Sensor-Feedback Drug Administration for Adaptive Dosing
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Solution Overview
Problem
Existing drug administration systems face challenges in optimizing drug dosing schemes due to human errors, lack of patient compliance, and failure to account for factors affecting patient response, leading to adverse effects or ineffective drug administration.
Innovation Solution
A drug administration system with a communications interface and sensors that adjust drug dosing schemes based on real-time sensor data, environmental conditions, and user input to optimize drug delivery parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a starting drug dosing scheme is established by a doctor based on dosing data, then the drug administration provides a baseline treatment, but the dosing scheme is not optimal and does not account for factors affecting patient response that change over time
Solution Approach 1:
The system continuously monitors patient response to the drug dosing scheme and uses this feedback to automatically adjust dosing parameters. Sensors detect physiological changes and communicate them to the drug administration device, which modifies the dosing scheme in real-time to optimize effectiveness while accounting for changing patient conditions.
Solution Approach 2:
The dosing scheme transitions from a static, doctor-prescribed regimen to a dynamic, automatically adjusting protocol. The system adapts dosing parameters based on real-time sensor data about patient response, allowing the treatment to evolve with changing patient conditions without requiring continuous medical intervention.
2Reliability
If the patient monitors their response and factors affecting response to work extensively with doctors to optimize the dosing scheme, then the dosing scheme can be optimized, but this requires heavy patient compliance and accurate, regular monitoring which may not be achieved
Solution Approach 1:
The system enables self-service optimization where the drug administration device automatically monitors patient response and adjusts dosing parameters without requiring active patient involvement or extensive communication with doctors. The device performs the optimization function that would otherwise require diligent patient self-monitoring and medical follow-up.
Solution Approach 2:
Automatic feedback loops replace manual patient monitoring. Sensors continuously track patient response and feed this information back to the control system, which automatically adjusts dosing. This eliminates the need for patients to manually monitor and report their responses to doctors.
3Measurement precision
If a patient is required to monitor a large number of factors and calculate dosing scheme adjustments, then accurate dosing optimization can be achieved, but the complexity increases and patients may fail to take proper account of all necessary factors
Solution Approach 1:
The system merges multiple monitoring functions and calculation operations into a single integrated drug administration device. Instead of requiring patients to track numerous separate factors, the device combines sensor inputs, data processing, and dosing calculation into one automated system that handles all complexity internally.
Solution Approach 2:
Manual patient monitoring and calculation operations are replaced by automated electronic sensing and processing systems. The device uses sensors and computer algorithms to perform the complex measurements and calculations that would otherwise require patient effort and expertise.
4Reliability
If human error and mistakes occur in following drug administration guidance, then adverse effects on the patient or inappropriate drug administration can result, but automated monitoring and adjustment can prevent these errors
Solution Approach 1:
Real-time feedback from sensors monitors actual patient response and drug delivery, allowing the system to detect and correct potential errors before they result in adverse effects. The automated feedback loop ensures guidance is followed precisely without human intervention.
Solution Approach 2:
The system performs self-monitoring and self-correction of dosing parameters without human intervention. The device automatically detects deviations from the optimal dosing scheme and adjusts itself, eliminating human error in following administration guidance.
Data Source
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AI summary
In general, systems for administering a drug are provided. In an exemplary embodiment, a drug administration system includes a drug administration device configured to communicate with a computer system and at least one sensor configured to obtain sensor data and communicate the sensor data to the drug administration device. The drug administration device is configured to utilize a first drug dosing scheme when a drug is delivered to a patient, determine a second drug dosing scheme for delivering a drug to the patient dependent on dosing data from the computer system and sensor data collected by the sensor during and/or after the delivery of the first drug according to the first drug dosing scheme, and utilize the second drug dosing scheme when the drug is delivered to the patient.