Dialysis Patient Profiling Using Fluorescence Fluid Analysis
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Solution Overview
Problem
Conventional methods for determining dialysis patient characteristics, such as peritoneal transport status and kidney disease progression, are labor-intensive, time-consuming, and require extra clinic visits, leading to inefficiencies and potential errors.
Innovation Solution
A method using fluorescence analysis of patient fluids, combined with machine learning computational models, to determine patient profiles efficiently and accurately, including peritoneal transport status and disease progression, without the need for additional clinic visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional methods are used to determine dialysis patient characteristics, then measurement accuracy is maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated fluorescence spectroscopy analysis. The system uses fluorescence detectors and computational algorithms to automatically analyze dialysate samples, eliminating labor-intensive manual procedures while maintaining measurement accuracy through standardized optical detection protocols.
Solution Approach 2:
The patent introduces fluorescence spectroscopy as an intermediary measurement technique between the dialysate sample and the final patient characteristic determination. This intermediary method provides objective, quantifiable data that reduces subjective interpretation errors while streamlining the assessment process.
2Productivity
If conventional methods are used for patient assessment, then comprehensive data collection is achieved, but the number of clinic visits increases
Solution Approach 1:
The patent creates a multi-functional assessment system that evaluates multiple patient characteristics (transport status, disease progression, nutritional status) simultaneously through a single fluorescence analysis protocol. This universal approach consolidates multiple separate assessments into one efficient process, reducing the need for repeated clinic visits.
Solution Approach 2:
The patent uses fluorescence spectroscopy to analyze a broader range of molecular compounds than traditionally necessary for basic dialysis assessment. This excessive action in data collection provides comprehensive patient profiling in a single test, eliminating the need for multiple targeted assessments across different visits.
3Reliability
If manual analysis methods are used, then procedural simplicity is maintained, but error rates increase
Solution Approach 1:
The patent implements automated feedback loops where the fluorescence analysis system continuously calibrates measurements against reference standards and uses computational algorithms to correct for variations in sample conditions. This automated feedback mechanism reduces human error while managing system complexity through software-based control.
Solution Approach 2:
The patent transforms the analysis from qualitative manual assessment to quantitative fluorescence intensity measurements. By changing the measurement parameter from subjective visual inspection to objective optical signal detection, the system improves reliability while the automated data processing handles the increased complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a more efficient, accurate, and repeatable assessment of dialysis adequacy and renal disease status, reducing the number of clinic visits and minimizing health risks associated with conventional methods.
Implementation Method 1
generating patient information via fluorescence analysis of the patient fluid, the fluorescence analysis including fluorescence spectroscopy
Data Source
AI summary
Methods, apparatuses, and systems for determining patient dialysis profiles, for example, of peritoneal transport status or disease progression, are described. For example, in one embodiment, a method of determining a patient profile of a dialysis patient may include obtaining a volume of fluid associated with the dialysis patient, generating patient information via fluorescence analysis of the patient fluid, and determining the patient profile based on evaluating the patient information with a profile library, the patient profile comprising at least one of a peritoneal transport status classification or a disease progression. Other embodiments are described.