JP2001229291A - Support method and method and device for managing precision - Google Patents

Abstract

PROBLEM TO BE SOLVED: To speedily solve the trouble of an analysis device and to effectively and externally manage precision. SOLUTION: The analysis device 2 and a management device 1 are connected by a network 3. Error information and sample data obtained by measuring precision management substance are transmitted from the analysis device 2 to the management device 1. The analysis device 2 can remotely be operated from the management device 1. When a trouble has occurred, restoration work from the management device 1 can be conducted. The management device 1 sums up sample data and supplies a sum-up result by a web page. The analysis device 2 accesses a web page by a WWW browser and externally manages precision in real time.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technique for facilitating accuracy control and support of an analyzer.

[0002]

2. Description of the Related Art In a clinical test such as a blood test, it is required to analyze various test items using blood, urine and the like as samples. These analysis items are measured by an analyzer that employs a measurement method suited to the characteristics. Analyzers can measure very low concentrations of substances with high sensitivity,
An advanced mechanism is provided so that 10 or more items can be measured from a small amount of sample, and the operation of each mechanism is monitored to maintain the accuracy of the inspection result.

When a trouble occurs in the operation of each mechanism, the analyzer issues an alarm to that effect to notify the user of the trouble of the analyzer. In this case, the user resolves the trouble according to the instruction manual or by calling a support center or the like to explain the situation and according to the explanation of the technician. If the user cannot solve the problem on his own, a technician is dispatched from the support center to solve the problem.

However, in clinical tests, it is not sufficient to monitor the test results of such a biological component with high accuracy by monitoring only the mechanism, and the same sample as the biological component or a sample similar thereto is used as a quality control substance. Quality control for measuring and monitoring the measurement results is performed.

[0005] As the quality control, there are a method of measuring the same quality control substance daily and monitoring whether a stable measurement result is obtained (internal quality control), and a method of measuring with the same analyzer used outside the facility. To monitor whether measurement results similar to the results obtained are obtained (external quality control)
And are used.

However, in order to perform external quality control, the same quality control substance is sent to each facility from the counting organization, the quality control substance is measured at each facility, and the measurement result (hereinafter referred to as sample data) is obtained from each facility. ) To the aggregation agency,
The sample data must be tabulated by a tabulation agency. Each facility knows the result of external quality control only after the result of the tally is returned from the tallying organization. From the sending of the quality control substance to the return of the tallying result, the tallying organization may have to wait until a certain number or more of sample data are returned, and it usually takes one to two months.

[0007]

The first problem relates to a measure to be taken when a trouble occurs. Since the current analyzer operates with advanced program control,
Increasingly, users are unable to solve problems on their own. The user must then wait for the technician to visit and process the facility.

If the trouble is a mechanical trouble that cannot be solved without replacing or adjusting parts of the analyzer, it is inevitable to wait for a visit by the technician. However, this is not the only reason that users cannot solve problems on their own. There are also cases where the user should be able to resolve the trouble, such as when the user cannot adequately explain the trouble situation of the analyzer and cannot resolve it, or when the user cannot properly operate the analyzer to resolve the trouble. Many are seen.

Since measurement cannot be performed while the analyzer is down, it is not possible to report a patient's test result at the time of a doctor's diagnosis in a clinical test. In addition, when blood or the like having low storage stability is used as a sample, even if the sample is measured on the next day, the accuracy of the test result becomes low, so that blood must be collected from the patient again.

As a second problem, the external precision management has to wait for the result of counting by the counting organization as described above, and the number of times is usually once a year, and at most three to four times a year. Only place is done.

[0011] The accuracy control has a characteristic of being performed before the measurement of a sample every day and confirming the result in order to enhance the reliability of the measurement data. In other words, if the quality control sample data deviates from the predetermined range, it can be said that an error has occurred.
The sample should be measured after adjusting the analyzer to fall within the predetermined range. However, in the current external quality control, the total result is returned one to two months after the measurement, and is used only to confirm the state of the device at the time of the measurement after the fact.

