Abstract: Methods of predicting failures of in vitro diagnostic instruments include monitoring, with one or more monitoring devices associated with one or more components of the in vitro diagnostic instrument, one or more condition-based maintenance (CBM) parameters of the in vitro diagnostic instrument, providing the one or more condition-based maintenance parameters to a local database, transmitting condition-based maintenance data to a remote service location, storing the condition-based maintenance data at the remote service location, analyzing the condition-based maintenance data according to a failure prediction engine including failure prediction criteria, and performing an action based on predefined deviation from the failure prediction criteria. Apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: Methods of troubleshooting non-event malfunctions include providing a database including pre-populated non-event issues and associated corrective actions, receiving search criteria regarding a particular non-event issue via entry of a search string at a user interface, parsing and normalizing the search string into a meta-data schema to produce a normalized search string, searching the database with the normalized search string to generate a listing of one or more particular corrective actions, and receiving the listing of one or more particular corrective actions that are associated with the normalized search string. Apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: Methods of troubleshooting non-event malfunctions. The methods include providing a database including pre-populated non-event issues and associated corrective actions, inputting search criteria regarding a particular non-event issue via entry of a search string at the user interface, parsing and normalizing the search string into a meta-data schema to produce a normalized search string, searching the database with the normalized search string to generate a listing of one or more particular corrective actions, and receiving the listing of one or more particular corrective actions that are associated with the normalized search string. Apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: Methods of troubleshooting non-event malfunctions. The methods include providing a database including pre-populated non-event issues and associated corrective actions, inputting search criteria regarding a particular non-event issue via entry of a search string at the user interface, parsing and normalizing the search string into a meta-data schema to produce a normalized search string, searching the database with the normalized search string to generate a listing of one or more particular corrective actions, and receiving the listing of one or more particular corrective actions that are associated with the normalized search string. Apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: Methods of troubleshooting non-event malfunctions. The methods include providing a database including pre-populated non-event issues and associated corrective actions, inputting search criteria regarding a particular non-event issue via entry of a search string at the user interface, parsing and normalizing the search string into a meta-data schema to produce a normalized search string, searching the database with the normalized search string to generate a listing of one or more particular corrective actions, and receiving the listing of one or more particular corrective actions that are associated with the normalized search string. Apparatus configured to carry out the methods are provided, as are other aspects.

Abstract: Methods of predicting failures of in vitro diagnostic instruments. The methods include monitoring with one or more monitoring devices associated with one or more components of the in vitro diagnostic instrument, one or more condition-based maintenance (CBM) parameters of the in vitro diagnostic instrument, providing the one or more condition-based maintenance parameters to a local database, transmitting condition-based maintenance data to a remote service location, storing the condition-based maintenance data at the remote service location, analyzing the condition-based maintenance data according to a failure prediction engine including failure prediction criteria, and performing an action based on predefined deviation from the failure prediction criteria. Apparatus configured to carry out the methods are provided, as are other aspects.