Device for use in improving a user interaction with a user interface application

A system for use in improving a user interaction with a user interface application, comprising:

• at least one user interface comprising a display, wherein the at least one user interface is configured to provide data for a user, the data comprising first interaction data of the user with a plurality of interaction fields of a first version of the user interface application;
• a processor configured to:
• cluster the interaction data into a plurality of groups,
• apply first machine learning to the first interaction data to generate a decision tree model and to determine a contribution a specific user interaction field of the plurality of interaction fields makes to a specific group of the plurality of groups,
• modify the specific user interaction field to be specific to a patient condition on the basis of the determined contribution the specific user interaction field makes, and
• the display is configured to display a second version of the user interface application comprising the modified specific user interaction field;
• the at least one user interface is further configured to capture second interaction data of the user with the second version of the user interface application;
• apply second machine learning to the second interaction data of the second version of the user interface application to determine the contribution the modified specific user interaction field of the plurality of interaction fields makes to the specific group of the plurality of groups.

A method for use in improving a user interaction with a user interface application, comprising:

• providing data for a user, the data comprising first interaction data of the user with a plurality of interaction fields of a first version of the user interface application;
• clustering the first interaction data into a plurality of groups;
• applying first machine learning to the first interaction data to generate a decision tree model and to determine a contribution a specific user interaction field of the plurality of interaction fields makes to a specific group of the plurality of groups;
• modifying the specific user interaction field to be specific to a patient condition on the basis of the determined contribution the specific user interaction field makes;
• displaying a second version of the user interface application comprising the modified specific user interaction field;
• capturing second interaction data of the user with the second version of the user interface application;
• applying second machine learning to the second interaction data to determine the contribution the modified specific user interaction field of the plurality of interaction fields makes to the specific group of the plurality of groups.

A non-transitory computer-readable medium comprising instructions which, when being executed by a processing unit, cause the processing unit to carry out or control a method for improving a user interaction with a user interface application, the non-transitory, computer-readable medium comprising:

• instructions for providing data for a user, the data comprising first interaction data of the user with a plurality of interaction fields of a first version of the user interface application;
• instructions for clustering the first interaction data into a plurality of groups;
• instructions for applying first machine learning to the first interaction data to generate a decision tree model and to determine a contribution a specific user interaction field of the plurality of interaction fields makes to a specific group of the plurality of groups;
• instructions for modifying the specific user interaction field to be specific to a patient condition on the basis of the determined contribution the specific user interaction field makes;
• instructions for displaying a second version of the user interface application comprising the modified specific user interaction field;
• instructions for capturing second interaction data of the user with the second version of the user interface application;
• instructions for applying second machine learning to the second interaction data to determine the contribution the modified specific user interaction field of the plurality of interaction fields makes to the specific group of the plurality of groups.