Pain Assessment Circuitry Using Physiological Data Trends
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Solution Overview
Problem
Current pain management systems face challenges in accurately assessing pain, especially in non-verbal patients, leading to inconsistent results and potential complications from under or over-administration of pain medication.
Innovation Solution
A compute device with circuitry that obtains patient state data from monitor devices and medication schedules to determine pain levels, administer medication, and alert caregivers, while also monitoring for opioid-induced respiratory distress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If patient pain is assessed using conventional verbal reporting methods, then the assessment can be conducted with simple equipment, but the measurement precision and reliability are poor due to subjectivity and patient limitations
Solution Approach 1:
The patent uses an intermediary computational system that processes physiological data from multiple monitors to indirectly assess pain levels. Instead of directly measuring pain, the system uses heart rate, respiration rate, and movement data as intermediary indicators that correlate with pain states, thereby improving measurement precision without requiring direct pain measurement devices.
Solution Approach 2:
The system integrates multiple existing patient monitor functions (heart rate monitoring, respiration monitoring, movement detection) into a unified pain assessment tool. By making the monitoring system multi-functional, it can simultaneously perform traditional vital sign monitoring and pain assessment, reducing the need for separate specialized equipment.
2Reliability
If pain medication is administered based on subjective patient reports, then the administration process is simple and quick, but the reliability of pain management is poor leading to under or over-administration
Solution Approach 1:
The system implements continuous feedback by monitoring physiological parameters in real-time and automatically adjusting pain management recommendations. The computational system processes ongoing data from patient monitors and provides feedback to caregivers about current pain levels and medication needs, improving reliability through continuous verification rather than periodic subjective assessment.
Solution Approach 2:
The system performs preliminary analysis of physiological trends to predict future pain levels and medication needs before actual pain episodes occur. By analyzing patterns in heart rate, respiration, and movement data, the system can anticipate when pain medication will be needed, allowing for proactive rather than reactive pain management.
3Measurement precision
If conventional pain assessment methods are used, then the system remains simple to operate, but the measurement results are inconsistent and cannot accurately predict future pain levels
Solution Approach 1:
The computational system automatically performs data collection, analysis, and pain assessment without requiring manual intervention from caregivers. The system self-services by gathering physiological data from connected monitors, processing the information through algorithms, and generating pain level assessments autonomously, maintaining ease of operation while improving measurement precision.
Data Source
AI summary
A compute device may include circuitry configured to obtain patient state data that may be indicative of a heart rate of the patient or a respiration rate of the patient. The circuitry may also be configured to obtain patient medication data indicative of a schedule for administration of pain medication to the patient. Further, the circuitry may be configured to determine whether a trend in the patient state data satisfies a predefined condition, determine whether the patient medication data indicates that the patient is due for administration of pain medication within a predefined time period, determine, in response to a determination that the trend in the patient state data satisfies the predefined condition and a determination that the patient is due for administration of pain medication within the predefined time period, that the patient is experiencing pain, and produce an alert signal that the patient is in pain.