[0012] When a substance which is liable to change with time, such as blood, is to be analyzed, the freshness of the quality control substance used for measuring the sample data must be the same between facilities participating in external quality control. However, when sending quality control substances to each facility to collect sample data, measurement dates tend to be different. In this case, since the freshness of the quality control substance that is the basis of the collected sample data varies, the reliability of the aggregation result is reduced.

SUMMARY OF THE INVENTION An object of the present invention is to provide a technique capable of quickly and accurately solving a trouble of an analyzer and enabling effective external precision control.

[0014]

In order to solve the first problem, the present invention relates to a user support method used for an information terminal connected to an analyzer via a network. Support used for an information terminal that collects predetermined history information indicating a history from an analyzer via a network, accumulates the collected history information for each analyzer, and outputs the information in response to an instruction of an information terminal operator. Provide a way.

Communication between the information terminal and the analyzer is performed via a dedicated line of NTT or the Internet. Since the operation history of each analyzer can be grasped by a support person at a support center or the like, it is possible to prevent downtime of the analyzer,
Failure recovery work can be facilitated. If the history information is collected by SMTP, there is an advantage that the system can be easily expanded on a network because it is not easily restricted by a firewall or the like.

In the support method used for the information terminal, it is preferable to operate the analyzer from the information terminal via a network. The supporter can operate the analyzer while viewing the operation history of the analyzer accumulated in the information terminal. If the analyzer goes down, the supporter can quickly remove the obstacle from a remote location without going to the site,
Downtime can be significantly reduced.

Furthermore, error judgment conditions are prepared in advance, predetermined error information is extracted from the history information, an error history is created by referring to the error judgment conditions, and the error history is associated with the analyzer and stored in the storage means. The user support method described above is preferably used.

For example, the error level is determined based on how many times the same event has occurred in one day. The error level is stored in association with the analyzer together with the error history such as the error type, the error message, and the date and time, and is used for predicting and solving a trouble.

[0019] In order to solve the first problem, the present invention is a support support method used for an analyzer connected to a predetermined information terminal via a network, and shows an operation history of the analyzer. Provided is a support method for transmitting predetermined history information to an information terminal via a network at a predetermined timing and used for an analysis device.

For example, during the shutdown processing of the analyzer, the operation history of the day is transmitted to the information terminal. The predetermined information terminal has the same operation as the information terminal in the first aspect.

In the support method used for the analysis device, it is preferable to receive an operation from a predetermined information terminal via a network. Even if the information terminal of the support center is located in a remote place, it is possible to promptly clear the trouble by accepting an operation from the remote terminal.

In order to solve the second problem, the present invention relates to a quality control method used for an information terminal connected to an analyzer via a network, wherein: A: the analyzer has a predetermined quality control substance; Receiving the sample data measured through the network; B; storing the received sample data; C; totalizing the stored sample data for each analyzer and each quality control substance; D; within a predetermined period of time. Provided is a quality management method used for an information terminal, which provides a totalization result of received sample data to an analyzer.

Communication between the information terminal and the analyzer is performed via a dedicated line of NTT or the Internet. The analyzer measures a quality control substance such as control blood once a day, and transmits the measured data to the information terminal. Information terminals are
The measurement data transmitted from the analyzer is accumulated, and the accumulated measurement data is totaled for each analyzer and each quality control substance. Each time the information terminal receives the sample data from the analyzer, the information terminal recounts the latest counting result.

Further, in order to obtain a tally result in which the quality control substance is fresh under similar conditions, the tally of sample data measured within a predetermined period of time, for example, within the past 24 hours from the time of reception. Can be. When the analyzer requests the tally result, the latest tally result at that time is provided in real time. In the present invention, the SMTP
Is less likely to be restricted by a firewall or the like.

Considering the case where there is a time difference between the information terminal and the analyzer, E: the date when the sample data is measured from the analyzer located in a time zone different from that of the information terminal, and Receiving, via a network, a date in the time zone in which the device is located and the sample data; and F: determining a total result of the date based on the sample data having the same date among the accumulated sample data. Is preferred.

