Cancer Therapy Smart Dosing for Patient-Specific Drug Interactions
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Solution Overview
Problem
Existing methods fail to effectively manage multiple drug interactions, particularly in cancer therapies, leading to potential harmful side effects and inefficiencies in dosing, as they do not account for complex drug-drug interactions and their impact on patient-specific factors.
Innovation Solution
An application and method that utilizes an input module, analysis module, and output module to track cancer therapy symptom triggers, analyze patient data including nutrition, medication, lifestyle, and symptoms, and adjust treatment plans based on this data to optimize dosing and minimize adverse effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard dosing methods are used for cancer therapies, then treatment can be administered simply, but drug interactions and patient-specific factors are not accounted for, leading to potential harmful side effects and reduced efficacy
Solution Approach 1:
The patent introduces a dosing management system that acts as an intermediary between standard dosing protocols and patient-specific factors. This system processes clinical study data, patient characteristics, and drug interaction information to generate personalized dosing recommendations, thereby mediating between simple standard dosing and complex individualized treatment requirements
Solution Approach 2:
The system dynamically adjusts dosing parameters based on patient-specific factors including age, weight, renal function, and concurrent medications. By changing dosing parameters in response to varying patient conditions and drug interaction profiles, the system achieves both safety and efficacy without requiring completely complex custom protocols for each patient
2Adaptability or versatility
If multiple drugs are taken for different indications, then comprehensive treatment coverage is achieved, but drug interactions cause unwanted and harmful side effects
Solution Approach 1:
The dosing management system performs preliminary analysis of potential drug interactions before administering multiple medications. By identifying and addressing potential harmful interactions in advance through data analysis and dosing adjustments, the system prevents rather than merely responds to adverse effects
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor patient response and adjust dosing recommendations accordingly. By analyzing outcomes and side effects in real-time, the system can modify dosing regimens to maintain comprehensive treatment coverage while minimizing harmful interactions
3Ease of operation
If individuals self-determine appropriate doses, then autonomy in treatment is increased, but inadvertent reactions with other drugs occur
Solution Approach 1:
The dosing management system empowers patients to actively participate in their own dosing decisions by providing them with accessible tools and information. Patients can input their own data and receive personalized dosing recommendations, enabling self-service while maintaining safety through algorithmic guidance based on comprehensive drug interaction databases
Data Source
AI summary
An application for tracking cancer therapy symptom triggers stored on non-transitory computer readable media including an input module for inputting variables from a user in electronic communication with an output variable module, an analysis module for analyzing input variables and output variables, and an output module for presenting results to the user. A method of tracking triggers of symptoms in cancer patients, by a user inputting data about nutrition, medication, lifestyle, symptoms due to cancer therapy, pain, and user defined metrics in an application stored on non-transitory computer readable media, performing an analysis on the data, and outputting a result from the data identifying daily activities that effect the user's symptoms due to cancer therapy. A method of adjusting treatment of a cancer patient.


