Mechanical Ventilation Data Standardization for Real-Time Report Generation
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Solution Overview
Problem
Current mechanical ventilation therapy systems generate vast amounts of heterogeneous data that are difficult to process and analyze, leading to high workloads for healthcare professionals and increased risk of complications due to inefficient data management and lack of standardized protocols.
Innovation Solution
A method and system for mechanical ventilation therapy data management that standardizes and cleans data, performs labeling, and generates comprehensive analysis reports, integrating data from various devices and systems to facilitate efficient data processing and reduce human workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If mechanical ventilation therapy data is collected and stored from multiple devices, then comprehensive patient monitoring is achieved, but data processing complexity increases due to heterogeneous data formats and protocols
Solution Approach 1:
The patent introduces a data processing system that acts as an intermediary between multiple ventilation devices and the clinical information system. This system includes data collection modules that interface with different device protocols, standardization modules that convert heterogeneous data into unified formats, and processing modules that analyze the standardized data. The intermediary system resolves the contradiction by absorbing the complexity of multiple protocols and presenting simplified, standardized data outputs.
Solution Approach 2:
The patent applies parameter changes by transforming data from multiple formats into a standardized parameter set. The system changes the data representation parameters across different devices to a common standard, enabling uniform processing. This includes converting different waveform formats, pressure units, and communication protocols into standardized digital representations that can be consistently processed and stored.
2Measurement precision
If manual data analysis is performed by doctors and nurses, then data accuracy is maintained, but work pressure increases and time consumption increases
Solution Approach 1:
The patent implements self-service through automated data processing and analysis functions. The system automatically collects data from devices, standardizes formats, performs preliminary analysis, and generates reports without requiring manual intervention for these routine tasks. This frees healthcare professionals to focus on higher-value activities while maintaining accuracy through automated validation and cross-checking mechanisms.
Solution Approach 2:
The system incorporates feedback mechanisms where automated analysis results are presented to healthcare professionals for review and confirmation. The feedback loop allows the system to learn from professional corrections and improve its automated analysis over time, maintaining high accuracy while reducing the time needed for manual review of routine data patterns.
3Loss of information
If 24-hour mechanical ventilation data is retrieved and analyzed, then complete treatment overview is achieved, but data retrieval difficulty increases and processing time increases
Solution Approach 1:
The patent applies preliminary action by continuously collecting, standardizing, and pre-processing mechanical ventilation data in the background as it is generated. The system maintains a standardized database structure that is constantly updated with cleaned and formatted data, so when complete 24-hour reviews are needed, the data is already prepared and readily available for quick retrieval and analysis without requiring time-consuming processing at the moment of need.
4Adaptability or versatility
If data from multiple manufacturers' devices is integrated, then comprehensive monitoring is achieved, but data communication protocol complexity increases
Solution Approach 1:
The patent implements universality by creating a multi-functional data processing system that can interface with devices from multiple manufacturers through standardized communication protocols. The system includes universal data collection modules that can connect to various device types, standardized translation layers that convert manufacturer-specific protocols into a common data format, and unified processing modules that handle all standardized data consistently. This universal approach enables integration of diverse devices while managing protocol complexity internally.
Data Source
AI summary
The present application relates to a method and system of mechanical ventilation therapy data management. The method includes: putting patient information and real-time received mechanical ventilation therapy data into a standard data structure object respectively to form standardized data; the mechanical ventilation therapy data comprises ventilator data; performing data cleaning on the standardized data to obtain a medical data set; performing data labeling on the mechanical ventilation therapy data in the medical data set; the data labeling comprises: marking amplitudes, frequencies, and shapes of waveform data, marking measurement values of numerical data, and marking abnormal events; when a report generation instruction is received, generating a mechanical ventilation therapy data analysis report based on the medical data set with the data labeling.