Progress Diagram Generation Apparatus for Time Series Data
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Solution Overview
Problem
The increased amount of information to be input in systems like electronic health record systems leads to longer times for grasping time series data and checking input content accuracy, posing a challenge across various observation fields.
Innovation Solution
A progress diagram generation apparatus comprising an observation information acquisition unit, a time series data generation unit, and a progress diagram generation unit, which acquires observation information, extracts date and time information along with event information, and generates a progress diagram showing event information over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If information sharing is enabled in electronic health record systems, then information completeness is improved, but the amount of time required for grasping time series and checking input contents increases
Solution Approach 1:
The patent extracts date and time information from the observation information, separating the temporal dimension from the content dimension. This allows the system to focus on organizing data by time sequences rather than processing all information at once, thereby reducing the time required to grasp time series while maintaining information completeness.
Solution Approach 2:
The patent segments observation information into discrete time-series data points, each associated with specific date and time information. This segmentation enables systematic organization and visual presentation of information chronologically, making it easier to grasp time series patterns without being overwhelmed by the total volume of information.
2Quantity of substance
If information sharing is enabled in electronic health record systems, then information completeness is improved, but the amount of work to check for errors in input contents increases
Solution Approach 1:
By extracting date and time information as a separate dimension, the system can validate temporal consistency and logical sequences independently from content validation. This separation reduces the cognitive load and manual effort required to check for errors in input contents while maintaining comprehensive information sharing.
Solution Approach 2:
The system performs preliminary organization of observation information into time-series structure before error checking is required. By pre-organizing data chronologically with proper date and time tagging, the system creates a structured framework that facilitates subsequent error detection and validation processes.
3Ease of operation
If observation information is structured into time series data, then time series grasping is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct modules: extraction of date and time information, construction of time-series structure, and generation of progress diagrams. This segmentation reduces overall processing complexity by allowing each module to handle specific aspects independently, while collectively achieving the goal of easy time series grasping.
Solution Approach 2:
The patent introduces date and time information as an intermediary structure that bridges raw observation information and the final progress diagram output. This intermediary layer simplifies the processing complexity by providing a standardized temporal framework that organizes heterogeneous observation data into a consistent time-series format.
Data Source
AI summary
A progress diagram generation apparatus that allows time series to be easily grasped and input contents to be easily checked is provided. In a progress diagram generation apparatus (100) according to an example aspect of the invention, an observation information acquisition unit (101) is configured to acquire observation information related to an observation target, a time series data generation unit (102) is configured to extract date and time information indicating at least one of a date or a time and event information associated with the date and time information from the observation information and structure them to generate time series data, and a progress diagram generation unit (103) is configured to generate a progress diagram including a first axis indicating a time elapsed and a second axis indicating the event information.