Multilayer Clinical Record Generation for Visual Procedure Reporting
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Solution Overview
Problem
Conventional text-based medical records after medical treatments, such as endoscopy and surgery, are insufficient for conveying detailed information about lesions and clinical procedures, making it difficult for medical staff to grasp the operation details and share important clinical information effectively.
Innovation Solution
A method and device that detects meaningful frames from image data related to medical examinations, procedures, and surgeries, and generates visual reports using multimedia (images, videos, and signals) to record and visualize the information in a temporal order, incorporating clinical and metadata information in multiple layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If text-based records are used to record medical treatment information, then the recording process is simple and quick, but the detailed information about lesions and clinical procedures cannot be fully conveyed
Solution Approach 1:
The patent merges text-based records with image data, video data, and audio data to create a comprehensive multimedia clinical record system. This combination allows both the simplicity of text recording and the detailed information capability of visual/audio media to coexist, resolving the contradiction between ease of recording and information completeness.
Solution Approach 2:
The patent transitions from one-dimensional text records to multi-dimensional multimedia records by adding image, video, and audio dimensions. This dimensional expansion enables the system to capture detailed clinical information while maintaining recording efficiency through automated data integration from medical devices.
2Device complexity
If manual text recording is performed by medical staff, then the process requires minimal equipment, but the efficiency of delivering detailed medical information is reduced
Solution Approach 1:
The system enables automatic self-service recording by integrating with existing medical devices that automatically capture image, video, and audio data during procedures. The system automatically processes and stores this data without requiring additional manual recording equipment or staff time, thereby improving productivity while maintaining low device complexity.
Solution Approach 2:
The patent replaces manual mechanical recording processes with automated electronic data capture and processing systems. This substitution uses digital sensors and automated software to record and manage clinical information, significantly improving the efficiency of delivering medical information without adding substantial equipment complexity.
3Ease of manufacture
If only text-based records are stored in the hospital information system, then the storage process is straightforward, but reviewing surgery for education and research makes it hard to grasp detailed operation information
Solution Approach 1:
The patent segments the clinical record into multiple data types (text, image, video, audio) and stores them in organized structures within the hospital information system. This segmentation allows straightforward storage while enabling detailed review of operation information through visual and auditory materials, resolving the contradiction between storage ease and information accessibility.
Solution Approach 2:
The patent adds multiple dimensions of data storage beyond traditional text records, creating a hierarchical storage structure that includes image, video, and audio data. This multi-dimensional storage approach maintains storage simplicity through automated organization while dramatically improving the ability to detect and measure detailed operation information for education and research purposes.
Data Source
AI summary
The present disclosure relates to a method and device for generating clinical record data for recording medical treatment. The method includes receiving medical data in which medical treatment, performed in advance, is recorded; recording information, included in the medical data, in a layer corresponding to an item related to the medical data from among a plurality of layers classified according to a plurality of items; and generating a clinical report based on the plurality of layers.