Digital Health Map Forecasting for Personalized Interventions
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Solution Overview
Problem
Existing health intervention methods lack personalization, making it challenging to tailor interventions effectively to individual subjects based on their unique responses to health metrics.
Innovation Solution
A digital health map system that uses a data processing system with processors to analyze baseline data including health, behavioral, physical, and demographic metrics to determine a subject's current location and predict a personalized health trajectory, allowing for optimized health interventions through prescribed actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a one-size fits all qualitative approach is used for health interventions, then the system complexity is reduced, but the personalization and effectiveness of interventions deteriorates
Solution Approach 1:
The patent segments the health status into multiple dimensions by creating a digital health map with axes representing different health parameters (e.g., BMI, blood pressure, cholesterol). This allows the system to handle complex personalization by breaking down the overall health assessment into manageable segments along different axes, enabling tailored interventions without overwhelming system complexity.
Solution Approach 2:
The patent introduces a spatial dimension by visualizing health status as a location on a multi-dimensional map. Instead of using complex qualitative assessments, the system transforms health data into spatial coordinates (x, y, z axes representing different health parameters), making personalization intuitive and manageable through dimensional visualization rather than complex processing.
2Measurement precision
If multiple response parameters and metrics are processed to assess health status, then the measurement precision of health assessment is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent merges multiple health metrics (BMI, blood pressure, cholesterol, etc.) into a unified digital health map visualization. Instead of processing each metric separately through complex algorithms, the system combines them into a single spatial representation where the subject's health status is depicted as a location on the map, simplifying the detection and measurement process while maintaining precision.
Solution Approach 2:
The digital health map serves as an intermediary between raw health data and actionable insights. It transforms complex multi-parameter health assessments into an intuitive spatial representation, making the detection and measurement of health status easier while preserving the precision of the original metrics through the map's coordinate system.
3Reliability
If a personalized quantitative approach is implemented, then the effectiveness of health interventions is improved, but the loss of time in data processing and analysis increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining the health map framework, axes, and visualization templates before actual health assessments. This allows the system to quickly process new health data by placing it into the pre-established map structure rather than building the analysis framework from scratch, reducing data processing time while maintaining personalized effectiveness.
Data Source
AI summary
Systems and methods for generating a digital health map is provided. A system can receive, for a subject, baseline data for a first time interval comprising health metrics, behavioral metrics, and physical metrics. The system can establish, via a model, a current location of the subject on a digital health map based on at least one of the health metrics, the behavioral metrics, or the physical metrics. The system can determine, based on the model and one or more prescribed actions, a predicted path extending from the current location for a second time interval after the first time interval. The system can update the digital health map with the predicted path for the one or more prescribed actions. The system can transmit, to a computing device, the digital health map to cause the computing device to render the digital health map via a display device coupled to the computing device.