AMASS Featured in the FAILSAFE Online Workshop

The AMASS team joined the online workshop "Exploring AMASS for AMR Surveillance," hosted under the FAILSAFE project. Prof. Direk Limmathurotsakul served as the instructor, introducing participants to AMASS and demonstrating how it can strengthen antimicrobial resistance (AMR) surveillance using routine hospital data. The session also showcased the new features in AMASS version 4.0, including expanded reporting on bloodstream infections and the new fungemia (fungal bloodstream infection) epidemiology report.

Link: https://cmm-failsafe.com/workshop-exploring-amass-for-amr-surveillance/

The two days’ workshop onsite for AMASS 4.0

AMASS team, in collaboration with the ministry of Public Health Thailand, organized the online meeting for introduction the AMASS 4.0 to all participants hospitals in Thailand. 

AMASS 4.0 implemented in 134 hospitals in Thailand

AMASS team, in collaboration with the ministry of Public Health Thailand, organized the online meeting for introduction the AMASS 4.0 to 134 hospitals in Thailand. 

AMASS version 4.0 is now available to download

The current version of the AMASS application provides the updates including.

1. We have added 3 annexes including

• Annex D: AMU
• Annex E: Epidemiology of bloodstream infection
• Annex F: AMASS-FUNGI (i.e. fungal infection)

2. We have improved Annex A report by reporting notifiable bacterial infections based on (a) microbiology data and (b) hospitalized patient information

3. 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.

4. 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.

5. We 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

6. We have allowed wildcard mapping to values in dictionaries for microbiology and drug data

7. We have improved python version for technical enhancement