Medical Service Support Device for Grouped Workload and Staffing
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Solution Overview
Problem
Existing systems fail to simultaneously grasp numerical information related to the actions of medical workers and the number of medical workers within a facility, making it difficult for administrators to manage and optimize medical services effectively.
Innovation Solution
A medical service support device and method that acquires, classifies, and represents action information of medical workers into groups based on attribute information, deriving numerical information and the number of medical workers for each group, enabling simultaneous visualization of workload and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If action information of medical workers is managed individually, then detailed action tracking is achieved, but simultaneous grasp of numerical information and worker count is lost
Solution Approach 1:
The patent introduces an intermediary processing layer that aggregates individual action information into group-level statistical data. This intermediary layer transforms detailed worker actions into summarized numerical information and worker counts, enabling simultaneous grasp of both granular and aggregate data without overwhelming system complexity
Solution Approach 2:
The system creates simplified copies or representations of the complex action information data. Instead of managing all raw action details directly, the patent generates derived copies such as numerical summaries and classification statistics that capture essential information in a more manageable form
2Measurement precision
If detailed action information is collected for each medical worker, then comprehensive monitoring is achieved, but difficulty in deriving grouped numerical information increases
Solution Approach 1:
The patent applies segmentation by dividing the complex task of data processing into distinct stages: first collecting detailed action information with high precision, then classifying this information into categories, and finally aggregating into numerical summaries. This segmented approach makes the overall process more manageable while preserving measurement precision at the source
Solution Approach 2:
The system performs preliminary classification of action information into predefined categories before final aggregation. This preliminary action organizes the detailed data in advance, making the subsequent derivation of numerical information and worker counts more efficient and less difficult
3Adaptability or versatility
If action information is classified into multiple groups, then detailed analysis capability is improved, but loss of overall numerical overview occurs
Solution Approach 1:
The patent merges the detailed classified information with overall numerical summaries in a unified representation. By combining group-level classifications with aggregate numerical data and worker counts, the system maintains both detailed analysis capability and overall overview, preventing information loss at any level
Data Source
AI summary
A processor is configured to acquire action information related to an action of a medical worker, classify the action information into a plurality of groups based on attribute information related to classification, derive numerical information related to the action of the medical worker and the number of medical workers based on the action information for each of the plurality of groups, and derive a representation result in which the numerical information and the number of medical workers are represented in a unit of the classified group.