Endoscope Provisioning Risk Model for Reprocessing Cross-Contamination
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Solution Overview
Problem
Existing methods fail to effectively manage the risk of horizontal or lateral cross-contamination of medical instruments during reprocessing and transport, which can lead to the transfer of problematic pathogens between instruments, posing significant health risks.
Innovation Solution
A computer-implemented method estimates cross-contamination risk by collecting and analyzing data on medical instrument usage, reprocessing modalities, and patient pathogen status to determine contamination probabilities, using binary indicators and cross-contamination factors, and applies threshold risk levels to identify and exclude contaminated instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If medical instruments are reused after reprocessing, then productivity is improved, but the risk of cross-contamination increases
Solution Approach 1:
The system implements continuous monitoring and risk assessment by tracking instrument usage history, reprocessing records, and patient data. The contamination risk model continuously evaluates new data and updates risk levels, providing feedback that triggers alerts or exclusions when thresholds are exceeded, thus enabling safe reuse while preventing cross-contamination
Solution Approach 2:
The system performs preliminary risk assessment before each instrument reuse by evaluating the contamination probability based on historical data and reprocessing modalities. Instruments are pre-screened and flagged if they pose a contamination risk, allowing proactive management before actual patient use occurs
2Measurement precision
If comprehensive data collection and analysis are implemented to detect cross-contamination, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The risk assessment system serves multiple functions: it tracks instrument usage, monitors reprocessing compliance, evaluates contamination risk, generates alerts, and maintains exclusion lists. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated platform, managing complexity while enhancing detection precision
Solution Approach 2:
The contamination risk model acts as an intermediary layer between raw data collection and clinical decision-making. It processes complex multi-source data (usage patterns, reprocessing records, patient information) through standardized probability calculations, transforming heterogeneous data into actionable risk assessments without requiring direct complex integration of all underlying systems
Data Source
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AI summary
Provided is a computer-implemented method of estimating a risk that a medical instrument has been cross-contaminated with a problematic pathogen, comprising: obtaining data identifying a plurality of medical instruments provided in a facility; obtaining data representing use of some or all of the plurality of medical instruments in a plurality of first procedures on a plurality of first patients; storing in a database, for each of the used medical instruments, first data identifying the patient on which the medical instrument has been used; reprocessing the used medical instruments; - storing in the database, for each of the reprocessed medical instruments, second data identifying at least one reprocessing modality; determining, for each of the plurality of first patients, a first indicator representing whether a respective first patient carries a problematic pathogen; defining, for each reprocessing modality, a first cross-contamination probability factor representing the probability that a problematic pathogen is transferred from a first medical instrument carrying a problematic pathogen to a second medical instrument not carrying the problematic pathogen while the first and second medical instruments share the same reprocessing modality; and combining the first indicators, the first data, the second data, and the first cross-contamination probability factors to determine, for each of the reprocessed medical instruments, a contamination probability that the respective medical instrument carries the problematic pathogen. Further provided is a medical instrument provisioning system.