That is, the total result of a certain day is calculated based on the sample data having that date. Further, in order to solve the second problem, the present invention relates to a quality control method used for an analyzer connected to a predetermined information terminal via a network, comprising: A: measuring a predetermined quality control substance; Sample data
Transmitting to the information terminal via the network; B; requesting the information terminal for the totalization result of the sample data; C; acquiring the totalization result of the sample data collected from the analyzer within a predetermined period by the information terminal from the information terminal. D: providing an accuracy management method used in the analyzer for outputting the obtained total result.

According to this method, the results obtained by the information terminal in the accuracy management method used for the information terminal are output to a display or a printer of the analyzer. The user refers to the output result and manages the accuracy of his / her analyzer.

[0028] If there is a time difference between the information terminal and the analyzer, the analyzer sends the date when the sample data was measured and the analyzer The date in the time zone to be used and the sample data are transmitted via a network.

According to the present invention, there is provided a computer-readable recording medium on which a program for executing the support method used for the information terminal or the analysis device and the accuracy management method used for the information terminal or the analysis device is recorded. provide. Here, the recording medium may be a computer-readable / writable floppy (registered trademark) disk, hard disk, semiconductor memory, CD-ROM, DVD, magneto-optical disk (MO), or any other medium.

Further, the present invention relates to a management device connected to an analysis device via a network, wherein the reception device receives, via the network, sample data obtained by measuring a predetermined quality control substance by the analysis device, Accumulating means for accumulating the received sample data, counting means for counting the accumulated sample data for each analyzer and each quality control substance, and providing the analyzer with the counting result of the sample data received within a predetermined period Means for providing a management device.

The same operation and effect as those of the support method used for the information terminal can be obtained. The present invention relates to an analysis device connected to a predetermined information terminal via a network, the analysis device including a transmission unit for transmitting predetermined history information indicating an operation history to the information terminal via the network at a predetermined timing. Provide equipment.

The same operation and effect as those of the support method used in the analyzer can be obtained. The present invention also relates to a management device connected to an analysis device via a network, wherein the receiving device receives sample data obtained by measuring a predetermined quality control substance from the analysis device via the network, Accumulating means for accumulating the data, a counting means for counting the sample data received within a predetermined period for each model of the analyzer and each kind of the quality control substance every time the sample data is received, and And a providing means for providing the management device.

The same operation and effect as those of the accuracy control method used for the information terminal can be obtained. Further, the present invention is an analyzer connected to a predetermined information terminal via a network, wherein the transmitting means for transmitting sample data obtained by measuring a predetermined quality control substance to the information terminal via the network, Requesting means for requesting the information terminal for the data totaling result; obtaining means for obtaining from the information terminal the totaling result of the sample data collected from the analyzer by the information terminal within a predetermined period; and outputting for outputting the obtained totaling result. Means,
An analyzer provided with:

The same operation and effect as those of the accuracy control method used in the analyzer can be obtained.

[0035]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, a support method and an accuracy control method according to the present invention will be specifically described with reference to embodiments.

<First Embodiment> [Overview] In this embodiment, a remote support system for realizing the method of the present invention will be described as an example. The remote support system is configured by connecting an analyzer owned by a facility as a user and a management device on the system providing side via a dedicated network.

The analysis device transmits predetermined history information to the management device via the network at a predetermined timing. The history information includes predetermined operation information indicating the operating state of the analyzer and sample data. The operation information is error information, the number of operations, an operation program, setting conditions, and the like of each analyzer. Sample data is measurement data of a quality control substance.

The management device collects history information from each analysis device, and performs a support process and a QC (Quality Control) process of editing and accumulating the history information according to the content of each analysis device.

A. The support processing management device edits the operation information from the collected history information,
accumulate. In addition, the management device analyzes the content of the error based on the operation information, and displays an important error if any. The technician can check the history information of the analyzer in which the error occurred on the management device, so that the technician can fully understand the device status without asking the user for a detailed explanation and investigate the cause of the trouble. Can be.

The management device has a function of remotely operating the analyzer. Therefore, the technician can perform treatment of the analyzer directly from the management device without visiting the facility. Further, the management device can analyze the error information, predict the trouble of the analyzer, and take measures to prevent the trouble before it occurs.

