Strengthening National Antimicrobial Resistance Surveillance in Iran: Establishing an Indigenous System for the Integration and Management of Antimicrobial Susceptibility Testing Data

Document Type : policy brief

Authors

1 saveh univercity of medical science

2 1. Artificial Intelligence in Environmental Health Research Center (AI-EHRC), Saveh University of Medical Sciences, Saveh, Iran.

3 2. Reference Health Laboratory (RHL), Ministry of Health and Medical Education, Tehran, Iran

4 1. Artificial Intelligence in Environmental Health Research Center (AI-EHRC), Saveh University of Medical Sciences, Saveh, Iran

5 3. University of Urmia, Urmia, Iran

10.22034/sumsj.2026.577990.1077
Abstract
Background: Antimicrobial resistance (AMR) is a major global and national public health threat, driven by inappropriate antibiotic use and weaknesses in surveillance systems. Lack of standardized and integrated antimicrobial susceptibility testing (AST) data remains a key challenge.
Methods: This policy brief is based on scientific evidence, a review of international experiences, and an analysis of the current AMR surveillance system in Iran, with a focus on the need for an integrated indigenous AMR data management system.
Results: The findings indicate that AMR surveillance in Iran is fragmented and largely dependent on non-indigenous software such as WHONET. This creates challenges, including poor data integration, limited data governance, cybersecurity concerns, and technological dependency.
Conclusion and Policy Recommendations: Development and implementation of an integrated indigenous Antimicrobial Resistance data management system (IAMR) is essential to strengthen national surveillance capacity, improve data-driven decision-making, and support rational antibiotic use in Iran.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 07 June 2026