Abstract: Systems and methods include an optimization-based load planning module including a data-reduction scheme for analyzers of bio-fluid samples. The optimization-based load planning module is executable on a computer server and is configured to optimize assay type assignments across a large number of analyzers based on one or more objectives, such as: load balancing, efficient reagent usage, reduced turn-around-time, reduced quality assurance costs, and/ or improved system robustness. The optimization-based load planning module uses a data-reduction scheme to generate a load plan comprising computer-executable instructions configured to cause a system controller of a diagnostic laboratory system to assign each of the requested test types to be performed over the planning period to one or more selected analyzers in accordance with the one or more preferences or priorities. Other aspects are also described.

Abstract: Methods of scheduling maintenance on a plurality of automated testing apparatus and possibly also on ancillary test processing apparatus are provided. The methods include inputting identification data on the plurality of automated testing apparatus to be maintained, inputting maintenance requirement data for the maintenance of each of the apparatus, inputting demand constraint data, operating on the identification data, maintenance requirement data, and demand constraint data using an optimization program, such as mixed integer linear programming (MILP), subject to demand constraints and at least one objective, and outputting an optimized maintenance schedule for a planning period. Systems and apparatus configured to carry out the methods are also provided, as are other aspects.

Abstract: Systems and methods include an optimization-based load planning module for laboratory analyzers of bio-fluid samples. The optimization-based load planning module is executable on a computer server and is configured to optimize assay (lab test) assignments across a large number of laboratory analyzers based on one or more of the following user selected and weighted objectives: reduced turn-around-time, load balancing, efficient reagent usage, lower quality assurance costs, and/or improved system robustness. The optimization-based load planning module outputs a load plan comprising computer executable instructions configured to cause a system controller of a laboratory analyzer system to schedule and direct each requested test to be performed at one or more selected laboratory analyzers of the laboratory analyzer system in accordance with the user selected and weighted objectives. Other aspects are also described.

Abstract: An optimization method of a diagnostic laboratory system. The method includes receiving, at a system controller, computer-readable data comprising an inventory of a plurality of analyzers included within the diagnostic laboratory system, and types of tests and numbers of the tests to be performed on samples by the diagnostic laboratory system over a planning period; and determining, via a reagent pack optimization module executing on the system controller, a reagent pack loading plan over the planning period. Diagnostic laboratory systems are disclosed, as are other aspects.

Abstract: Systems and methods include an optimization-based load planning module for laboratory analyzers of bio-fluid samples. The optimization-based load planning module is executable on a computer server and is configured to optimize assay (lab test) assignments across a large number of laboratory analyzers based on one or more of the following user selected and weighted objectives: reduced turn-around-time, load balancing, efficient reagent usage, lower quality assurance costs, and/or improved system robustness. The optimization-based load planning module outputs a load plan comprising computer executable instructions configured to cause a system controller of a laboratory analyzer system to schedule and direct each requested test to be performed at one or more selected laboratory analyzers of the laboratory analyzer system in accordance with the user selected and weighted objectives. Other aspects are also described.

Abstract: Methods of scheduling maintenance on a plurality of automated testing apparatus and possibly also on ancillary test processing apparatus. The methods include inputting identification data on the plurality of automated testing apparatus to be maintained, inputting maintenance requirement data for the maintenance of each of the apparatus, inputting demand constraint data, operating on the identification data, maintenance requirement data, and demand constraint data using an optimization program, such as mixed integer linear programming (MILP), subject to demand constraints and at least one objective, and outputting an optimized maintenance schedule for a planning period. Systems and apparatus configured to carry out the methods are provided, as are other aspects.