Telemedicine Responsibility Allocation System
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Solution Overview
Problem
In telemedicine procedures involving multiple medical staff at different locations, clear responsibility allocation is often lacking, leading to misunderstandings, errors, and potential patient safety risks due to language barriers and lack of familiarity among team members.
Innovation Solution
A method for automatic allocation and display of responsibility using information profiles, competency classifications, and machine learning algorithms to determine and display responsibilities in real-time, ensuring conflict-free coordination and safe patient care by assigning appropriate responsibilities based on training, experience, and language proficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If safety mechanisms for synchronization of responsibilities are incorporated between persons or teams, then patient safety and error prevention are improved, but procedure time increases due to delays in time-critical steps
Solution Approach 1:
The system performs preliminary actions by automatically determining and displaying responsibility allocations before critical procedure steps occur. The competency classification and responsibility assignment are computed in advance based on stored information profiles, so that when a procedural step needs to be executed, the responsible person is already identified and ready, eliminating delays that would otherwise occur during time-critical moments.
Solution Approach 2:
The system serves itself by automatically determining responsibility allocations without requiring manual coordination or communication between team members. The automated system retrieves information profiles, performs competency classifications, and displays responsibility assignments independently, freeing up team members to focus on their medical tasks without being burdened by coordination overhead.
2Adaptability or versatility
If manual coordination of responsibilities is performed between persons or teams, then flexibility in handling unexpected situations is maintained, but misunderstandings and errors occur due to language barriers and lack of familiarity
Solution Approach 1:
The system introduces an intermediary - the automated responsibility allocation system - that mediates between team members. Instead of direct communication between persons or teams who may have language barriers or familiarity issues, the system acts as a neutral intermediary that objectively determines and displays responsibility allocations based on stored information profiles and competency data, ensuring clear and unambiguous communication of roles.
Solution Approach 2:
The system implements feedback by continuously monitoring the procedure and dynamically updating responsibility allocations based on the current procedural step. The display units provide real-time feedback to team members about who is responsible for each step, allowing for immediate adjustment of roles as the procedure progresses, while maintaining clear communication channels throughout.
3Measurement precision
If information profiles and competency classifications are automatically processed, then responsibility allocation accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary processing of information profiles and competency classifications before they are needed during the procedure. By pre-storing and pre-processing this data in structured formats, the system reduces the computational complexity during actual procedure execution, as the heavy lifting of data analysis has already been completed in advance.
Solution Approach 2:
The system creates simplified copies or representations of complex information profiles and competency data in the form of structured datasets that can be efficiently processed. Instead of dealing with the full complexity of raw personnel data, the system works with standardized, pre-processed information that retains the essential competency information while being much easier to handle computationally.
Data Source
AI summary
For a particularly failsafe performance of telemedicine procedures a method is provided for the automatic allocation and display of responsibility in telemedicine procedures with at least one medical device, the procedures involving at least two members of medical staff and of which at least one first person being positioned in close proximity to the device (“locally”) and at least one second person being positioned remotely from the device, with the following steps: planning and/or retrieving an operational sequence of procedural steps for the performance of the telemedicine procedure, requesting or retrieving an information profile in each case for at least the first and second person, wherein the information profile for the performance of the procedure contains relevant information on the respective person, ascertaining a competency classification of the at least first and second person for each procedural step in the telemedicine procedure on the basis of the information profiles, and displaying an allocation of responsibility determined from the competency classifications ascertained for the at least first person and second person in relation to one another for at least one procedural step which is currently being carried out or is pending.