JP2005030762A - Automatic analysis system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a function capable of acquiring easily an analysis result by simplifying an analysis work in order to grasp the present operation efficiency and an efficient operation form. <P>SOLUTION: This automatic analysis system is equipped with analysis units for analyzing a sample, a conveyance mechanism for conveying the sample to the analysis unit, and a control mechanism for controlling the analysis units and the conveyance mechanism. In the system, a plurality of analysis units are connected to the conveyance mechanism. The system is also equipped with a storage means for storing information on at least the analysis item and the measuring day of each sample as much as a portion in a period of two days or longer. Since the system has a function for accumulating analysis request information utilized in daily analysis, an operation function and a screen for controlling them, the analysis work by an analyzer becomes possible, while omitting a work for prior information collection. In addition, prior acquisition of the analysis request information, information transfer to a dedicated simulator, result reflection to the analyzer or the like can be performed simply, and analysis can be performed at any time as the need arises, and the efficient operation form of the analyzer can be maintained. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an automatic analysis system including an analysis unit for performing qualitative and quantitative analysis of a biological sample such as blood and urine, and in particular, a plurality of analysis units having different processing capacities are combined by a transfer line, and a specimen is transferred to the transfer line. It is related with the automatic analysis system of the system which conveys to the target analysis unit.
[0002]
[Prior art]
Automatic analyzers that automatically perform qualitative and quantitative analysis of biological samples such as serum and urine can improve measurement accuracy and shorten measurement time, and are widely used mainly in examination centers and large hospitals. An automatic analysis system that combines multiple analysis units with a transport line and transports the sample to the target analysis unit through the transport line for analysis, optimizes the operation according to the operating status of the device, the device operation policy, etc. Can be planned. Such an automatic analysis system has been proposed in, for example, Patent Document 1.
[0003]
Patent Document 1 discloses that the relationship between the analysis unit to be used and the position where the analysis unit is arranged can be set via a setting screen.
[0004]
[Patent Document 1]
Japanese Patent Laid-Open No. 10-282110
[0005]
[Problems to be solved by the invention]
In order to set the positional relationship between the analysis unit used and the analysis unit as in Patent Document 1, the operation status of the apparatus (specimen to be analyzed) at each examination center or hospital that currently uses the automatic analysis system Depending on the operation policy (whether the primary purpose is to quickly generate analysis results, or the primary reason is to reduce equipment operation costs by batch processing analysis) We conduct simulations for optimal placement of analysis units and are considering efficient item placement.
[0006]
Before introducing the analysis system, the automatic analyzer manufacturer engineer collects the current request status and analyzes the request status to determine the optimal item layout for the analysis unit. The results are reflected as parameters of the analyzer, and are proposed to hospitals and inspection centers as customers.
[0007]
However, once the automatic analysis system was introduced, it was not enough to cope with changes in operating conditions and operating policies. This seems to be because the work of collecting and analyzing the request status is complicated and time-consuming.
[0008]
The current automatic analyzer has a function of storing analysis request information for each specimen, but usually has a function of automatically deleting the previous day before starting the analysis every day. This is because it is not necessary to save the memory and the storage device does not have the capacity to store for several days.
[0009]
Further, in the analysis of the item arrangement, the analyst is requested to have knowledge necessary for the analysis such as a capability difference between the analysis units. Therefore, the analysis result of the item arrangement may vary depending on the level of knowledge and experience of the analyst.
[0010]
An object of the present invention is to provide an automatic analysis system capable of automatically performing optimization simulation such as the arrangement of analysis units and the arrangement of analysis items at that time.
[0011]
[Means for Solving the Problems]
In order to achieve the above object, in the present invention, the analyzer has a function of storing a combination of analysis item request information for each sample for two days or more as information on the current request status together with the measurement date and time. . Based on the information on the analysis items stored in this way, it is preferable to calculate the optimal arrangement of the analysis units at that time and the optimal combination of reagents mounted in each analysis unit. In order to perform an actual optimal combination of calculations, it is preferable that information of analysis request items for at least about one month is stored.
[0012]
Therefore, it is desirable to reduce as much as possible the amount of storage capacity used by the storage means by encoding the analysis request item information. For example, if there are 100 types of analysis items, the analysis items are stored in correspondence with 100 codes such as 00, 01, 02,. Can be reduced.
[0013]
If necessary, the size of the file may be reduced by using a known information compression means, or the storage means in the analysis system is not burdened by transferring information to the outside through a communication line. You can also choose a method.
