A method for predicting a failure state of an automated analyzer for analyzing a biological sample is disclosed. The method includes obtaining a prediction algorithm for predicting a failure state of an automated analyzer. The prediction algorithm is configured to predict a failure state of the automated analyzer based on calibration data and/or quality control data generated by an automated analyzer. The method also includes obtaining calibration data and/or quality control data of the automated analyzer and processing the calibration data and/or quality control data by using the prediction algorithm to predict a failure state of the automated analyzer.

To improve diagnostic accuracy of a sensor of an automatic analyzer. A diagnostic system for diagnosing a sensor that is provided in an automatic analyzer and outputs an analog electrical signal includes a memory that stores data of the electrical signal output by the sensor and a replacement history of the sensor, and a processing device that processes data recorded in the memory, in which the processing device reads, from the memory, data for a set reference period from among electrical signal data output by a past sensor that was used in the automatic analyzer, calculates a statistical value of the data for a reference period, reads, from the memory, data recorded during a set evaluation period from among electrical signal data output by a sensor for diagnosis that is being used in the automatic analyzer, calculates a statistical value of the data for an evaluation period, and determines an abnormality of the sensor for diagnosis based on a difference obtained from the statistical value of the reference period and the statistical value of the evaluation period.

The specimen analyzer includes: an input unit which receives an input of subject attribute information; an analysis unit which performs measurement of a specimen collected from a subject, and which performs analysis of the specimen based on a measurement result and the subject attribute information received by the input unit; and a controller which causes the analysis unit to be incapable of analyzing the specimen unless the input of the subject attribute information is performed with the input unit.

A specimen analyzer includes: an analysis unit which analyzes a specimen collected from a subject and generates an analysis result including a component amount in the specimen; an output unit which outputs the analysis result; and a controller which causes the output unit to output or not to output the component amount based on a comparison between the component amount and a determination reference value.

Methods and systems are presented for analyzing the blood of a living being. Equations are presented for volume-aware extension of the concept of Hematocrit. A method for calculating these volume-aware measures and using said measures to evaluate and guide possible treatments is described. A system comprising an automated analyzer and a processor and other components is described which can carry out said calculations. Methods of treatment for volume abnormalities are described which are guided by the volume-aware Hct measures. In one exemplary embodiment, a method of treatment for plasma volume excess using ultrafiltration is described. In another exemplary embodiment, a method of treatment for red cell volume excess using erythrocytapheresis is described.

Provided are an automatic analysis device and a maintenance support system which prevent a failure that occurs between regular inspection periods to thereby reduce the downtime of the automatic analysis device. A maintenance support system acquires, from each of a plurality of automatic analysis devices (100), pulse information transmitted from the automatic analysis device (100) provided with a mechanism which is driven by a pulse motor, and a transmission means which transmits pulse information including tow among a driving pulse value for driving the pulse motor, a consumed pulse amount that is a pulse amount consumed when the pulse motor has actually been driven, and a remaining pulse amount obtained by subtracting the consumed pulse amount from the driving pulse value, and stores at least the consumed pulse amount.

A kit and method for evaluation of the quality and the operating parameters of any types of fully automated open ELISA instruments are disclosed. The kit and method can be used to reliably assess quality control parameters including precision, volume removal accuracy, plate reader accuracy, plate reader linearity, plate washer quality, drift absence, and carryover absence. The evaluation can be completed in a timely and cost-effective manner and provide laboratories with the ability to readily validate the operation and performance of a fully automated ELISA instrument.

Systems, apparatuses, and methods detect an error in a laboratory analyzer. A method can include determining a time delta between consecutive measurements of an analyte made on a patient using a laboratory analyzer, determining whether the time delta is within a specified number of days window, a specified time of day window, and is within a same season, determining a measurement value delta between the first and second measurements of the consecutive measurements if the time delta is within the specified number of days, time of day windows, and the same season, calculating an average of deltas, the average of deltas including a measurement value delta between the consecutive measurements, determining whether the average of deltas is within a specified range of acceptable average of delta values, and issuing an alert if the average of deltas is not within the specified range of acceptable average of delta values.

Systems, apparatuses, and methods detect an error in a laboratory analyzer. A method can include determining a time delta between consecutive measurements of an analyte made on a patient using a laboratory analyzer, determining whether the time delta is within a specified number of days window, a specified time of day window, and is within a same season, determining a measurement value delta between the first and second measurements of the consecutive measurements if the time delta is within the specified number of days, time of day windows, and the same season, calculating an average of deltas, the average of deltas including a measurement value delta between the consecutive measurements, determining whether the average of deltas is within a specified range of acceptable average of delta values, and issuing an alert if the average of deltas is not within the specified range of acceptable average of delta values.

Such a parts anomaly detection system is provided as being able to detect the anomaly of the parts of the liquid transport system of the automatic analyzer without delay.

The parts anomaly detection system to detect the anomaly of the parts of the liquid transport system (22) which absorbs and discharges liquid with respect to a sensor (21) for sample inspection of an automatic analyzer (1) comprises: storage devices (31, 41) to store data of electric signals outputted by the sensor and processing devices (32, 42) to process the data recorded in the storage devices, in which the processing devices detect the anomaly of the parts of the liquid transport system based on the electric signals.