Physician Notification Management for Cardiac Event Prioritization
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Solution Overview
Problem
The overwhelming number of cardiac events detected by monitoring devices can bury critical events that require immediate treatment, and existing systems lack efficient methods for securely notifying and confirming receipt of critical cardiac event information to patient care groups.
Innovation Solution
A system that uses a server to detect cardiac events from ECG data, associate them with criticality, and transmit relevant data to a remote computing system, which then sends secure notifications to patient care groups, with acknowledgement tracking and follow-up actions if notifications are not received within a set time, utilizing machine learning models and mobile applications for secure access and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all cardiac events are transmitted to patient care groups, then complete information is provided, but the overwhelming number of events buries critical events and increases processing burden
Solution Approach 1:
The system extracts and transmits only a subset of cardiac events that meet predefined criteria to the patient care group, rather than transmitting all detected events. This filtering approach removes non-critical events from the transmission stream, reducing the burden on patient care groups while ensuring that critical events are promptly identified and addressed.
Solution Approach 2:
Different transmission criteria are applied to different cardiac events based on their characteristics. Critical events with specific features (e.g., arrhythmias, ST-segment changes) are transmitted immediately, while non-critical events are filtered out. This selective transmission ensures that patient care groups receive only the most important information requiring their attention.
2Speed
If electronic notifications are sent to patient care group, then communication efficiency is improved, but there is no confirmation that the notification was received and acted upon
Solution Approach 1:
The system implements a feedback mechanism where the server monitors and tracks whether patient care groups have acknowledged received notifications. This feedback loop ensures that critical information has been both delivered and reviewed by the appropriate personnel, providing reliability confirmation while maintaining rapid communication through electronic channels.
3Loss of information
If personal health information is included in electronic notifications, then complete patient information is provided, but patient privacy is compromised
Solution Approach 1:
The system extracts and transmits only essential cardiac event data and clinical information necessary for patient care groups to assess and respond to the event, while deliberately excluding sensitive personal health information from electronic notifications. This selective information extraction maintains patient privacy while providing sufficient clinical context for appropriate medical response.
4Measurement precision
If all ECG data is transmitted to remote computing system, then complete analysis is possible, but data transmission burden and processing time increase
Solution Approach 1:
The system extracts and transmits only relevant ECG data segments corresponding to detected cardiac events that meet transmission criteria, rather than transmitting complete continuous ECG recordings. This selective data extraction reduces transmission volume and processing time while maintaining the precision needed for accurate cardiac event detection and assessment.
Data Source
AI summary
Systems, methods, and devices involve approaches for limiting the number of detected cardiac events for which a physician is alerted. Approaches involve detecting cardiac events based on electrocardiogram (ECG) data and associating the cardiac events with a criticality. ECG data associated with a subset of the cardiac events is transmitted to a remote computing system based, at least in part, on the criticality. An electronic notification is transmitted to a patient care group regarding at least one of the cardiac events in the subset. Approaches further include determining whether an acknowledgement of the electronic notification has been received by the server from the patient care group within a set period of time.