Geography-Based Antimicrobial Resistance Tracking System
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Solution Overview
Problem
Conventional systems for tracking antimicrobial resistance in hospitals do not effectively scale for community-based tracking, leading to inadequate information for community healthcare providers, resulting in overprescription of antibiotics and exacerbated resistance within communities.
Innovation Solution
A health information system that aggregates and provides geographic-specific antimicrobial resistance data from patient samples stored in network-connected datastores, allowing community-based healthcare providers to access up-to-date information on antimicrobial resistance trends in their region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hospital-based tracking systems are used, then resistance trends can be monitored within the facility, but the system does not scale to community-based tracking
Solution Approach 1:
The system uses a universal data collection framework that can operate at multiple levels - from individual hospitals to entire communities. The same technical infrastructure (datastore, query interface, geographic region determination) serves both hospital-based and community-based tracking, allowing the system to scale without requiring separate systems for each level.
2Loss of information
If geographic-specific antimicrobial resistance data is provided, then informed prescribing decisions can be made, but data aggregation from multiple sources is required
Solution Approach 1:
The system introduces an intermediary layer (the health information system with datastore and application server) that automatically aggregates data from multiple hospitals and laboratories. This intermediary handles the complexity of data collection, geographic region determination, and result compilation, while presenting simplified geographic-specific resistance information to healthcare providers through a standard query interface.
3Reliability
If broad-spectrum antibiotics are overprescribed, then treatment coverage is maximized, but antimicrobial resistance is exacerbated
Solution Approach 1:
The system implements a feedback loop where geographic-specific antimicrobial resistance data is continuously collected from patient samples, processed to determine resistance trends, and returned to healthcare providers. This feedback enables providers to adjust prescribing practices based on actual local resistance patterns, selecting antibiotics that are most likely to be effective in their specific community, thereby reducing unnecessary broad-spectrum antibiotic use and slowing resistance development.
Data Source
AI summary
Methods and apparatus for tracking antimicrobial resistance based on geography. An application server receives a query from a client application to provide antimicrobial resistance data for a geographic location. The application server determines a geographic region based, at least in part, on the geographic location included in the query, and antimicrobial data for samples collected from patients residing in the geographic region are retrieved from at least one health information datastore of a health information system. The retrieved antimicrobial data comprises information describing antimicrobial resistance of an infectious organism detected in the biological samples to at least one antimicrobial agent, and is transmitted to a client device on which the client application that issued the query is executing.