Case Data Visualization Timeline Application
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Solution Overview
Problem
Conventional tools, such as ERP case management software, are cumbersome for creating logical, time-oriented narratives from diverse and formatted data sources, and pose challenges in data portability and collaboration across different organizations.
Innovation Solution
A software application that visualizes case data by displaying a timeline of events in chronological order, allowing users to create new events, encapsulate files within a case file, and synchronize data across multiple users and formats, while ensuring data security and compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional ERP case management software is used to organize and present data, then data organization capability is provided, but the system becomes unwieldy and difficult to use for creating logical, time-oriented narratives
Solution Approach 1:
The system segments case data into discrete events with timestamps, allowing users to organize information chronologically rather than through complex ERP structures. Each event is an independent unit that can be easily added, modified, or removed, simplifying the user interface while maintaining comprehensive data organization capabilities.
Solution Approach 2:
The invention extracts the essential narrative-building functionality from complex ERP systems and presents it as a simplified timeline interface. By taking out only the necessary components for chronological data organization and presenting them in a clean, intuitive format, the system achieves ease of use without sacrificing data organization capability.
2Quantity of substance
If data is collected from numerous different sources and formats, then comprehensive data collection is achieved, but it becomes difficult to build a logical, time-oriented narrative
Solution Approach 1:
The system employs a universal event structure that can accommodate data from multiple sources and formats through standardized fields (timestamp, description, source, etc.). This multi-functional event model serves as a common language that translates diverse data types into a consistent chronological narrative, making narrative construction intuitive regardless of original data source.
Solution Approach 2:
The system transforms diverse data formats into a standardized set of parameters, particularly focusing on timestamp conversion to ensure chronological ordering. By changing the representation of data into uniform temporal and descriptive parameters, the system simplifies narrative construction while maintaining comprehensive data collection from various sources.
3Device complexity
If ERP case management software is used, then data organization is provided, but data portability and transferability to other formats are restricted
Solution Approach 1:
The system creates portable, self-contained event records that can be easily copied and transferred between different platforms and formats. Each event is an independent data unit that can be exported in various formats (JSON, XML, CSV) without requiring the complex ERP system, enabling seamless data portability while maintaining organized structure.
Solution Approach 2:
The invention transitions from the two-dimensional spreadsheet-style data organization of traditional ERPs to a hierarchical, time-oriented dimensional structure. This dimensional change enables data to be organized chronologically while remaining easily exportable to other formats, as the timeline structure itself becomes the organizational framework rather than a proprietary system constraint.
Data Source
AI summary
A case data visualization application is provided that, when executed on a device, allows a user to visualize a chronology of events associated with a case, view a summary of one or more supporting details of an event, and drill-down to view specific case data of each supporting detail of an event. Thus, the case data visualization application provides a way of collecting, organizing, visualizing, and sharing data associated with a case. Furthermore, the case data visualization application allow a plurality of users to collaborate on the case, and synchronizes a plurality of supporting details created by a plurality of users that are associated with an event.