Medical Care Information Display Control Apparatus for Efficient Diagnosis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating display item sets for medical care data require significant time and effort, as doctors must manually select each medical care item for inclusion, making it difficult to efficiently manage and diagnose multiple diseases.
Innovation Solution
A medical care information display control apparatus that automatically identifies non-overlapping periods of disease duration for each patient, extracts relevant medical care data, and generates display item sets, allowing for efficient inclusion of medical care items without manual one-by-one selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all medical care data of a large number of medical care items are displayed, then complete medical information is provided, but it becomes very difficult to observe the data and abnormal signs may be overlooked
Solution Approach 1:
The patent segments the large volume of medical care data into distinct categories (examination results, treatment information, diagnostic information, biological information) and further organizes them by medical care item type. This segmentation allows the data to be presented in a structured, manageable format that maintains completeness while improving observability through systematic organization and selective highlighting of abnormal signs.
2Difficulty of detecting and measuring
If a user specifies a medical care item of interest and only that data is displayed, then observation becomes easier, but the user needs to perform operations to specify items one by one, requiring a lot of time and effort
Solution Approach 1:
The system performs self-service by automatically analyzing the patient's medical history, disease information, and medical care items to generate and display relevant abnormal signs without requiring manual user specification. The apparatus autonomously determines which medical care items are relevant based on the patient's specific condition, thereby eliminating the time-consuming manual selection process while maintaining ease of observation.
3Reliability
If display item sets are generated using manual selection by doctors based on medical diagnosis knowledge, then accurate diagnostic information is provided, but it requires a lot of time and effort
Solution Approach 1:
The patent replaces the mechanical process of manual selection by doctors with an automated information processing system. The apparatus uses computer algorithms to analyze medical history, disease information, and medical care items, automatically generating display item sets that reflect diagnostic accuracy without requiring manual intervention. This substitution maintains reliability while dramatically reducing the time and effort required.
4Productivity
If display item sets are generated using automatic extraction based on registration date and time, then generation becomes faster, but it may not accurately reflect disease-specific diagnostic requirements
Solution Approach 1:
The system incorporates feedback mechanisms where the automatically generated display item sets are refined based on disease-specific diagnostic requirements. The apparatus analyzes the relationship between medical care items and diseases, using this feedback to adjust and optimize the selection of items to be displayed, thereby maintaining both high productivity and reliability of disease-specific diagnostic information.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
In a medical care information display control apparatus, method, and program, generating a display item set with respect to each disease easily and efficiently. [Means for Solving the Problems] Identifying, using information of disease duration of each disease of a first patient, a non-overlapping period of disease duration of a target disease, which is one of the diseases of the first patient, that does no overlap with disease durations of the other diseases, and using medical care data of the first patient and information of the registration date and time of the medical care data, extracting medical care data whose registration date and time is included in the non-overlapping period of the target disease from the medical care data of the first patient and generates a display item set composed of the medical care item corresponding to the extracted medical care data. Then, using information of medical care data of a second patient suspicious of the target disease, displaying medical care data of those of the second patient corresponding to the medical care item of the generated display item set.