AutoMated tool for Antimicrobial resistance Surveillance System version 4.0 (AMASS4.0)

Release date: 14 January 2026Below is a list of features that we have incorporated in AMASS 4.0 build 4028Recommended computer specificationsOperating System: Windows 11 is recommended (Windows 7 SP1 or later may be possible depending on other specific conditions)Architecture: 64-bit only (AMASS 4.0 is not compatible with 32-bit Windows. For Windows 11, it is available only in a 64-bit architecture. For other Windows, please check at Windows specifications from your laptop.)Memory (RAM): At least 16 GB is recommended (minimum is 8 GB)Main analysis\n1. We have added 3 annexes including\n - Annex D: AMU;\n - Annex E: Epidemiology of bloodstream infection; and\n - Annex F: AMASS-FUNGI (i.e. fungal infection);\n2. We have improved Annex A report by reporting notifiable bacterial infections based on (a) microbiology data and (b) hospitalized patient information;\n3. We have left processed data files (containing patient identifiers) in the folder named “Report_with_patient_identifiers” so that users can use the processed data files for any further analysis and internal usage after using the AMASS.;\n4. We have left summary files (no patient identifiers) including AMR surveillance report, supplementary data reports for annex B - D, and other summary data files in the folder named “ResultData” so that users can use/share these summary results for any further analysis and internal/external usage after using the AMASS.;Technical aspectsWe have expanded and updated 4 dictionary files including (a) dictionary for hospital admission data, (b) dictionary for microbiology data, (c) dictionary for wards and (d) dictionary for drug data files;We have allowed wildcard mapping to values in dictionaries for microbiology and drug data;We have improved python version for technical enhancement;We have improved data verification logfile report;We have added data verification logfile report for Annex D;We have revised the text and corrected bugs encountered during data translation and analyzes.AutoMated tool for Antimicrobial resistance Surveillance System (AMASS) was developed as an offline, open−access and easy−to−use application that allows a hospital to perform data analysis independently and generate antimicrobial resistance (AMR) surveillance reports stratified by infection origin from routinely collected electronic databases. The application was built in Python, which is a free software environment. The application has been placed within a user−friendly interface that only requires the user to double−click on the application icon.AMASS performs data analysis and generates reports automatically. The raw data files required are hospital admission, microbiology, and drug databases. Firstly, the application translates and de-duplicates the microbiology data file, and produces the AMR surveillance reports without stratification by infection origin (Sections 1 - 2). Secondly, the application then merges the microbiology and hospital admission data files, analyzes the merged data, and produces the AMR surveillance reports with stratification by infection origin (Sections 3 - 5). Next, the application performs a statistical analysis to estimate all−cause mortality of patients following AMR infection (Section 6). Then, the application analyzes and generates reports on notifiable bacterial infection (Annex A), data indicators (Annex B), cluster signals (Annex C), antimicrobial use (Annex D), epidemiology of bloodstream infection (Annex E) and fungal infection (Annex F). AMASS uses a tier-based approach. For example, in cases that only the microbiology data file with the results of culture positive samples is available, only the AMR surveillance report without stratification by infection origin will be generated.Further details on how to use the application can be found at https://www.amass.website.