[0014]
The automatic analysis system has a program that calculates the sample processing capacity using the accumulated request status and analyzes the item layout for efficient processing. The arrangement can be known by the system operator. It is preferable to mount a screen as an interface for issuing analysis instructions.
[0015]
Furthermore, it is preferable to mount a function for reflecting the analysis result as item arrangement information to the analyzer and a screen as an interface for instructing the reflection.
[0016]
In addition, by installing the function for storing the combination of request information and the analysis logic in an external computer connected in a state where information communication is possible, not in the analyzer, the combination of request information can be sent to the external computer in the analyzer. It is also preferable to have a function of transmitting and a function of receiving an analysis result obtained by an external computer.
[0017]
DETAILED DESCRIPTION OF THE INVENTION
An automatic analyzer to which the present invention is applied is an analyzer in which a plurality of analysis units are combined and operated as one system. Even if the analyzer of this form has a plurality of analysis units, there is a control unit that manages and controls these analysis units in an integrated manner. And since the information of the whole analyzer is managed rather than each analysis unit, it has a function of utilizing this information. A specific configuration example according to the present invention is shown in FIG. As shown in FIG. 1, an analyzer parameter storage unit 100 that stores analysis parameters including analysis item arrangement information used in an analyzer, and a request information storage unit that stores analysis item request information used at the time of measurement. 200, an information display for analyzing the item arrangement, setting an analysis condition, an item arrangement analysis condition setting screen 300 for giving an analysis instruction, and a data processing unit for performing an operation based on the request information accumulated according to the analysis condition 400, an item arrangement analysis result display screen 500 for instructing the display and recalculation of the item arrangement analysis result and the reflection to the analysis parameter.
[0018]
The request information storage unit 200 includes analysis item request information for each sample for the analyzer to measure the sample. This analysis request information is selected from an item list in the analyzer terminal together with sample information such as sample number and ID number as key information, or a method in which information replaced with information such as a barcode is read with a dedicated reader In addition, it is obtained by a method of receiving from a host system connected via a communication cable or a wireless communication environment, etc., and the necessary items are analyzed by collating with the key information of the input specimen.
[0019]
The analysis request information and measurement order for each specimen are information necessary for the analysis. However, this analysis item request information is usually deleted the day before the start of analysis every day. Therefore, an area for separately storing analysis item request information is provided, and when measurement is performed based on the analysis request information, the measurement date, measurement time, and analysis request information are stored. An example of information to be stored is shown in FIG. The first column in order from the left represents the sequence number in the storage order. The second column represents the measurement date. The third column represents the measurement time. The measurement date and measurement time may be arbitrarily set by the operator in addition to those by the built-in timer. The fourth column represents the analysis request information as a combination of two consecutive digits. For example, when four items of code numbers 1, 5, 13, and 27 are analyzed in a certain sample, even if it is changed to the enumeration information of the number 010513127, it can be easily restored by the rule divided by two digits. In the description, it is divided into two digits. However, if the number of items exceeds 100 items, the rule may be changed to a three-digit division in advance, and the number is not fixed to two digits.
[0020]
The amount of information to be stored has a certain upper limit, and if it exceeds the upper limit, it is deleted from the old information, or when it exceeds the upper limit, storage is stopped, and a warning or warning message informs that it can no longer be stored Further, it may be in a form of storing unlimitedly without setting an upper limit.
[0021]
The item placement analysis work is performed by inputting various conditions necessary for the analysis on the item placement analysis condition setting screen 300. The various conditions refer to the range of storage analysis item request information used for analyzing the item arrangement, the analysis target analysis item, and the selection of the analysis form such as cost priority and processing speed priority. Therefore, the item arrangement analysis condition setting screen 300 includes an area for confirming the storage status and an area for confirming the analysis item. In addition, these areas may share the screen that the analyzer originally has.
[0022]
Next, the processing capability is analyzed based on the analysis item request information accumulated in the request information storage unit 200. An analysis instruction is performed on the item arrangement analysis condition setting screen 300. FIG. 3 shows a specific example of the item arrangement analysis condition setting screen 300. As shown in FIG. 3, the item arrangement analysis condition setting screen 300 includes an analysis condition setting unit 310, an analysis information display unit 320, and an analysis execution instruction unit 330. The analysis condition setting unit 310 includes items for setting conditions necessary for analysis. The analysis information display unit 320 includes a request information list 321 for displaying currently stored analysis request information and a set analysis item list 322 for displaying analysis item request information set in the analyzer. In the setting analysis item list 322, when a check box is added to each item and the analysis condition setting unit 310 is set to limit the analysis target items, only the items for which the check box of the setting analysis item list 322 is enabled are analyzed. It becomes the object of. The analysis execution instructing unit 330 includes an analysis execution key 331, and the arithmetic processing is started by enabling this key.
