimicrobial therapy and antimicrobial resistance in the UK
T2 - the AMR-X framework
AU - AMR-X Collaborators
AU - Abel, Kathryn
AU - Agnew, Emily
AU - Amos, James
AU - Armstrong, Natalie
AU - Armstrong-James, Darius
AU - Ashfield, Thomas
AU - Aston, Stephen
AU - Baillie, J. Kenneth
AU - Baldwin, Steven
AU - Barlow, Gavin
AU - Bartle, Victoria
AU - Bielicki, Julia
AU - Brown, Colin
AU - Carrol, Enitan
AU - Clements, Michelle
AU - Cooke, Graham
AU - Dane, Aaron
AU - Dark, Paul
AU - Day, Jeremy
AU - de-Soyza, Anthony
AU - Dowsey, Andrew
AU - Evans, Stephanie
AU - Eyre, David
AU - Goodman, Anna
AU - Holmes, Alison
AU - Macgowan, Alasdair
AU - Thomas-Jones, Emma
AU - Walker, Sarah
AU - White, Peter
AU - Wilson, Paul
AU - Hope, William
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Antimicrobial resistance (AMR) threatens human, animal, and environmental health. Acknowledging the urgency of addressing AMR, an opportunity exists to extend AMR action-focused research beyond the confines of an isolated biomedical paradigm. An AMR learning system, AMR-X, envisions a national network of health systems creating and applying optimal use of antimicrobials on the basis of their data collected from the delivery of routine clinical care. AMR-X integrates traditional AMR discovery, experimental research, and applied research with continuous analysis of pathogens, antimicrobial uses, and clinical outcomes that are routinely disseminated to practitioners, policy makers, patients, and the public to drive changes in practice and outcomes. AMR-X uses connected data-to-action systems to underpin an evaluation framework embedded in routine care, continuously driving implementation of improvements in patient and population health, targeting investment, and incentivising innovation. All stakeholders co-create AMR-X, protecting the public from AMR by adapting to continuously evolving AMR threats and generating the information needed for precision patient and population care.
AB - Antimicrobial resistance (AMR) threatens human, animal, and environmental health. Acknowledging the urgency of addressing AMR, an opportunity exists to extend AMR action-focused research beyond the confines of an isolated biomedical paradigm. An AMR learning system, AMR-X, envisions a national network of health systems creating and applying optimal use of antimicrobials on the basis of their data collected from the delivery of routine clinical care. AMR-X integrates traditional AMR discovery, experimental research, and applied research with continuous analysis of pathogens, antimicrobial uses, and clinical outcomes that are routinely disseminated to practitioners, policy makers, patients, and the public to drive changes in practice and outcomes. AMR-X uses connected data-to-action systems to underpin an evaluation framework embedded in routine care, continuously driving implementation of improvements in patient and population health, targeting investment, and incentivising innovation. All stakeholders co-create AMR-X, protecting the public from AMR by adapting to continuously evolving AMR threats and generating the information needed for precision patient and population care.
UR - https://www.scopus.com/pages/publications/85188565693
U2 - 10.1016/S2666-5247(24)00003-X
DO - 10.1016/S2666-5247(24)00003-X
M3 - Review article (Academic Journal)
C2 - 38461831
AN - SCOPUS:85188565693
SN - 2666-5247
VL - 5
SP - 500
EP - 507
JO - The Lancet Microbe
JF - The Lancet Microbe
IS - 5
ER -