B. The QC processing management device 1 totalizes the sample data of the quality control substances measured by each analysis device 2 for each model of the analysis device 2 and each type of the quality control material. Each time the management device 1 receives the sample data, the management device 1 updates the counting result of the same type of sample data in the same model and provides the latest counting result on a web page. The analyzer 2 acquires the latest total result by accessing the web page. Upon accessing the web page, the management device performs an authentication process based on the authentication information input from the analysis device. In this way, immediately after measuring the quality control substance, the user can check the total result of the external quality control and the latest total result in real time.

[Configuration] (1) Overall Configuration FIG. 1 is an example of an overall configuration diagram of a remote support system according to the first embodiment. In the remote support system according to the present embodiment, a management device 1 and an analysis device 2 are connected via a dedicated network 3.

The analyzer 2 is connected to the dedicated network 3 via the network communication device 4. Examples of the analyzer 2 include a blood analyzer and a urine analyzer. As the management device 1, a PC (Person
al Computer) and WS (Work Station).
As the network communication device 4, a dial-up router, a modem, or the like is used.

As the dedicated network 3, for example, a dedicated telephone line which can be exclusively used by a contract of a provider of the present system with a company which provides a telephone line can be given. In addition to the dedicated network, various networks such as the Internet, an intranet, and a LAN can be used.

(2) Management Apparatus FIG. 2 is a block diagram showing the functional configuration of the management apparatus and the analyzer. The management device includes a communication interface (I
/ F) 11, a processing unit 12, a user management DB 14, an e-mail server 15, a WWW server 16, and a remote control unit (host side) 13.

The communication I / F 11 establishes a connection with the analyzer. The processing unit 12 performs the support process and the QC process using the user management DB 14. With the support processing, a predetermined error history is displayed on the management device, and it becomes possible to investigate the cause of the trouble that has occurred in the analyzer. 8 to 11 show display examples of the error history output by the processing unit. Further, the QC processing enables external quality control to be performed in real time on the analyzer. FIGS. 14 and 15 show examples of the web page of the tally result created by the QC process. Details of these display examples will be described later.

The user management DB 14 stores an error history, the number of operations, QC data, log information, and the like for each analyzer. The e-mail server 15 transmits the history information and the sample data of the analyzer to the SMTP (Simple Mail T
(ransfer Protocol). Although the communication protocol is not limited to the SMTP, the SMTP is not restricted by a firewall or the like, and thus has an advantage that the present system can be easily extended on various networks in the future.

The WWW server 16 provides a web page created by the processing unit 12 to a WWW browser on the analyzer. The remote control unit (host side) 13 enables remote control of the analyzer 2 by interlocking with the remote controller (user side) on the analyzer 2. By interlocking the two, a remote login to the analyzer is performed, a window displayed on the analyzer is displayed on the remote control unit (host side) 13, and the analyzer is operated in accordance with an input operation from the remote control unit (host side) 13. Can be operated.

(3) Analyzer The user terminal 22 on the analyzer 2 includes a communication interface (I / F) 23, an e-mail unit 24, a remote control unit (user side) 25, a WWW browser 26, a patient masking unit 27, It has a control unit 28.

The communication I / F 23 performs a process for establishing a connection similarly to the communication I / F 11 in the management device 1. The e-mail unit 24 transmits the history information indicating the operation history of the analysis unit 21 and the sample data to the management device by SMTP.

Remote control unit (user side) 25
Operates together with the remote control unit (host side) 13 to allow the management apparatus 1 to operate the analyzer 2.

[0052] The WWW browser 26 acquires a web page on the management device based on an instruction from the user. When operating the analysis device 2 from the management device 1, the patient masking unit 27 prevents the patient information from being displayed on the management device.

The control unit 28 controls the operation of each component on the analysis unit 21 and the user terminal 22. <Processing Flow> Next, processing performed by the management device and the analyzer in the remote support system will be described.

(1) Process Flow of Entire System First, the process flow of the entire remote support system will be specifically described. FIG. 3 is an explanatory diagram showing an example of the flow of user support in the remote support system.

