Patient Model Interface for Personalized Therapy
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Solution Overview
Problem
Current systems lack an effective patient-specific interface for inputting information about patient events or conditions to determine corresponding therapy information, such as drug administration, carbohydrate intake, and exercise recommendations, which are not tailored to individual physiological responses.
Innovation Solution
A method and system that develop a patient interface using a patient model to simulate physiological responses, collect patient-specific data, and define a graphical interface to map input information to therapy information, including drug administration, carbohydrate intake, and exercise recommendations, based on a constrained minimization problem to regulate physiological responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a generic therapy system is used, then device complexity is reduced, but therapy information is not tailored to individual patient needs
Solution Approach 1:
The system performs preliminary actions by collecting patient-specific information over time and developing a personalized patient model before therapy delivery. This includes gathering data on patient events, conditions, and physiological responses, then using this data to create a customized interface and therapy recommendations specific to each patient's needs.
Solution Approach 2:
The patient interface is dynamic and adapts based on collected patient data. The system continuously updates the patient model and adjusts the graphical interface, input parameters, and therapy information based on actual patient responses and accumulated information, making the system increasingly personalized over time.
2Measurement precision
If detailed patient-specific data collection is implemented, then therapy information accuracy is improved, but loss of time increases
Solution Approach 1:
The system collects patient-specific information over time in advance, building a comprehensive patient model before critical therapy decisions are made. This preliminary data accumulation allows for accurate, personalized therapy recommendations without delaying time-sensitive treatment interventions.
Solution Approach 2:
The system uses feedback from actual patient responses and collected data to continuously refine the patient model and improve future therapy recommendations. This feedback mechanism allows the system to learn from past data, reducing the time needed for accurate assessment over time while maintaining high precision.
3Manufacturing precision
If a complex graphical interface with multiple parameters is created, then mapping precision is improved, but ease of operation decreases
Solution Approach 1:
The graphical interface is customized for each patient based on their specific needs, events, and conditions. The system identifies which input parameters are most relevant to each individual patient and configures the interface to highlight those specific parameters, rather than presenting all possible parameters uniformly to all users.
Solution Approach 2:
The system performs preliminary analysis to identify the most relevant input parameters for each patient based on their specific events and conditions. This allows the graphical interface to be pre-configured with only the necessary parameters, reducing complexity while maintaining precise mapping between patient input and therapy information.
Data Source
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AI summary
A patient interface for a therapy system allows a patient to input information that characterizes at least one patient event or condition and from which therapy information can be determined. The patient interface may illustratively be formed by developing a patient model that is configured to simulate the patient's physiological response to the at least one patient event or condition, collecting patient-specific information over time that relates to actual occurrences of the at least one patient event or condition, and defining a graphical interface, based on the patient model and on the collected patient- specific information, that maps input from the patient of the information that characterizes the at least one patient event or condition to corresponding therapy information.