[0023]
FIG. 4 shows the flow of arithmetic processing. As shown in FIG. 4, first, the analysis item request information specified on the analysis condition setting screen 300 is extracted from the request information storage unit 200. At the same time, conditions such as emphasis on processing capability and importance on reagent cost set on the analysis condition setting screen 300 are also obtained.
[0024]
Information such as the number of requests for analysis items and the probability of simultaneous request between items is created from the analysis item request information (S1). Based on the created information, several types of item arrangement examples are created (S2). An example of the procedure for determining the item arrangement example is shown in FIG. There are many analysis units that combine a high throughput analysis unit and a medium throughput analysis unit. A high-throughput analysis unit is effective for large-volume sample processing, but it is easy to generate reagent loss for items that are not frequently requested. An analysis unit with medium throughput is not suitable for processing a large amount of samples, but can operate effectively for items with a low request frequency. Based on these features, first, as shown in FIG. In this example, a two-unit configuration of an analysis unit with high throughput and an analysis unit with medium throughput is taken as an example (T1). If there is a high-throughput analysis unit, consider the item layout of the high-throughput analysis unit. First, as procedure 1, all items are arranged in the order of items with the highest request frequency (T2). Considering the difference in processing capacity of the analysis units as step 2, assign items from the most frequently requested analysis units in order to the analysis units with higher throughput until the balance of work between the analysis units is balanced, and determine the temporary arrangement. (T3). Items having a high simultaneous analysis request rate between items temporarily assigned as procedure 3 are made the same block (T4). If there is an item with a low simultaneous analysis request rate as procedure 4, it moves to another analysis unit (T5). Next, in step 5, it is confirmed whether the work amount between the analysis units can be balanced by moving the destination item to the analysis unit with high throughput. If it cannot be removed, the exchange of items is restored (T6). If there are other items with a low simultaneous analysis request rate, repeat steps 4 and 5. If the amount of work between the analysis units is balanced by moving items, or if there are no items with a low simultaneous analysis request rate to be examined, the current provisional item placement is set as the item placement of the high-throughput analysis unit. Move. In the procedure 6, the remaining items are arranged as items of the analysis unit with medium throughput (T7).
[0025]
The sample processing capacity per hour is calculated for the created item arrangement example (S3).
[0026]
The calculation actually traces the flow of the sample when each sample is installed at the sample installation time included in the analysis item request information. That is, the sample transfer time from sample input to each analysis unit, the required time from the loading into each analysis unit to the start of sampling, the required sampling time for each item, the time taken out from each analysis unit after sampling is completed Etc. are defined in advance, each required time is accumulated in the erection time of each sample, the flow of the sample is simulated, and the passage time of each check point provided in advance is obtained. The sample throughput per hour is obtained from the check point passage time of each sample. This process is performed as many times as the number of item arrangement examples created.
[0027]
The obtained sample throughput per hour is compared, and the item arrangement example with the highest throughput is determined as an efficient condition (S4).
[0028]
The calculation result is displayed as item arrangement information on the item arrangement analysis result display screen 500 (S5). FIG. 6 shows a specific example of the item arrangement analysis result display screen 500. As shown in FIG. 6, the item arrangement analysis result display screen 500 includes an item arrangement display unit 510, a calculation result display unit 520, and an instruction unit 530. The item arrangement display unit 510 displays the item arrangement obtained by the calculation. The item arrangement displayed on the item arrangement display unit 510 enables editing of the result of moving the item name to another unit by an operation such as drag and drop, for example. The calculation result display unit 520 displays a result such as a processing speed obtained by calculation. The instruction unit 530 includes a key 531 for instructing recalculation and a key 532 for registering the calculation result as an analysis parameter of the analyzer. When the key 531 becomes valid, the instruction unit 530 uses the item arrangement edited by the item arrangement display unit 510. Perform the operation. When the key 532 is activated, the item arrangement displayed on the item arrangement display unit 510 is reflected in the item arrangement information of the analyzer.
[0029]
FIG. 7 shows another specific configuration example according to the present invention. As shown in FIG. 7, the analyzer 600 and the external computer 700 are roughly divided into components, and the analyzer 600 and the external computer 700 are connected via a communication medium such as a LAN, a telephone line, and wireless communication. It is connected and can send and receive information.
