Cloud Analytics Medical System Data Prioritization
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Solution Overview
Problem
Medical facilities face challenges in implementing new technologies due to patient safety concerns and a reluctance to deviate from traditional practices, leading to inadequate communication and knowledge sharing between facilities, which hampers the improvement of patient care practices.
Innovation Solution
A cloud-based analytics medical system that connects surgical hubs with a processor, memory, and input/output interfaces to receive, prioritize, and respond to critical data from surgical instruments, enabling real-time monitoring and corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If medical facilities implement new technologies and improve communication between facilities, then patient care practices are improved, but patient safety concerns and reluctance to deviate from traditional practices create resistance to change
Solution Approach 1:
The system continuously monitors surgical data from multiple facilities and provides feedback through the cloud-based analytics platform, enabling facilities to learn from each other's experiences while maintaining their own safety protocols. The feedback mechanism allows for shared knowledge without compromising individual facility safety standards.
Solution Approach 2:
The cloud-based analytics system acts as an intermediary between surgical hubs, allowing facilities to communicate and share knowledge through a neutral platform. This intermediary approach enables improved communication while preserving each facility's autonomy and safety protocols.
2Measurement precision
If more data is collected and analyzed from surgical hubs, then better decision-making is achieved, but data processing complexity and system requirements increase
Solution Approach 1:
The data processing system is segmented into distributed components at each surgical hub and a centralized cloud-based analytics platform. Each hub collects and pre-processes data locally, then transmits to the cloud for advanced analysis. This segmentation reduces the processing burden on individual facilities while maintaining high measurement precision through distributed data collection.
Solution Approach 2:
The system transitions from local data processing to a cloud-based dimensional approach, leveraging remote computing resources for complex data analysis. This dimensional shift allows facilities to access sophisticated analytics without increasing local system complexity, as the heavy processing occurs in the cloud dimension.
3Reliability
If real-time monitoring and response to irregularities is implemented, then surgical outcomes are improved, but system response time and processing speed requirements increase
Solution Approach 1:
The system continuously monitors surgical data streams in real-time and pre-identifies potential irregularities before they become critical. By performing preliminary analysis and alert generation during the surgical procedure, the system enables timely responses without requiring post-event processing, thus improving surgical outcomes while managing response time requirements.
Data Source
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AI summary
A cloud based analytics medical system is disclosed. The system includes a processor, a memory communicatively coupled to the processor, an input/output interface configured for accessing data from a plurality of surgical hubs and a database residing in the memory and configured to store the data. The surgical hub is communicatively coupled to the surgical instrument and the processor. The memory is configured to store instructions executable by the processor to receive critical data from the surgical hub as determined by the surgical hub based on screening criteria, determine a priority status of the critical data, route the critical data to a cloud storage location residing within the memory, and determine a response to the critical data based on an operational characteristic indicated by the critical data. A time component of the response is determined based on the priority status.