QAAPT is a free web-based platform developed by CAPTURA for the analysis of AMR data.

Welcome to QAAPT

QAAPT, which stands for Quick Analysis of Antimicrobial Patterns and Trends, is a free, web-based tool for visualizing antimicrobial resistance data. Developed by the Capturing Data on Antimicrobial Patterns and Trends in Use in Region of Asia (CAPTURA) project which has been funded by the UK Government Fleming Fund Regional Grant.
QAAPT is designed for use by decision-makers, including healthcare professionals, national AMR coordinators, microbiologists, technologists, and practitioners involved in AMR surveillance or microbiology laboratory work. It seamlessly integrates with WHONET software, allowing for the direct importation of WHONET SQLITE and CSV files. Moreover, QAAPT's 'qLoad' data conversion module enables the conversion of ANY LIS datasets, while its web application programming interface (API) and interoperability facilitates integration with live surveillance dashboards or health/laboratory information systems. Read more: Click here.
QAAPT Antibiogram
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Why Should I use QAAPT?

A free of charge tool

QAAPT is completely free to use. You donโ€™t need to pay any fees or have IT knowledge to get started with it.

No hardware or server

QAAPT is a cloud-based platform, so thereโ€™s no need to purchase additional hardware or maintain servers.

No Technical Expertise Required

Easily import, process, and curate raw data without needing any technical expertise.

Available Resources

QAAPT offers a range of step-by-step learning materials to help you get started, no matter your experience level. Feel free to explore documentations.

Data Security

We use industry-standard measures to protect your data from unauthorized access, misuse, or disclosure, ensuring top-tier security.

Data Sharing

QAAPT ensures strict data sharing and privacy, preventing users from viewing data or information from others or different facilities.

Data Retention

We offer a permanent data deletion option that removes any dataset from the platform. Once deleted, the data is gone forever.

User Rights

You have full control over your data. This includes rights to access, modify, delete, and withdraw consent for any data processing at any time.
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Core Functionalities

Manage Multiple Projects & Datasets

Upload and manage multiple datasets, including WHONET and LIS exports, all within QAAPT.

Import WHONET Dataset

Upload WHONET datasets in SQLite or CSV format, with easy export options via SQLite Browser.

Import Any LIS Dataset

Convert and upload raw LIS data in Excel or CSV format for seamless integration.

Live System Integration

Easily connect LIS/HIS/EMR systems with QAAPT through its powerful API.

Single-Window Dashboard

Generate dashboards with advanced filters for quick, insightful data analysis.

Automated Clinical Categories

Determine R/I/S categories and inhibition zone diameters automatically.

Advanced Filtering Options

Search and filter data based on organisms, specimens, and other criteria.

Export Reports in Multiple Formats

Download reports as PNG, JPG, EXCEL, CSV, PDF, or tables as needed.

Track Resistance Trends

Visualize resistance patterns over time for more informed decision-making.

Monitor Susceptibility Trends

Observe susceptibility changes in multiple organisms over specific periods.

One-Click Antibiogram

Create hospital antibiograms instantly to track antibiotic effectiveness.

Facility Comparison Map

Compare facility data globally, including organism prevalence and statistics.

AI-Powered Query Generation

Use Generative AI and NLP to generate queries from natural language inputs.

Predictive Resistance Modeling

Leverage machine learning to forecast antibiotic resistance patterns.
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NEQA Module

supports microbiology laboratories in registering their facilities, enrolling users, submitting proficiency test results, and generating a scoring dashboard.

Laboratory Registration

Laboratory User Enrollment

Antibiotic Panel Preparation

Bacterial and Reference Strains

New Test Management

Expected Interpretation Mgt.

Data Collection by Strain ID

Dashboard Reporting and Scoring

How it works

Motivations

Why We Developed QAAPT

From 2019 to 2023, during CAPTURA Phase I, we analyzed 2.37 million records from seven countries using QAAPT and WHONET. This work exposed major gaps in how antimicrobial resistance (AMR) data is collected, managed, and visualized.
  • AMR data comes from different sources and formats, making it hard to manage.
  • Privately owned LIS and HIS systems create integration challenges.
  • No dedicated tool existed for powerful AMR data visualization.
  • Microbiology and IT must work together, but often lack a common platform.
  • Stronger AMR surveillance systems are needed for better global health insights.
QAAPT Data Visualization

QAAPT Design Principle

Agile Development

Utilizing iterative and incremental development methodologies to adapt quickly to changing requirements and provide continuous improvements.

Microbiology First

Prioritizing microbiological accuracy and relevance in the design and functionality of the system.

Flexibility

Ensuring the system is adaptable to various use cases, data sources, and user needs.

Usability

Focusing on user-friendly interfaces and ease of use to enhance user experience and efficiency.

Interoperability

Guaranteeing seamless integration with other systems and platforms to facilitate comprehensive data exchange.

Steps to start

Step 1
Dataset

Export WHONET/LIS/Excel Dataset

QAAPT enables you to export WHONET datasets from the "Data Analysis" module or via the SQLite Database Browser. Ensure that your CSV file includes the following fields: Unique ID, Age, Sex, Specimen Name, Specimen Date, Organism, and AST results.
Step 2
QAAPT

QAAPT Laboratory Registration and Login

Register your laboratory to access QAAPT. Upon successful registration, you will receive your login credentials. QAAPT operates as a restricted, permission-based system, ensuring secure access to your data. Before completing your registration, please review the Privacy Policy .
Step-3
qLoad

Dataset Import

Access the qLoad module to upload your dataset. Supported formats include:
  1. 1. WHONET .sqlite file
  2. 2. WHONET .csv file exported via SQLite Browser
  3. 3. Datasets exported from LIS or Excel files
  4. 4. Vitek 2 dataset integration
  5. 5. Live dashboard integration
Step-4
Dashboard

Generate Reports

The dashboard enables you to generate various reports, including demographic analysis, trend evaluation, resistance patterns, antibiograms, and custom report generation.
Step 5
Get Started

Begin Your QAAPT Journey

Ready to explore QAAPT? Register your laboratory today and unlock powerful data analysis, reporting, and visualization tools.

Recent publications


QAAPT - Frontiers in Microbiology

Published Article: ๐Ÿ“– Read Full Article

Citation: Sujan MJ, Gautam S, Aboushady AT, Clark A, Kwon S, Joh HS, Holm M, Stelling J, Marks F, and Poudyal N (2025). QAAPT: an interoperable web-based open-source tool for antimicrobial resistance data analysis and visualization. Front. Microbiol. 16:1513454.
DOI: 10.3389/fmicb.2025.1513454

๐Ÿ“… Received: 18 October 2024   |   โœ… Accepted: 03 January 2025   |   ๐Ÿ“ข Published: 07 February 2025


๐Ÿ“„ QAAPT Publication PDF: