Remote Infusion Device Validation for APR Configuration Mismatches
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Solution Overview
Problem
Infusion devices often experience misalignment errors between automated programming requests (APRs) and device configurations, leading to rejected orders and requiring manual correction, which are not centrally catalogued and can only be discovered in clinical settings, causing inefficiencies and potential patient safety risks.
Innovation Solution
A system for remote scanning and validating clinical order device configurations, using a processor to transmit automated programming commands, generate graphical user interface images, and store programming responses for centralized error identification and data updating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated programming requests (APRs) are used to configure infusion devices, then programming efficiency is improved and manual input errors are reduced, but misalignment errors between APR parameters and device configurations occur causing order rejections
Solution Approach 1:
The system performs preliminary validation of APR parameters against device configurations before actual programming execution. By pre-checking parameter compatibility and identifying misalignment errors in advance, the system prevents order rejections and ensures smooth automated programming operations.
Solution Approach 2:
The system implements a feedback mechanism that monitors APR processing outcomes and identifies misalignment errors. When parameter mismatches are detected, the system provides feedback to correct the APR parameters or device configurations, enabling continuous improvement of automation reliability.
2Object-affected harmful factors
If misalignment errors are discovered in clinical settings during device programming, then patient safety may be compromised, but centralized error cataloging and real-time discovery mechanisms are not in place
Solution Approach 1:
The system establishes a centralized feedback loop that collects error data from multiple infusion devices in real-time. Misalignment errors are automatically captured, cataloged, and analyzed centrally, enabling proactive identification of systematic issues before they impact patient safety.
Solution Approach 2:
The centralized error cataloging system serves multiple functions: it tracks misalignment errors across different device types, analyzes error patterns, provides corrective actions, and prevents recurrence. This universal system benefits the entire healthcare network by transforming isolated errors into actionable insights.
3Productivity
If device configurations are not validated against APR parameters, then operational efficiency is maintained, but manual corrections are required increasing time consumption and labor requirements
Solution Approach 1:
The system performs preliminary validation of device configurations against APR parameters before programming execution. By pre-identifying misalignment errors and enabling automatic corrections, the system eliminates the need for time-consuming manual interventions and maintains continuous operational efficiency.
4Difficulty of detecting and measuring
If centralized error cataloging and real-time validation systems are implemented, then error detection capability is improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The centralized validation system is designed to handle multiple functions: error detection, data cataloging, pattern analysis, and corrective action generation. By consolidating these functions into a single platform, the system achieves high error detection capability without proportionally increasing overall system complexity.
Data Source
AI summary
A system for scanning and validating clinical order device configurations is disclosed. A test instance of an infusion device is created based on a request, and an automated programming command is transmitted to the test instance. The automated programming command includes validation information for validating clinical order data, and a programming response is generated by the test instance based on the automated programming command, and provided for storage in a records system. In some implementations, the response includes an image, or reference to the image, of a graphical user interface that would be presented by the infusion device configured according to the validation information.


