A status visualization method of a diagnostic laboratory system. The status visualization method includes receiving, at a system controller, computer-readable data comprising analyzers included within the diagnostic laboratory system, and test demand for types of tests and number of the tests to be performed on samples by the analyzers, wherein the analyzers each include consumable items and maintenance items. The method further includes determining, via a walk-away time estimation module executing on the system controller, an estimated walk-away time for the analyzers based upon the test demand and status of the consumable items and maintenance items. Diagnostic laboratory systems with walk-away time estimation are disclosed, as are other aspects.

Systems, methods and computer-readable media are provided for determining a sequential ordering of predefined transfers for transferring an object from source points of a source array to destination points of a destination array in a laboratory automation system. For each transition to a next transfer, first and second component travel costs between current and next transfer positions are determined. A transition travel cost is determined from the first and second component travel costs. The cost of each sequential ordering of the predefined transfers is based upon an aggregate of the transition travel costs for each ordering of the transfers. The resolved sequential ordering may be based upon the sequential ordering that has the lowest cost.

A method to store sample tubes in a laboratory storage and retrieval system is presented. The laboratory storage and retrieval system comprises a storage section, a database comprising a sample tube inventory of the storage section, a control device, and at least one sample tube transport system. The storage section comprises at least two storage subsections. In a first step of the method, the control device identifies at least two sample tubes with at least one substantially identical sample tube attribute and distributed over the at least two storage subsections. In a second step of the method, the at least one sample tube transport system consolidates the at least two sample tubes in at least one storage subsection, wherein the control device further determines in which of the at least two storage subsections the identified sample tubes are consolidated.

A method of operating an analytical laboratory is presented. The method comprises the steps of: setting a load limit for each laboratory instrument at maximum instrument capacity; dispatching biological samples to laboratory instrument(s) at a dispatch rate not greater than the instrument load limit; each laboratory instrument sending test order queries to the laboratory middleware upon identifying a biological sample; in response to the test order queries transmitting test orders to the laboratory instruments corresponding to the biological samples; the laboratory middleware monitoring a query rate of the plurality of laboratory instruments in order to determine an effective flow rate corresponding to each laboratory instrument; decreasing the load limit of a first laboratory instrument if its effective flow rate is lower than the dispatch rate; increasing the load limit for the first laboratory instrument if its effective flow rate is greater than or equal to the dispatch rate.

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.

A system includes sample containers and a computing system. The sample containers include one or more data storage media configured to store sample information relating to the respective sample contained in each sample container. The sample information include data indicating a sample type, an intended use of the sample contained within the respective sample container, and a sample collection time. The computing system is configured to receive the sample information from the sample containers and determine, based on the sample information, an action for increasing a likelihood that one or more applicable samples of the plurality of samples will be viable for the intended uses of the applicable samples. The computing system is further configured to perform the action.

A method and apparatus for automatic engagement with an analyzer, a computer device and a storage medium The method comprises: acquiring test information of a sample under test and state information of an analyzer, the state information indicating whether the analyzer is in an idle state or an operating state (102); if the analyzer is in an idle state, conveying the sample under test to the analyzer (104); and performing a test on the sample under test according to the test information (106). The method can acquire state information of an analyzer to enable a sample under test to be conveyed to the analyzer timely for performing a test thereon without requiring maintenance personnel to adjust the analyzer according to the state information of the analyzer, thereby reducing manual costs and increasing operation efficiency of the analyzer.

One embodiment of the invention is directed to a method comprising receiving instruction data relating to a sample in a sample container. The method includes generating, by at least one processor using a workflow management layer, a process plan for the sample, and providing the process plan to a process control layer. The process plan comprises a plurality of possible routes. The method also comprises selecting, by the at least one processor using the process control layer, an optimized route within the plurality of possible routes in the process plan, and providing the optimized route to a middleware control layer. The at least one processor and middleware control layer are operable to cause a transport system to proceed along the selected route.

A high-throughput automatic analyzer integrates a biochemical analysis section and a blood coagulation analysis section. The analyzer is capable of achieving a reduction in size, system cost, and lifecycle cost. The automatic analyzer includes: a reaction disk; a first reagent dispensing mechanism that dispenses a reagent to reaction cells on the reaction disk; a photometer that irradiates a reaction solution in the reaction cell with light; a reaction cell cleaning mechanism; a reaction vessel supply unit that supplies a disposable reaction vessel for mixing and reacting a sample and a reagent with each other; a second reagent dispensing mechanism that dispenses a reagent to the disposable reaction vessel; a blood coagulation time measuring section that irradiates a reaction solution in the disposable reaction vessel with light to detect transmitted or scattered light; and a sample dispensing mechanism that dispenses a sample to the reaction cell and the disposable reaction vessel.

A reagent management system is disclosed comprising a reagent container section for receiving reagent containers and a reagent reconstitution device for reconstituting dry, or lyophilized, reagents or concentrated reagents in reagent containers in order to carry out in-vitro diagnostic tests with the reconstituted reagents. A controller is programmed to instruct the reagent reconstitution device to automatically reconstitute an initial volume of a selected reagent type in reagent containers. The initial volume is calculated based on an open container stability time (OCS) of the reconstituted reagent type for each reagent container and on a number of tests to be carried out within the OCS of the reconstituted reagent type. A reagent container for use by the reagent management system and methods of automatically reconstituting a dry, or lyophilized reagent, or a concentrated liquid reagent in a reagent container to carry out an in-vitro diagnostic test with the reagent are disclosed.