Medical Cloud Platform Vital Sign Data Processing
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Solution Overview
Problem
Current vital-sign monitoring devices generate vast amounts of data daily but lack long-term storage capacity, leading to high false-alarm rates and labor-intensive manual analysis for medical personnel, with incompatible data formats and protocols complicating data sharing across different systems, overwhelming both small and large hospitals.
Innovation Solution
A medical cloud platform utilizing a third-party business service with a deep-learning framework for distributed parallel computation, enabling real-time data processing, standardization, and analysis, and providing auxiliary analysis and checking to reduce labor intensity and improve data management efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vital-sign monitoring devices generate and transmit all raw data to hospitals, then data completeness is improved, but network bandwidth consumption increases and data processing burden on hospitals becomes overwhelming
Solution Approach 1:
The patent applies preliminary action by performing data filtering, analysis, and abnormal event detection at the monitoring device end before data transmission. The device pre-processes vital sign data locally, identifying abnormal events and extracting key information, then transmits only this processed data to the hospital. This reduces the data volume requiring hospital processing while maintaining data completeness for clinical decision-making.
2Adaptability or versatility
If multiple processing software programs are installed to handle different manufacturer data formats, then data compatibility is improved, but system complexity and processing time increase
Solution Approach 1:
The patent introduces a standardized data interface and communication protocol as an intermediary layer between monitoring devices of different manufacturers and the hospital information system. This standard interface translates various manufacturer-specific data formats into a unified format, eliminating the need for multiple processing software programs while maintaining compatibility with diverse device types.
3Adaptability or versatility
If communication modules are added to monitoring devices to enable cloud connectivity, then data transmission capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent integrates multiple functions into the monitoring device's existing communication infrastructure. The device uses its built-in display and processing capabilities to perform local data analysis and wireless data transmission, combining monitoring, analysis, and communication functions in a single integrated system rather than adding separate dedicated modules for each function.
4Loss of information
If upper-level hospitals concentrate and process data from multiple lower-level hospitals, then centralized analysis capability is improved, but the upper-level hospital's processing burden becomes insufferable
Solution Approach 1:
The patent implements segmentation by distributing data processing tasks across multiple levels: lower-level hospitals perform initial data collection and basic processing, transmitting only essential information upward; upper-level hospitals focus on specialized analysis and coordination. This segmented approach maintains the benefits of centralized coordination while preventing any single hospital from becoming overwhelmed by raw data processing.
Data Source
AI summary
The present application relates to a system and method for sharing data on a medical cloud platform based on third-party business. The system includes: a terminal device and a cloud platform. The cloud platform receives a massive quantity of vital-sign data that are sent by the terminal device, analyzes and processes the massive quantity of vital-sign data by using the deep-learning framework of distributed parallel computation, screens abnormal data, and sends an abnormal-event warning to the user, to prompt the medical care personnel to quickly intervene. The terminal device may send an instruction to the cloud platform, including a user-self-defined-term setting instruction, a real-time-data service instruction, a data invoking instruction, a medical-document service instruction, a consultation-service instruction, a medical-cooperation-information issuing instruction, a data analyzing and counting instruction, a patient-state evaluating instruction, a data-analysis-report managing instruction, and a medical-tool-library inquiring instruction, to obtain the support from various third-party-business services.