Infusion Device Configuration Validation for APR Misalignment
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Solution Overview
Problem
Infusion devices often experience misalignment errors due to automated programming requests (APRs) that are not discovered until the device is being programmed in a clinical setting, leading to potential errors in medication delivery, which are not centrally catalogued and require manual correction.
Innovation Solution
A system for remote scanning and validating clinical order device configurations, including a processor and non-transitory computer-readable medium to identify and catalogue APR misalignment errors in real time across multiple devices, updating drug libraries with corrected data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated programming requests (APRs) are used to pre-program infusion devices, then programming efficiency is improved and the number of manual input steps is reduced, but misalignment errors between system configurations and device settings occur undetected until clinical use
Solution Approach 1:
The system performs preliminary validation of automated programming requests by creating test instances and executing validation algorithms before actual clinical deployment. This advance checking identifies misalignment errors between APR configurations and device settings prior to patient use, preventing undetected errors from reaching clinical practice while maintaining the efficiency benefits of automated programming.
Solution Approach 2:
The system creates virtual test instances that replicate the configuration and behavior of actual infusion devices. These copies allow validation of APR misalignment errors without affecting real patient care operations. The test instances mirror device settings, drug libraries, and operational parameters to accurately simulate clinical scenarios and detect configuration mismatches.
2Adaptability or versatility
If manual programming is required as backup for APR failures, then configuration flexibility is maintained, but time loss and potential for human error increase
Solution Approach 1:
The validation system provides feedback about APR misalignment errors to clinicians before clinical deployment. When validation identifies configuration mismatches between APR requests and device settings, the system alerts users and prevents erroneous programming. This feedback loop maintains configuration flexibility by allowing clinicians to review and adjust settings while eliminating the time loss associated with discovering errors during actual patient care.
3Device complexity
If APR misalignment errors are not centrally catalogued, then system complexity is reduced, but error detection and correction capabilities are limited to individual devices
Solution Approach 1:
The system merges validation capabilities across multiple infusion devices into a centralized validation database. Test instances from different devices contribute validation data that is aggregated and analyzed collectively. This consolidation enables detection of systematic APR misalignment errors that affect multiple devices, improving error detection capability without significantly increasing individual device complexity since the validation infrastructure is shared across the device fleet.
Data Source
AI summary
A system and method for validating clinical 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.