AMR Sentinel

Inspiration

Antimicrobial resistance (AMR) is one of the most urgent threats to modern medicine. Pharmaceutical companies invest billions of dollars and over a decade to develop new antibiotics, yet promising candidates often fail due to unexpected resistance patterns.

We were inspired to create a solution that empowers pharma teams with proactive, actionable insights, rather than waiting for static, delayed reports from WHO, CDC, or other sources.
Our goal: detect resistance threats early and guide decision-making to protect drug pipelines and clinical trials.

What it does

AMR Sentinel is a Tableau Next-powered platform that continuously monitors antimicrobial resistance trends and provides prescriptive insights.

Detects emerging threats in real time using time-series and geospatial analyses
Highlights high-risk pathogens, regions, and drug classes in intuitive dashboards
Provides actionable recommendations for pharma teams—such as adjusting trial site strategies or prioritizing backup compounds—directly within the dashboards

It transforms raw phenotypic surveillance data into clear, decision-ready intelligence for R&D, clinical, and stewardship teams.

How we built it

Data Modeling

Created a synthetic dataset (10,000–50,000 records) with Region, Clinical Trial Site, Pathogen, Drug Class, Resistance %, and Pipeline Impact Score
Published it as a trusted Tableau Next data source optimized for trend and anomaly detection

Proactive Detection (Inspector)

Configured time-series and geospatial analyses to flag sudden spikes and unusual resistance trends
Example: rapid carbapenem resistance growth near Phase III trial sites

Prescriptive Recommendations (Concierge + Optional Einstein Discovery)

Embedded natural-language insights in dashboards to guide actionable decisions

Visualization

Built executive-ready dashboards with heatmaps, trend lines, and anomaly markers
Ensured all insights are interpretable at a glance, balancing detail and clarity

Challenges we ran into

Creating realistic synthetic data that mimicked real-world resistance trends
Translating complex biological and clinical patterns into clear, actionable recommendations
Dashboard clarity: balancing comprehensive insights with user-friendly visuals
Integrating detection, trends, and prescriptive recommendations in a single dashboard

Accomplishments that we're proud of

Delivered a fully functional, executive-ready dashboard combining detection, trends, and recommendations
Demonstrated true agentic analytics within Tableau Next—going from detection to action without external tools
Created a hackathon-ready proof-of-concept extensible to real-world datasets
Showcased high-impact visual storytelling, including geospatial heatmaps and anomaly trends

What we learned

Tableau Next Inspector and Concierge are powerful for detecting and acting on emerging trends
Intuitive dashboards significantly increase adoption and decision-making speed
Structured, realistic data is essential for trustworthy analytics—even when synthetic
Analytics can be prescriptive, not just descriptive, directly influencing business and clinical decisions

What's next for AMR Sentinel

Integrate real-world surveillance data from public and partner sources for improved accuracy
Enhance recommendations with predictive modeling and advanced Einstein Discovery insights
Expand dashboards to include scenario simulations and “what-if” analyses for trial planning
Explore cross-team workflow automation to reduce response time during resistance spikes