system
The system addresses inefficiencies in electronic medical record management by automating data organization, anomaly detection, and visualization, improving healthcare efficiency and patient care quality through natural language processing and machine learning.
JP2026107855APending Publication Date: 2026-06-30SOFTBANK GROUP CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-18
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Existing data management and analysis of electronic medical records are inefficient, requiring manual processes and lacking in automated data organization, anomaly detection, and visualization of patient health status.
Method used
A system comprising a sorting unit, detection unit, and visualization unit that automatically organizes electronic medical record data, detects anomalies, and visualizes patient health status using natural language processing and machine learning.
Benefits of technology
The system improves the efficiency of healthcare professionals by automating data management, enabling early detection of anomalies and pattern discovery, and providing real-time visualization of patient health status, thereby enhancing the quality of patient care.
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Smart Images
Figure 2026107855000001_ABST
Abstract
The system according to this embodiment aims to automatically organize electronic medical record data, detect anomalies and discover patterns, and visualize the patient's health status. [Solution] The system according to the embodiment comprises a sorting unit, a detection unit, a discovery unit, and a visualization unit. The sorting unit automatically sorts the data in the electronic medical record. The detection unit detects abnormalities based on the data sorted by the sorting unit. The discovery unit discovers patterns based on the abnormalities detected by the detection unit. The visualization unit visualizes the patient's health status based on the patterns discovered by the discovery unit.
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