Image-based pairing and controlling of devices in a clinical environment
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Solution Overview
Problem
In clinical environments, devices often fail to accurately associate patient data with the correct individual, leading to missed or erroneous recordings, and manual intervention is required to manage device interactions, which becomes challenging with increasing patient loads and information complexity.
Innovation Solution
A system that uses image analysis to automatically identify and associate medical devices with patients, enabling automatic control and data management, reducing the need for manual input and preventing false alarms by linking devices with specific settings or individuals through image recognition and association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review and charting of device parameters is performed by care providers, then data can be recorded in health records, but parameters can be missed and unrecorded due to manual intervention limitations
Solution Approach 1:
The system enables devices to automatically chart parameters to the correct patient's health record without requiring care provider manual review. The device self-associates with the patient through image recognition technology, eliminating the need for manual data entry while ensuring accurate parameter recording.
Solution Approach 2:
The patent replaces the manual mechanical process of care providers reviewing and charting parameters with an automated image recognition and data association system. The system uses computer vision to identify patients and automatically links device data to the correct electronic health record.
2Productivity
If devices are reused for multiple patients, then device utilization is improved, but the device may erroneously chart parameters of the wrong patient if the correct patient is not manually specified
Solution Approach 1:
The system introduces an intermediary image recognition system that acts as a mediator between the device and the patient. This intermediary automatically identifies the patient and establishes the correct association, eliminating the need for manual patient specification while preventing wrong patient data entry.
Solution Approach 2:
The system implements feedback through image recognition that continuously verifies patient-device association. The system captures images, identifies the patient, and confirms the correct association before allowing data charting, providing real-time feedback to prevent erroneous data entry.
3Reliability
If care providers manually manage device associations and review information, then correct data association can be ensured, but it becomes difficult to individually manage increasing patient loads and information complexity
Solution Approach 1:
The patent replaces the complex manual information management process with an automated image recognition and data association system. The system automatically manages device-patient associations, retrieves relevant information, and presents it to care providers, significantly reducing the complexity of managing increasing patient loads.
4Extent of automation
If automated analysis of detected parameters is implemented, then health-related events can be recognized, but manual intervention is still required to respond to alerts
Solution Approach 1:
The system enables devices to automatically detect health-related events through parameter analysis and self-respond by generating appropriate alerts. The device autonomously monitors parameters, identifies concerning patterns, and notifies care providers only when necessary, reducing routine manual monitoring while maintaining appropriate oversight.
Data Source
AI summary
An example method includes capturing images using a camera and detecting a medical device in a first image among the images. A request is transmitted to the medical device. Based on transmitting the request, the example method includes determining that the medical device has output a chirp signal in a second image among the images. Based on the chirp signal, the method includes causing the medical device to perform an action by transmitting a control message to the medical device.