Automated sample analyzer

A method comprising:

• identifying, by processing circuitry, an accessing user of an automated sample analyzer and, upon validation, establish the accessing user as a current user;
• monitoring, by the processing circuitry, interactions between the current user and the automated sample analyzer to generate interaction data;
• determining, by the processing circuitry and based on the interaction data, at least one pattern of interaction between the current user and the automated sample analyzer;
• determining, by the processing circuitry and based on the at least one pattern of interaction, configuration data for the current user, the configuration data indicating at least one of an appearance of a graphical user interface displayed by the automated sample analyzer or a sequence of graphical user interfaces displayed by the automated sample analyzer;
• storing, by the processing circuitry, the configuration data in a user data repository in association with a user profile of the current user;
• accessing, by the processing circuitry, the configuration data stored in the user data repository;
• and
• configuring, by the processing circuitry, one or more graphical user interfaces for display by the automated sample analyzer according to the configuration data.

An automated sample analyzer comprising:

• a sample input device receiving a liquid sample;
• a sample analyzing device reading measurements associated with the liquid sample;
• a display device displaying a graphical user interface (GUI) to a current user of the automated sample analyzer, the GUI being for controlling or maintaining the automated sample analyzer by the current user;
• processing circuitry;
• and
• a memory storing:
• a receiving engine which, when executed by the processing circuitry, receives the measurements associated with the liquid sample from the sample analyzing device and stores the measurements in memory;
• a configuration control engine which, when executed by the processing circuitry, causes the processing circuitry to set a configuration of a user model to correspond to the current user of the automated sample analyzer;
• a learning engine which, when executed by the processing circuitry, causes the processing circuitry to detect and collect at least one pattern of interaction of the current user with the GUI;
• and
• a user interface engine which, when executed by the processing circuitry, causes the processing circuitry to configure the GUI according to user-dependent configuration data of the configuration of the user model corresponding to the current user, the user-dependent configuration data being received from a user data repository;
• wherein the learning engine, when executed by the processing circuitry, causes the processing circuitry to:
• identify an accessing user and, upon validation, establish the accessing user as the current user;
• monitor interaction between the current user and the GUI and store interaction data of the current user in association with time;
• determine, based on the interaction data, at least one time-cyclical pattern of interaction between the current user and the GUI;
• and
• store the at least one time-cyclical pattern of interaction.