ABioGram – Integrated AMR Intelligence
A unified platform for real-time surveillance, analysis, and reporting of antimicrobial resistance data
Problems the system addresses
Quality of every report
Susceptibility results influence antimicrobial therapy. Manual categorization and review increase the risk of inconsistency and overlooked special cases.
Consistent, current rules
Guidelines, nomenclature, and breakpoints change regularly. EUCAST, CLSI, and national criteria must be applied consistently across laboratories.
Data from report to AMR surveillance
Fragmented formats and manual exports limit comparability. Laboratories, clinicians, and analytics need one continuous flow of validated data.
Core capabilities
ABioGram brings susceptibility result control, information-system exchange, and AMR surveillance into one operational workflow.
- Categorization and control of every result using current breakpoints and expert rules
- LIS/HIS integration via API or operation as a standalone web tool
- Real-time AMR surveillance and analytics based on validated antibiograms
- Reference support and process standardization for microbiologists and clinical pharmacologists
How ABioGram works
The system connects to the current laboratory workflow through the LIS/HIS or operates through its web interface.
- 01
Receives data
Uses pathogen identification, susceptibility results, and available metadata.
- 02
Categorizes results
Applies the selected guideline and the corresponding breakpoints.
- 03
Validates the report
Flags unusual combinations, discrepancies, and situations that require specialist attention.
- 04
Returns and accumulates
Sends the result to the LIS/HIS or web interface and stores validated data for AMR surveillance.
Key system differences
ABioGram is not a separate reporting utility. It becomes part of the continuous workflow of a laboratory, healthcare organization, or region.
| Objective | ABioGram | Limitation of standalone tools |
|---|---|---|
| Every report in the operational flow | Categorization, validation, and result generation happen without waiting for a periodic data export. | Validation or analytics starts after export and does not affect the current result. |
| Closed digital loop | The result returns to the LIS/HIS, reducing manual transfer and connecting the laboratory with the clinical workflow. | The solution remains a separate interface without automated delivery into the operational system. |
| Validated, comparable data | Common criteria and expert rules are applied to every result across the organization or network. | Reports rely on heterogeneous data that requires additional manual cleanup. |
| Real-time AMR surveillance | Metrics update as results arrive and remain available from patient and department level to a network or region. | Analytics is limited to retrospective reports or cannot drill down to source data. |
ABioGram combines control of every susceptibility result, LIS/HIS exchange, and AMR surveillance on validated data – from a single laboratory to a regional environment.
Technical capabilities
Criteria, expert rules, analytics, integration, and system operating conditions.
Supported guidelines and criteria
Categorization is available for the following guidelines:
- Russian Recommendations for Antimicrobial Susceptibility Testing, 2026
- Russian Recommendations for Antimicrobial Susceptibility Testing, 2025
- EUCAST Version 16, 2026
- EUCAST Version 15, 2025
- EUCAST Fungi, Version 12, 2025
- EUCAST Fungi, Version 11, 2024
- EUCAST Version 14, 2024
- EUCAST Fungi, Version 10, 2020
- CLSI M100, 2024
- CLSI M45
- CLSI M27M44S-ED3:2022
- EUCAST ECOFF
The criteria library is updated as new guidelines are released.
Expert rules and quality control
AMR surveillance and analytics
LIS/HIS integration
Deployment, scaling, and information security
Support and licensing
Reference implementation models

Regional healthcare system
A unified environment for regional healthcare organizations: automated validation of microbiology reports and real-time AMR surveillance.

National Medical Research Center
From manual summaries to validated data and real-time analytics.

Russia’s largest microbiology laboratory
56.5k reports in 3 weeks: automated susceptibility categorization, error detection, and online microbiological surveillance.

Laboratory of a major infectious diseases hospital
How a centralized bacteriology lab in a high-volume setting becomes an information hub.
Publications and evidence base
Scientific publications on surveillance methodology, the economic model, and experience with digital solutions.
Local AMR Monitoring in Healthcare Facilities: What Guidelines Agree On–and Where They Diverge
How Much Do Microbiology Errors Cost? An Economic Loss Model for Incorrect AMR Diagnostics and Irrational Antimicrobial Therapy
ABioGram Implementation Case: A Closed Digital AMR Surveillance Loop. How to Move from Manual Reports to Validated Data and Real-Time Analytics
Yamalo-Nenets Autonomous Okrug Experience: A Regional System for Automated Validation of Microbiology Reports and Real-Time AMR surveillance
Additional information about ABioGram
Upon request, we provide information about system capabilities, deployment options, and LIS/HIS integration.