ICU Cloud-Edge Data Processing for Multi-Device Format Unification
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Solution Overview
Problem
ICU diagnostic and treatment devices generate vast amounts of data that are difficult to manage due to format incompatibilities, high false alarm rates, and lack of centralized processing, leading to increased workload for medical personnel and inefficiencies in data analysis and storage.
Innovation Solution
A cloud-edge collaborative processing system that includes edge computing, ICU devices, service terminals, and a cloud platform for data preprocessing, standardization, and centralized management, using deep learning for real-time analysis and third-party business services to support medical staff.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If ICU diagnostic and treatment devices generate and collect more data, then the data analysis and processing capability is improved, but the workload of medical personnel increases and the existing computing power cannot meet the needs
Solution Approach 1:
The patent introduces an intermediary processing layer between ICU devices and medical personnel, including edge computing nodes for preliminary data processing and a cloud-based AI platform for advanced analysis. This intermediary system automatically filters, aggregates, and analyzes data, presenting only critical insights to medical staff, thereby reducing workload while enhancing analytical capability.
Solution Approach 2:
The patent replaces manual data processing and analysis performed by medical personnel with automated computational systems. AI algorithms, machine learning models, and automated monitoring systems substitute for human cognitive efforts in data interpretation, enabling handling of larger data volumes without increasing medical staff workload.
2Adaptability or versatility
If multiple manufacturers' devices are used in ICUs, then device functionality and choices are improved, but data format incompatibility and processing difficulty increase
Solution Approach 1:
The patent implements a universal data processing platform that can handle multiple data formats and protocols from different manufacturers. The system includes format conversion modules, standardized data schemas, and multi-protocol support that enable a single platform to process data from diverse sources, maintaining device versatility while simplifying processing through standardization.
3Productivity
If the same device serves multiple patients, then device utilization efficiency is improved, but patient identification and data management become difficult
Solution Approach 1:
The patent segments patient data management at the software level while using shared hardware. Each patient's data is divided into separate, uniquely identified data streams with individual metadata tags. The system creates virtual partitions for each patient's information, enabling clear differentiation and management of multiple patients' data on the same physical device without confusion or mixing.
Data Source
AI summary
A cloud-edge collaborative processing system includes: an edge computing system, an ICU diagnosis and treatment device, a service terminal device, and a cloud platform. The edge computing system collects multi-source heterogeneous medical data output from the ICU diagnosis and treatment devices and performs preprocessing, stores preprocessed data into an edge database, and connects to the cloud platform for data transmission and business interaction. The cloud platform connects to a plurality of edge computing systems to perform computation and processing of massive data. The medical-staff handheld terminals and the data terminals of wards are used to issue service instructions to the cloud platform to obtain the required third-party-business services.