Abstract
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.
| Original language | English |
|---|---|
| Journal | The Lancet. Microbe |
| Early online date | 7 Mar 2024 |
| DOIs | |
| Publication status | E-pub ahead of print - 7 Mar 2024 |
Bibliographical note
Acknowledgments:The study was funded, in part, by the Medical Directorate of the NIHR Clinical Research Network Coordinating Centre and the NIHR CRN Specialty Group for Infection. The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The NIHR CRN facilitated the programme by organising a series of online and face-to-face meetings and helped to convene the Steering Group and Leadership Group.