The analyzer 2 performs a normal sample measurement (#
1), the operation information is transmitted to the management device 1 at a predetermined timing (# 3). The transmission timing is real-time for urgent operation information such as error information, and is shutdown for non-urgent operation information such as the number of operations and sample measurement results. The error information is also displayed on the analyzer 1, and the user discovers a trouble in the analyzer 1 (#
8).

The management device 1 accumulates the operation information sent from the analysis device 2 in the history DB 13 for each type (# 4). The management device 1 predicts occurrence of a predetermined important error such as when there is important error information in the accumulated operation information, or when the error information is minor but frequently, or when the error content tends to deteriorate. If so, a trouble of the analyzer is detected based on the setting (# 7).

When the quality control substance is measured, the analyzer 2 transmits the sample data to the control apparatus 1 in real time, which is different from a normal sample measurement result (# 3).
The analyzer 2 reads the barcode affixed to the container of the measurement sample, determines whether the sample is a quality control substance, and transmits sample data based on the determination result. The management device 1 updates the aggregation result based on the new sample data (# 5).

After measuring the sample data, the user obtains the totaled result obtained by the management device 1 (# 6) and confirms the external accuracy. The management device 1 updates the web page according to the update of the tally result. When the analyzer 2 accesses the web page and the access is authenticated, the latest total result is provided on the web page together with the sample data.

In this way, the user can immediately confirm not only the internal quality control result but also the external quality control result, and can detect an abnormality of the analyzer in real time (# 8).

The management device 1 analyzes the quality control data,
When the result of the quality control deviates from the predetermined range or when the quality control data is expected to deteriorate, a trouble of the analyzer 2 is detected based on the predetermined setting (# 7). For example, when the data tends to move away from the median. If the trouble of the analyzer 2 is detected by the management device 1, the user is notified of the trouble (# 8).

If a trouble of the analyzer is found (#
8), the user performs a measure to resolve the trouble of the analyzer (# 10). The management device 1 analyzes the contents of the trouble from the edited operation information of the analysis device 2 (# 9) and provides the user with optimal information for solving the trouble.

When it is difficult for the user to solve the trouble by himself, the user activates the remote control unit of the analyzer (# 11). The support center technician
The analyzer is remotely operated by the remote control unit on the management device side to perform a trouble solving operation (# 12).
At this time, the screen of the analyzer is linked with the screen of the management device. In this way, a trouble that can be solved by operating the analyzer can be solved by remote operation from the support center even if the trouble is complicated (# 14). For troubles that cannot be dealt with even this, a technician visits and repairs them (# 13, 1
4).

(2) Processing Flow in Management Apparatus Next, the flow of processing performed by the management apparatus 1 in the remote support system will be specifically described.

(2-1) Collection Process FIG. 4 is a flowchart showing an example of the flow of the main process performed by the management device 1. In the main processing, the management device 1
Collects history information from the analyzer 2, accumulates the history if it is an operation history, and performs QC processing if it is sample data. The following processing is started by dial-up from the analyzer 2.

In step S 1, the communication I / F 11 performs a connection process for establishing a connection with the analyzer 2. In step S2, the processing unit 12 performs a predetermined authentication process. That is, the authentication information transmitted from the analysis device 2,
It is determined whether the user information in the user DB matches.

In step S3, the processing section 12 performs a process according to the authentication result. If it is determined that the authentication information matches, the process proceeds to step S4. If they do not match, processing such as disconnecting the connection is performed.

In step S4, the e-mail server 15
Receives data from the analyzer 2. The processing unit 12 determines whether the received data is predetermined operation information. The operation information is predetermined information other than the sample data,
For example, error information, the number of operations, a program history, and setting information can be given. If "Yes" is determined, the process moves to step S5. If "No" is determined, the process moves to step S6.

In step S5, the processing unit 12 temporarily stores the received operation information. This is because it is used for support processing described later. In the support process, for example, the operation information from each analyzer 2 is accumulated until 0:00 when the date changes, and when 0:00 comes, an operation history is created based on the operation information received on that day.

