DATA CHALLENGET - Development of a Web-Based Antimicrobial Resistance (AMR) Data Analysis and Reporting Tool

Topic: Development of a Web-Based Antimicrobial Resistance (AMR) Data Analysis and Reporting Tool

Background:

Antimicrobial resistance (AMR) surveillance in developing countries faces challenges like weak lab infrastructure, limited trained staff, poor communication, and inadequate data management. These hinder timely, accurate tracking of resistance, leading to ineffective interventions. Our tool addresses these gaps by automating data standardization and visualization, enabling faster, clearer AMR insights to support better clinical and public health decisions.

Research Objectives

1. To design a web-based platform that transforms raw AMR data into real-time, actionable insights.
2. To streamline the generation of interactive dashboards and standardized reports for clinical and administrative use.
3. To integrate AI-driven features for future prediction, natural language querying, and treatment guidance.

Method:

A full-stack software solution will be developed using Python (Flask) for backend data processing and React for frontend visualizations. The platform will process CSV/Excel datasets, standardize them using adaptive schema mapping, and present insights via dynamic dashboards. We intend to utilize datasets contained in the Vivli AMR register to train, test, and refine the tool’s features. Key integrations will include compatibility with WHONET, EHR systems (HL7/FHIR), and global resistance databases.

Key steps include:

• Data Standardization & Cleaning: Harmonize diverse file formats, normalize metrics, and anonymize patient data.
• Dashboard Development: Create interactive charts, heatmaps, and antibiograms with filtering by organism, facility, and time.
• Automated Reporting: Enable one-click export to PDF, CSV, and PNG formats using templated designs.
• AI & NLP Roadmap: Prototype features such as natural language queries (“Show E. coli trends in ICU”) and outbreak alerts.
• Deployment & Testing: Launch on Netlify (frontend) and Render (backend) with pilot testing in clinical settings.

Impact

The tool will enhance the capacity of healthcare professionals and public health institutions to make data-driven decisions and it will support more timely and targeted antimicrobial stewardship interventions.