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This is achieved because when a nurse receives a call while this nurse is performing a task (or even handling another call), the nurse is sure that the new call has a higher priority.
If the task is a call, another staff member is searched to handle the call.
"We believe we did handle each call properly".
As can be seen, it is possible that multiple nurses arrive at a room to handle a call, as multiple nurses are called and one nurse does not know if another nurse will handle the call or not.
Nurses that are too far away are not called to handle a call.
Additionally, only one nurse is called to handle a call, which prevents that multiple nurses arrive at a patient to handle the call.
Next, the algorithm finds the most appropriate staff member to handle the call.
The nurse who reaches the room first will handle the call.
A new algorithm was designed to find the correct staff member to handle a call.
Emergency response staff must handle high call volumes following suspected or actual bioterrorist attacks.
If a staff member has not indicated that he/she is going to handle the call within the time-out time that is specified for this type of call in the ontology, another staff member is selected to handle the call by running the algorithm again.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com