Medical Care Assistance System for Medication Effect Assessment
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Solution Overview
Problem
Existing medical care assistance systems face challenges in determining the effectiveness of medication changes due to short-term blood pressure fluctuations and issues like masked hypertension or white coat hypertension, making it difficult to assess the impact of prescription alterations.
Innovation Solution
A medical care assistance system that acquires and processes biological information, calculates average values over predetermined periods, generates medicinal effect confirmation support images to visualize transitions, and outputs these images for medical professionals to easily and reliably assess medication effects, accounting for measurement time and location variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If daily blood pressure measurement values are used to assess medication effectiveness, then the data reflects short-term fluctuations, but it becomes difficult to determine the true effect of prescription changes
Solution Approach 1:
The patent extracts the essential trend information from daily blood pressure measurements by calculating average values over predetermined periods. This separates the meaningful long-term medication effect from the noisy short-term fluctuations, allowing doctors to reliably assess medication effectiveness without being misled by daily variations.
Solution Approach 2:
The system performs preliminary calculation of average blood pressure values over predetermined periods before presenting the data to doctors. This preprocessing step prepares the data in advance to highlight medication effects, so when doctors review the measurements, they immediately see the relevant trends without needing to manually analyze raw daily data.
2Quantity of substance
If blood pressure measurements are taken at different locations (home vs. clinic), then more data is collected, but masked hypertension or white coat hypertension makes it difficult to determine true medication effect
Solution Approach 1:
The patent merges blood pressure measurement data from different locations (home and clinic) into a unified assessment by calculating average values over predetermined periods. This combination allows the system to capture both masked hypertension (low at clinic, high at home) and white coat hypertension (high at clinic, normal at home) patterns, providing a more accurate picture of true medication effectiveness.
3Loss of information
If doctors manually analyze daily blood pressure fluctuations to assess medication effect, then detailed information is available, but it requires excessive time and effort
Solution Approach 1:
The system extracts the essential medication effect information from daily blood pressure measurements by calculating average values over predetermined periods. This extraction process removes the excessive detail of daily fluctuations while preserving the meaningful trend data, allowing doctors to make accurate assessments quickly without manually analyzing each daily measurement.
Solution Approach 2:
The patent creates a simplified representation (average values over periods) that copies the essential information from the detailed daily measurements. This copied data structure maintains the key medication effect trends while eliminating the time-consuming daily variation details, enabling efficient doctor review.
Data Source
AI summary
A medical care assistance system includes measured value acquisition means configured to acquire a measured value related to biological information of a patient, medication information acquisition means configured to acquire medication information that is related to medicine prescribed to the patient, and includes information of a first prescription start date that is an earliest date of prescription of medicine with at least one prescription content, average measured value calculation means configured to calculate an average measured value that is an average value of the measured value of the patient in each predetermined period, medicinal effect confirmation support image generation means configured to generate a medicinal effect confirmation support image including measured value transition information indicating transition of the average measured value in time series, in each of the predetermined periods before and after the first predetermined period, and output means configured to output the medicinal effect confirmation support image.