Abstract: A computer implemented method for analytical sample container classification, wherein the method comprises obtaining a digital representation of a visual identifier associated with a sample container; identifying at least one apparatus comprised within an analytical system, wherein the analytical system is intended to perform at least one analytical test using the sample container, wherein the at least one apparatus comprises an optical identifier reader; classifying the sample container associated with the visual identifier by characterizing the ability of the optical identifier reader of the at least one apparatus comprised in the analytical system to decode the visual identifier associated with the sample container, to thereby generate a corresponding classification result characterizing the sample container associated with the visual identifier; and outputting a message defining the classification result.

Abstract: A computer-implemented method for optimising an assignment of one or more medical samples to one or more analytical tests to be conducted on those medical samples. The method comprises the steps of: obtaining an initial assignment of the one or more medical samples to the one or more analytical tests; determining a compliance status for the or each medical sample, the compliance status indicating: (i) whether a sample quality metric of the or each medical sample violates an analytical test specification of the medical sample's assigned analytical test(s) in the initial assignment and/or (ii) whether the or each medical sample is unprocessable; and performing a mitigation action if one or more compliance status indicate: (i) that the sample quality metric of a given medical sample violates the analytical test specification and/or (ii) a given medical sample is unprocessable.

Abstract: The present disclosure relates to a laboratory data management system 100 comprising a data source layer 10 comprising at least one laboratory device 11, 12, 13, 14, 15 as a data source, a data adapter layer 20 comprising at least one data source agent 21, 22, 23, 24, 25 configured to obtain data from the at least one data source and to convert the data from a data source format to a data-source independent format, a consumer layer 30 configured for installation and/or execution of consumer application software 31, 32, 33, 34, and a data management layer 40 between the data adapter layer 20 and the consumer layer 30.

Abstract: A computer-implemented method of forecasting future laboratory performance of a laboratory system is presented. The laboratory system comprises a plurality of laboratory instruments configured to perform tests on laboratory test samples, a laboratory middleware, a control unit, and a dashboard display communicatively connected via a network communication connection. The method comprises simulating future laboratory performance of the laboratory system by a simulation module of the control unit based on the optimized laboratory configuration provided by the optimization module and real-time laboratory inputs and test order data, and displaying the simulated future laboratory performance and actual laboratory performance on the dashboard display to the laboratory operator.

Abstract: An analysis system for biological samples is disclosed that includes at least one analyzer with an analytical unit for analyzing the biological samples and an analyzer controller. The analysis system further includes an analyzer data management system (ADMS) operable for receiving a selection of an operating environment chosen from multiple operating environments. In some embodiments, an analytical system is provided which offers a switch between sample testing and software validation on the same hardware, thereby offering efficiency and flexibility. For example, if sample testing is typically restricted to a particular time of the day (e.g., blood banks often get their samples in the evening and conduct the sample testing at night), the daytime hours can be used to validate new software. In such a case, additional instruments for software validation are not required and expensive idle times of analytical systems are reduced.

Abstract: An analysis system for biological samples is disclosed that includes at least one analyzer with an analytical unit for analyzing the biological samples and an analyzer controller. The analysis system further includes an analyzer data management system (ADMS) operable for receiving a selection of an operating environment chosen from multiple operating environments. In some embodiments, an analytical system is provided which offers a switch between sample testing and software validation on the same hardware, thereby offering efficiency and flexibility. For example, if sample testing is typically restricted to a particular time of the day (e.g., blood banks often get their samples in the evening and conduct the sample testing at night), the daytime hours can be used to validate new software. In such a case, additional instruments for software validation are not required and expensive idle times of analytical systems are reduced.