[0030]
The analyzer 600 side has an analyzer parameter storage unit 610 storing analysis parameters including analysis item arrangement information used by the analyzer, and a format for transferring analysis item request information used at the time of measurement to the external computer 700. A request information conversion unit 620 that converts and transmits to the external computer 700 and an analysis result display screen 630 that displays the analysis result received from the external computer 700 are configured.
[0031]
The external computer 700 side displays a request information storage unit 710 for storing analysis item request information transmitted from the analyzer, displays information for analyzing the item arrangement, sets analysis conditions, and further provides an item instruction for analyzing Analysis condition setting screen 720, data processing unit 730 that performs calculations based on the request information accumulated according to the analysis conditions, display of item arrangement analysis results and instructions for recalculation, and item arrangement analysis results for instructing transmission to the analyzer A display screen 740 is used.
[0032]
The request information storage unit 710 includes analysis item request information for each sample for the analyzer to measure the sample. This analysis request information is selected from an item list in the analyzer terminal together with sample information such as sample number and ID number as key information, or a method in which information replaced with information such as a barcode is read with a dedicated reader In addition, it is obtained by a method of receiving from a host system connected via a communication cable or a wireless communication environment, etc., and the necessary items are analyzed by collating with the key information of the input specimen.
[0033]
The analysis request information and measurement order for each specimen are information necessary for the analysis. However, this analysis item request information is usually deleted the day before the start of analysis every day. Therefore, the analysis item request information is converted by the request information conversion unit 620 so that it can be stored in the request information storage unit 710 of the external computer 700 and automatically transmitted. Request information storage
In 710, the analysis request item information transmitted from the request information conversion unit 620 is stored. An example of information to be stored is shown in FIG. The first column in order from the left represents the sequence number in the storage order. The second column represents the measurement date. The third column represents the measurement time. The measurement date and measurement time may be arbitrarily set by the operator in addition to those by the built-in timer. The fourth column represents the analysis request information as a combination of two consecutive digits. For example, when four items of code numbers 1, 5, 13, and 27 are analyzed in a certain sample, even if it is changed to the enumeration information of the number 010513127, it can be easily restored by the rule divided by two digits. In the description, it is divided into two digits. However, if the number of items exceeds 100 items, the rule may be changed to a three-digit division in advance, and the number is not fixed to two digits.
[0034]
The amount of information to be stored has a certain upper limit, and if it exceeds the upper limit, it is deleted from the old information, or when it exceeds the upper limit, storage is stopped, and a warning or warning message informs that it can no longer be stored Further, it may be in a form of storing unlimitedly without setting an upper limit.
[0035]
The item placement analysis work is performed by inputting various conditions necessary for the analysis on the item placement analysis condition setting screen 720. The various conditions refer to the range of storage analysis item request information used for analyzing the item arrangement, the analysis target analysis item, and the selection of the analysis form such as cost priority and processing speed priority. Therefore, the item arrangement analysis condition setting screen 720 has an area for checking the storage status and an area for checking the analysis items. In addition, these areas may share the screen that the analyzer originally has.
[0036]
Next, the processing capability is analyzed based on the analysis item request information accumulated in the request information storage unit 710. The analysis is instructed on the item arrangement analysis condition setting screen 720. FIG. 3 shows a specific example of the item arrangement analysis condition setting screen 720. As shown in FIG. 3, the item arrangement analysis condition setting screen 720 includes an analysis condition setting unit 310, an analysis information display unit 320, and an analysis execution instruction unit 330. The analysis condition setting unit 310 includes items for setting conditions necessary for analysis. The analysis information display unit 320 includes a request information list 321 for displaying currently stored analysis request information and a set analysis item list 322 for displaying analysis item request information set in the analyzer. In the setting analysis item list 322, when a check box is added to each item and the analysis condition setting unit 310 is set to limit the analysis target items, only the items for which the check box of the setting analysis item list 322 is enabled are analyzed. It becomes the object of. The analysis execution instructing unit 330 includes an analysis execution key 331, and the arithmetic processing is started by enabling this key.
[0037]
FIG. 4 shows the flow of arithmetic processing. As shown in FIG. 4, first, the analysis item request information specified on the analysis condition setting screen 300 is extracted from the request information storage unit 200. At the same time, conditions such as emphasis on processing capability and importance on reagent cost set on the analysis condition setting screen 300 are also obtained.