In step S 6, the communication I / F 11 performs a process of disconnecting the connection with the analyzer 2. Step S7
Then, the processing unit 12 determines whether or not the received data is sample data obtained by measuring a quality control substance. “Ye
s ", the flow shifts to step S8, where the QC
Move on to processing. That is, the sample data including the received data is totaled, and the web page for each analyzer is updated. If "No" is determined, the process proceeds to step S6, and the connection is disconnected.

(2-2) Support Processing FIG. 5 is a flowchart showing an example of the flow of the support processing performed by the management device 1 independently of the main processing. Each time the date changes, the management device 1 edits the operation information received on that day and writes it in the history DB.

In step S21, the processing section 12 waits for a predetermined time, for example, 0:00. In step S22, the processing unit 12 determines one of the analyzers 2 registered in the user management DB 14 as the target user.

In step S23, the processing unit 12 determines whether or not operation information indicating the operation status of the target user on that day has been received. If "Yes" is determined, the process moves to step S24. If "No" is determined, the process proceeds to step S25 described later.

In step S24, the processing unit 12 edits the operation information for each analyzer and for each content, and writes the edited information in the history DB. For example, the error information, the number of operations, the operation program, and the setting conditions are edited in a table format together with the date and time, and written in the history DB.

In step S25, the processing section 12 writes predetermined error information indicating that the operation information could not be obtained into the user management DB 14. Examples of the error information include an analyzer name, date, time, an error number indicating an error that has occurred, and an error message corresponding to the error number.

In step S26, the processing section 12 searches for a predetermined error based on the error information of the target user. For example, based on the determination method shown in FIG. 12, an error level as illustrated in FIG. 13 is determined from the error type and the frequency of occurrence of the same error.

In step S27, the processing unit 12 determines whether an error is included in the operation information of the target user based on the search result. If the error level is not 0, “Yes” is determined. If "Yes" is determined, the process moves to step S28. If "No" is determined, the process proceeds to step S29 described later.

In step S28, the processing unit 12 writes the determined error level in the user management DB 14. In step S29, the processing unit 12 determines whether or not the processing in steps S23 to S28 has been performed for all the registered analyzers 2. If "Yes" is determined, the process returns to step S21. That is, it waits until the date changes next. If "No" is determined, the step S2 is performed.
Returning to step 2, another analyzer is determined as the target user.

(2-3) QC Process FIG. 6 is a flowchart showing the flow of the QC process performed by the management device 1. In the main process, when receiving the sample data from any of the analyzers 2, the management device 1 performs the following QC process. That is, the sample data is totaled including the newly received sample data,
The web page for each analyzer is updated based on the new total result.

In step S31, the processing section 12 totalizes the sample data including the newly received sample data. A plurality of quality control substances are often used for the same measurement item, such as those having high and low values and those having values in a normal range and an abnormal range. When the quality control substance is a biological component, the lot number is usually different for each production lot, that is, for each production time. Further, in order to determine the correction value of the measured data, it is necessary to consider the measurement mode in which the sample data is measured. The type of the quality control substance, the lot number, the measurement mode, and the like are notified from the analyzer to the management apparatus as described later.

The counting is performed for each model of the analyzer and the type of the quality control substance. Since the quality control substance may be a substance that easily changes with time, such as blood, the quality control substance is tabulated every measurement day to improve the reliability of the tabulated result.

In the present invention, since the latest totalization result is provided in real time, the total number of sample data on the day of measurement is not sufficient at an early time in the morning, and the reliability of the totalization result may not be maintained. So, on the day of measurement,
For example, this is performed based on sample data received within the last 24 hours. This makes it possible to use the sample data of the measurement conditions with the same change over time, and it is possible to prevent the total number from remarkably fluctuating depending on the time zone. At the point in time when the date changes, the totaling result within the past 24 hours is determined as the totaling result for the day.

Similarly, in order to increase the reliability of the result of aggregation,
It is preferable to use the 3SD iterative cutting method to exclude extreme outliers from the aggregation. Furthermore, when the average value of the sample data is used as the aggregation result, and the sample data within 24 hours is too small, the median value may be used instead of the average value.

In step S32, the processing section 12 updates each analysis apparatus web page based on the new total result. After that, the process returns to the main process to disconnect the connection with the user terminal.

