Medical Treatment Correlation System for Patient Compliance
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Solution Overview
Problem
Patients lack the capability and data to track their medical treatment progress and side effects effectively, leading to poor compliance and increased healthcare costs due to the absence of meaningful feedback and comparison with expected results.
Innovation Solution
A method and system that correlates medical treatment data with patient-specific experiences, providing visual and comparative data to patients, allowing them to track their progress against expected outcomes and side effects, enabling better adherence to treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If patients manually track treatment data using diaries or spreadsheets, then they can record their treatment experiences, but they lack the capability to compare their results against expected or average results
Solution Approach 1:
The patent introduces an intermediary system (computer-based platform with database and processing algorithms) that mediates between the patient's manual data entry and the desired analytical capabilities. This intermediary automatically processes, stores, and compares treatment data against expected outcomes, eliminating the need for patients to possess complex data analysis skills while still providing comprehensive comparative insights.
Solution Approach 2:
The system enables patients to self-service by manually entering their treatment data through simple interfaces (diaries, spreadsheets, or electronic forms), while the automated backend infrastructure handles the complex tasks of data validation, storage, normalization, and comparative analysis against population data, freeing patients from the burden of complex data processing.
2Loss of information
If patients seek information from secondary data sources like the Internet, then they can obtain treatment information, but the information is often inconsistent, contradictory, and not specific to their individual case
Solution Approach 1:
The patent applies local quality by providing customized, patient-specific treatment expectation data tailored to each individual's specific treatment protocol, condition, and demographic characteristics. Rather than providing generic internet information, the system delivers localized, personalized expected outcomes and side effect profiles that match the patient's specific situation, thereby ensuring both relevance and reliability.
Solution Approach 2:
The system performs preliminary action by pre-calculating and storing expected treatment outcomes, side effects, and progress trajectories based on clinical trial data and population statistics before the patient begins treatment. This pre-computed reference data is then automatically compared against the patient's actual experiences, providing immediate feedback without requiring patients to search through unreliable internet sources.
3Ease of operation
If patients do not receive continuous feedback on treatment progress, then the treatment program can be simple to administer, but patient morale deteriorates and compliance decreases
Solution Approach 1:
The patent implements continuous feedback mechanisms where the system automatically compares the patient's entered treatment data against expected outcomes and provides real-time or periodic feedback on progress. This feedback includes visual displays showing whether the patient is meeting expected milestones, experiencing typical side effects, and achieving treatment goals, thereby maintaining morale and compliance without requiring complex administrative overhead.
Solution Approach 2:
The system employs periodic action by providing feedback at regular intervals (e.g., weekly, monthly, or at treatment milestones) rather than requiring continuous monitoring. This periodic feedback structure maintains patient engagement and morale while keeping the treatment administration simple and not overly burdensome for either patients or healthcare providers.
4Ease of operation
If patients cannot visualize their treatment data in a meaningful way, then data collection can be simple, but patients cannot understand their progress or compare results effectively
Solution Approach 1:
The patent utilizes color changes and visual displays to represent treatment progress and outcomes. The system generates graphical representations such as charts, graphs, and visual indicators that show patients their progress relative to expected outcomes, with colors indicating different levels of progress, side effect severity, or treatment adherence. This visual feedback makes complex treatment data easily interpretable without complicating the data collection process.
Data Source
AI summary
A method and system for correlating medical treatments with symptoms and metrics includes a process for correlating medical treatments with symptoms and metrics whereby treatment implementation data regarding what medical treatments are prescribed/recommended, and/or employed/implemented by the patient, and when and how the treatments are implemented over a given time frame, is obtained. Patient's specific treatment experience data is also collected that represents the patient's specific treatment experience with, and/or specific results from, the medical treatment over the same time frame. The patient is then provided with processed data correlating the patient's specific treatment experience data with the patient's medical treatment implementation data.