EP Workflow Support Triggers for Remote Specialist Assistance
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Solution Overview
Problem
The high cost and inefficiency of using clinical specialists for electrophysiology procedures due to their significant expense and time inefficiency, especially in simple cases or when cases are canceled.
Innovation Solution
Implementing automated triggers for case support during electrophysiology procedures using non-transitory machine-readable media to analyze workflow data, determine support events, and establish communication links with remote specialists for user interaction and control of EP workflow instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If clinical specialists are deployed to provide guidance and technical support during EP procedures, then the quality of case support is improved, but the cost and time efficiency deteriorate due to salaries, travel expenses, and inefficient use of specialist time
Solution Approach 1:
The system creates a virtual copy of the clinical specialist through remote connectivity, allowing the specialist to provide guidance and control EP workflow instructions from a remote location. This digital presence eliminates the need for physical travel while maintaining full interactive capability, thus preserving support quality without the associated time and cost penalties
Solution Approach 2:
The system introduces a communication platform as an intermediary between the local operator and remote specialist. This intermediary enables real-time data transmission, video conferencing, and remote control capabilities, allowing specialists to provide support without being physically present, thereby improving time efficiency while maintaining support quality
2Reliability
If clinical specialists travel to provide on-site support, then comprehensive technical assistance is available, but the expense increases significantly due to travel and salary costs
Solution Approach 1:
The system creates a virtual copy of the clinical specialist through remote connectivity, allowing the specialist to provide guidance and control EP workflow instructions from a remote location. This digital presence eliminates the need for physical travel while maintaining full interactive capability, thus preserving support quality without the associated time and cost penalties
Solution Approach 2:
The remote support platform serves multiple functions simultaneously: it provides real-time guidance, enables remote control of EP equipment, facilitates video conferencing, and allows specialists to support multiple cases sequentially. This multi-functionality consolidates what would otherwise require multiple separate interventions, reducing overall financial expense while maintaining comprehensive technical assistance
3Productivity
If more clinical specialists are deployed to handle multiple EP workflow sessions, then the capacity to service cases increases, but the cost and complexity of coordination increase
Solution Approach 1:
The system transitions specialist support from a physical spatial dimension to a digital network dimension. Instead of specialists needing to be physically present in different locations, the remote platform enables a single specialist to service multiple EP workflow sessions from one location, effectively adding a temporal dimension to specialist availability without increasing spatial complexity
Solution Approach 2:
The system segments the specialist's time and attention into discrete, manageable sessions that can be sequentially allocated. Each EP workflow session is treated as an independent unit that can be serviced in turn through the remote platform, allowing efficient coordination without the complexity of simultaneous physical presence requirements
Data Source
AI summary
One or more non-transitory machine-readable media to store data and instructions executable by one or more processors. The instructions are programmed to analyze workflow data for a given phase of a plurality of phases of an ongoing electrophysiology (EP) workflow implemented using a first computing apparatus. The instructions can also determine at least one support event based on the analysis of the workflow data and send a request to at least one remote support specialist responsive to determining the at least one support event. The instructions further can establish a communication link between the first computing apparatus and a second computing apparatus, which is associated with a respective remote support specialist, and enable user interaction with and control of the machine-readable EP workflow instructions on the first computing apparatus responsive to a user input by the respective remote support specialist at the second computing apparatus.