Medical Characterization System Integrating Continuous and Discrete Data
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Solution Overview
Problem
Current multi-parameter patient monitoring systems (MPMS) lack integration of test measurements, discrete data, and physiological information without a time reference, such as genetic information and previous diagnoses, and do not provide dynamic user control to determine the overall impact on patient characterization, limiting their ability to accurately assess a patient's medical condition over time.
Innovation Solution
A medical characterization system that includes a parameter generator, characterization processor, discrete data source, and analyzer, which generates a characterization timeline by combining continuous and discrete data, allowing for dynamic updates and user control to model the behavior of medical parameters over time, including the impact of therapies and test results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-parameter patient monitoring systems display multiple medical parameters and waveforms, then the system provides comprehensive physiological monitoring, but the system cannot integrate test measurements, discrete data, and physiological information without time reference
Solution Approach 1:
The patent merges continuous physiological parameters from sensors with discrete test measurements and historical medical data into a unified patient characterization. The system combines real-time monitoring data with lab results, genetic information, and previous diagnoses to create an integrated medical profile that updates as new data becomes available.
Solution Approach 2:
The monitoring system is designed to handle multiple types of medical data simultaneously - continuous physiological parameters, discrete test results, and historical records - through a single unified platform. This multi-functional approach allows the system to process diverse data sources without requiring separate specialized systems.
2Ease of operation
If the system provides comprehensive medical parameter monitoring, then it offers detailed physiological information, but it lacks dynamic user control to determine overall impact on patient characterization
Solution Approach 1:
The system provides dynamic user control where patients and clinicians can adjust which parameters are monitored and how they are displayed in real-time. The interface allows users to modify monitoring priorities, select specific data views, and control how new information updates the patient characterization without requiring complex reconfiguration.
3Loss of information
If the system integrates multiple data sources including genetic information and previous diagnoses, then it provides comprehensive patient characterization, but it cannot associate time elements with test measurements and discrete data
Solution Approach 1:
The system pre-processes and time-stamps all incoming data before integration, assigning temporal context to discrete test measurements and historical records in advance. This preliminary temporal tagging allows the system to later retrieve and correlate data points based on their time associations without adding complexity during real-time processing.
Data Source
AI summary
A medical characterization system is configured to input medical-related continuous parameters and discrete data so as to calculate a characterization timeline indicative of a physiological condition of a living being. A data source is in sensor communications with a patient so as to generate a continuous parameter. The data source also provides test data responsive to the patient at a test time. The test data is available to a characterization processor at a result time. The characterization processor is also responsive to the continuous parameter so as to generate a medical characterization as a function of time. A characterization analyzer enables the characterization processor to update the medical characterization in view of the test data as of the test time.