[0038]
Information such as the number of requests for analysis items and the probability of simultaneous request between items is created from the analysis item request information (S1). Based on the created information, several types of item arrangement examples are created (S2). An example of the procedure for determining the item arrangement example is shown in FIG. There are many analysis units that combine a high throughput analysis unit and a medium throughput analysis unit. A high-throughput analysis unit is effective for large-volume sample processing, but it is easy to generate reagent loss for items that are not frequently requested. An analysis unit with medium throughput is not suitable for processing a large amount of samples, but can operate effectively for items with a low request frequency. Based on these features, first, as shown in FIG. In this example, a two-unit configuration of an analysis unit with high throughput and an analysis unit with medium throughput is taken as an example (T1). If there is a high-throughput analysis unit, consider the item layout of the high-throughput analysis unit. First, as procedure 1, all items are arranged in the order of items with the highest request frequency (T2). Considering the difference in processing capacity of the analysis units as step 2, assign items from the most frequently requested analysis units in order to the analysis units with higher throughput until the balance of work between the analysis units is balanced, and determine the temporary arrangement. (T3). Items having a high simultaneous analysis request rate between items temporarily assigned as procedure 3 are made the same block (T4). If there is an item with a low simultaneous analysis request rate as procedure 4, it moves to another analysis unit (T5). Next, in step 5, it is confirmed whether the work amount between the analysis units can be balanced by moving the destination item to the analysis unit with high throughput. If it cannot be removed, the exchange of items is restored (T6). If there are other items with a low simultaneous analysis request rate, repeat steps 4 and 5. If the amount of work between the analysis units is balanced by moving items, or if there are no items with a low simultaneous analysis request rate to be examined, the current provisional item placement is set as the item placement of the high-throughput analysis unit. Move. In the procedure 6, the remaining items are arranged as items of the analysis unit with medium throughput (T7).
[0039]
The sample processing capacity per hour is calculated for the created item arrangement example (S3).
[0040]
The calculation actually traces the flow of the sample when each sample is installed at the sample installation time included in the analysis item request information. That is, the sample transfer time from sample input to each analysis unit, the required time from the loading into each analysis unit to the start of sampling, the required sampling time for each item, the time taken out from each analysis unit after sampling is completed Etc. are defined in advance, each required time is accumulated in the erection time of each sample, the flow of the sample is simulated, and the passage time of each check point provided in advance is obtained. The sample throughput per hour is obtained from the check point passage time of each sample. This process is performed as many times as the number of item arrangement examples created.
[0041]
The obtained sample throughput per hour is compared, and the item arrangement example with the highest throughput is determined as an efficient condition (S4).
[0042]
The calculation result is displayed on the item arrangement analysis result display screen 740 as item arrangement information (S5). FIG. 8 shows a specific example of the item arrangement analysis result display screen 740. As shown in FIG. 8, the item arrangement analysis result display screen 740 includes an item arrangement display unit 741, a calculation result display unit 742, and an instruction unit 743. The item arrangement display unit 741 displays the item arrangement obtained by the calculation. The item arrangement displayed on the item arrangement display unit 741 enables editing of the result of moving the item name to another unit by an operation such as drag and drop, for example. The calculation result display unit 742 displays a result such as a processing speed obtained by the calculation. The instruction unit 743 includes a key 801 for instructing recalculation and a key 802 for transmitting the calculation result to the analyzer. When the key 801 is enabled, the calculation by the item arrangement edited by the item arrangement display unit 741 is performed. carry out. When the key 802 is activated, the item arrangement displayed on the item arrangement display unit 741 is transmitted to the analyzer 600.
[0043]
The analyzer 600 displays the item arrangement information transmitted from the external computer 700 on the analysis result display screen 630. FIG. 9 shows a specific example of the analysis result display screen 630 on the analyzer 600 side. As shown in FIG. 9, the analysis result display screen 630 includes an item arrangement display unit 631, a key 632 for reflecting item arrangement information as an analysis parameter, and a key 633 for discarding received item arrangement information.
[0044]
【The invention's effect】
According to the present invention, the analysis item request information necessary for the analysis can be stored in the analyzer, so that it is possible to perform analysis using the latest information immediately when necessary without the need to collect in advance. become. In addition, since analysis conditions can be set on the analyzer screen, it is not necessary to prepare hardware such as a personal computer or analysis software for analysis, and the work of moving information necessary for analysis can be omitted. . Furthermore, by having the function of reflecting the analysis result in the analysis parameter, the work of changing the analysis parameter setting can be reduced. Therefore, it is possible to easily obtain an environment for operating the analyzer efficiently.
