Using digital health technologies to optimise antimicrobial use globally

Timothy M Rawson; Nina Zhu; Ronald Galiwango; Derek Cocker; Mohammad Shahidul Islam; Ashleigh Myall; Vasin Vasikasin; Richard Wilson; Nusrat Shafiq; Shampa Das; Alison H Holmes

doi:10.1016/S2589-7500(24)00198-5

Using digital health technologies to optimise antimicrobial use globally

Lancet Digit Health. 2024 Nov 14:S2589-7500(24)00198-5. doi: 10.1016/S2589-7500(24)00198-5. Online ahead of print.

Authors

Affiliations

¹ Centre for Antimicrobial Optimisation, Imperial College London, London, UK; Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK; The David Price Evans Global Health & Infectious Diseases Group, The University of Liverpool, Liverpool, UK. Electronic address: timothy.rawson07@imperial.ac.uk.
² Centre for Antimicrobial Optimisation, Imperial College London, London, UK; Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK; The David Price Evans Global Health & Infectious Diseases Group, The University of Liverpool, Liverpool, UK.
³ The African Centre of Excellence in Bioinformatics and Data Intensive Sciences, The Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
⁴ The David Price Evans Global Health & Infectious Diseases Group, The University of Liverpool, Liverpool, UK.
⁵ Child Health Research Foundation, Dhaka, Bangladesh.
⁶ Centre for Antimicrobial Optimisation, Imperial College London, London, UK; Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK; Centre for Mathematics of Precision Healthcare, Imperial College London, London, UK.
⁷ Centre for Antimicrobial Optimisation, Imperial College London, London, UK; Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, UK; Division of Infectious Diseases, Department of Internal Medicine, Phramongkutklao Hospital and College of Medicine, Bangkok, Thailand.
⁸ Clinical Pharmacology Unit, Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
⁹ Antimicrobial Pharmacodynamics and Therapeutics, Department of Pharmacology, The University of Liverpool, Liverpool Health Partners, Liverpool, UK.

PMID: 39547912
DOI: 10.1016/S2589-7500(24)00198-5

Abstract

Digital health technology (DHT) describes tools and devices that generate or process health data. The application of DHTs could improve the diagnosis, treatment, and surveillance of bacterial infection and the prevention of antimicrobial resistance (AMR). DHTs to optimise antimicrobial use are rapidly being developed. To support the global adoption of DHTs and the opportunities offered to optimise antimicrobial use consensus is needed on what data are required to support antimicrobial decision making. This Series paper will explore bacterial AMR in humans and the need to optimise antimicrobial use in response to this global threat. It will also describe state-of-the-art DHTs to optimise antimicrobial prescribing in high-income and low-income and middle-income countries, and consider what fundamental data are ideally required for and from such technologies to support optimised antimicrobial use.

Publication types

Review