[0045]
In addition, the method for accumulating information externally mentioned in another specific example reduces the load of analyzer development because fewer functions are installed in the analyzer than the method for accumulating in the analyzer. I can do things. In addition, since information from multiple connected analyzers can be centrally managed, it can be used as information that simulates not only the analysis of a single analyzer but also the entire laboratory, such as sample distribution between analyzers. Things will be possible.
[Brief description of the drawings]
FIG. 1 is a configuration example of an embodiment of the present invention.
FIG. 2 shows stored information indicating an embodiment of the present invention.
FIG. 3 is an analysis condition setting screen showing an embodiment of the present invention.
FIG. 4 is a flow of item arrangement analysis showing an embodiment of the present invention.
FIG. 5 is a procedure for examining an item arrangement example according to an embodiment of the present invention.
FIG. 6 is an analysis information display screen showing an embodiment of the present invention.
FIG. 7 shows a configuration example of one embodiment of the present invention.
FIG. 8 is an analysis result display screen showing an embodiment of the present invention.
FIG. 9 is an analysis result display screen showing an embodiment of the present invention.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 100 ... Analyzer parameter storage part, 200 ... Request information storage part, 300 ... Analysis condition setting screen, 310 ... Analysis condition setting part, 320 ... Analysis information display part, 321 ... Request information list, 322 ... Setting analysis item list, 330 ... Analysis execution instruction unit, 331 ... Analysis execution key, 400 ... Data processing unit, 500,630 ... Analysis result display screen, 510,631,741 ... Item arrangement display unit, 520,742 ... Calculation result display unit, 530 ... Instruction , 531 ... Key for instructing recalculation, 532 ... Key for registering the calculation result as an analysis parameter of the analyzer, 600 ... Analyzer, 610 ... Analyzer parameter storage unit, 620 ... Request information conversion unit, 632 ... Item arrangement Key for reflecting information as an analysis parameter, 633... Key for discarding received item arrangement information, 700... External computer, 71 ... Request information storage unit, 720 ... Item arrangement analysis condition setting screen, 730 ... Data processing unit, 740 ... Item arrangement analysis result display screen, 743 ... Instruction unit, 801 ... Key for instructing recalculation, 802 ... Analysis of calculation result Key to send to the machine.

Claims (7)

An analysis unit for analyzing the sample;
A transport mechanism for transporting the sample to the analysis unit;
An automatic analysis system comprising a control mechanism for controlling the analysis unit and the transport mechanism, and a plurality of the analysis units connected to the transport mechanism;
An automatic analysis system comprising storage means for storing at least two days or more of information relating to analysis items of individual samples and measurement dates. The automatic analysis system according to claim 1,
The information relating to the analysis item of each sample is stored in the storage means as a combination of codes obtained by encoding the analysis item. 3. The automatic analysis system according to claim 1 or 2, wherein a preset upper limit is set for the information amount of the information stored in the storage means, and when the upper limit is exceeded, old information exceeding the upper limit is deleted. An automatic analysis system characterized by having a function of notifying that the amount of information has exceeded the upper limit. In the automatic analysis system in any one of Claims 1-3,
Of the information stored in the storage means, comprising a designation means for designating a period during which the analysis was performed,
An automatic analysis system comprising a calculation means for calculating the arrangement of a reagent that maximizes the processing efficiency based on information corresponding to a period designated by the designation means stored in the storage means. The automatic analysis system according to claim 4, wherein
An automatic analysis system characterized in that the designation means can further designate either an analysis target analysis item or an analysis form. The automatic analysis system according to claim 5, wherein
The automatic analysis system characterized in that the specifying means includes display means for displaying items that can be specified on a screen and for specifying an item to be specified from the display. An analysis unit for analyzing the sample;
A transport mechanism for transporting the sample to the analysis unit;
An automatic analysis system comprising a control mechanism for controlling the analysis unit and the transport mechanism, and a plurality of the analysis units connected to the transport mechanism;
Storage means for storing at least two days or more of information related to analysis items and measurement dates for each sample, and designation means for designating a period during which analysis is performed among the information stored in the storage means ,
A connection for connecting, via a communication unit, an arithmetic unit provided with an arithmetic unit that calculates an arrangement of a reagent that maximizes processing efficiency based on information corresponding to a period specified by the specifying unit stored in the storage unit An automatic analysis system characterized by comprising means.

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