The timing for updating the tally result is as follows.
The timing is not limited to the time of receiving the sample data, and may be any timing at which the latest total result can be provided to the analyzer. For example, it is conceivable to update the aggregation result when an access to a web page occurs from the analyzer.
In addition, the aggregation result may be updated at predetermined time intervals in consideration of the load on the management device.

(2-4) Other Processing In addition to the main processing, support processing, and QC processing, the management device 1 performs other processing.

For example, the WWW server 16 provides a web page when a web page is accessed from a WWW browser on the analyzer. At this time, it is preferable to perform the authentication processing of the analyzer in the form of a library or an interface program such as CGI.

The processing section 12 displays the error history stored in the user management DB 14 in response to an instruction from the operator of the management device 1. (3) Process Flow in Analyzer FIG. 7 is a flowchart illustrating an example of a flow of a main process performed by the analyzer. The analyzer 2 transmits the error information and the sample data in real time and operation information other than the error information at the end of the operation of the apparatus. In addition, FIG.
Only the processing flow according to the present invention is shown. When the analyzer is started, the following processing is started.

In step S41, the control unit 28 monitors the operation status of the analysis unit 21 and determines whether or not error information has occurred. If "Yes" is determined, the process proceeds to step S42. If "No" is determined, the process proceeds to step S44 described later.

In step S42, the control unit 28 acquires error information from the analysis unit 21 and processes it into electronic mail data. For example, an electronic mail in which the authentication information of the analyzer and the error information are written in the body of the electronic mail is created.

In step S43, the control unit 28 activates the electronic mail unit 24 and transmits the generated electronic mail. Thereafter, the process returns to step S41. Step S4
In 4, the control unit 28 determines whether measurement of the sample data is performed. If "Yes" is determined, the process moves to step S45. If “No” is determined, the process proceeds to step S48 described below.

In step S45, the control unit 28 waits for the end of the measurement, and when it ends, the process proceeds to step S46. In step S46, the control unit 28 acquires the sample data from the analysis unit 21 and processes the sample data into e-mail data. For example, the authentication information of the analyzer is written in the body of the e-mail, and the e-mail with the sample data attached as an attached file is created. Also, in the attached file,
Other data required for counting the sample data is also written. For example, there are a lot number, a type of quality control substance, a measurement mode, and an apparatus ID. The device ID is
This is identification information for specifying the analyzer in the present system, and is used to prevent the sample data from being counted repeatedly.

In step S47, the control unit 28 activates the electronic mail unit 24 and transmits the generated electronic mail. In step S48, the control unit 28 waits for operation information other than the error information indicating the operation state of the analysis unit 21. The operation information other than the error information includes the number of operations, an operation program, and setting conditions. When the operation information is generated, the process proceeds to step S52. In other cases, the process returns to step S41.

In step S49, the control section 28 stores the generated operation information in a log. In step S50, the control unit 28 determines whether or not the end of the analyzer 1 has been instructed. If “Yes” is determined, the process proceeds to step S49. If “No” is determined, a step S described later is performed.
It moves to 51.

In step S51, the control unit 28 acquires operation information from the log and processes it into electronic mail data. For example, an electronic mail in which the authentication information and the operation information of the analyzer are written in the body of the electronic mail is created.

In step S52, the control unit 28 activates the electronic mail unit 24 and transmits the generated electronic mail. Thereafter, the control unit 28 ends the processing. [Specific Example of Operation Information Accumulated in History DB by Support Process] Next, the operation information accumulated in the user management DB 14 by the support process described above will be specifically described. 8 to 11 show examples of operation information displayed on the management device 1 when a blood analyzer is used as the analyzer 2. 8 shows an operation information selection screen, FIG. 9 shows an error history, FIG. 10 shows a program history, and FIG. 11 shows a display example of the number of operations.

The operation information selection screen of FIG. 8 accepts selection of any one of error history, program history, setting, and operation count. Further, the operator can specify the analyzer and the type of the analyzer on this screen.

FIG. 9 is an example of a screen displayed when “error history” is selected on the screen of FIG.
The date and time when the error occurred, an error message indicating the content of the error, an error code specifying the error, and detailed codes 1 and 2 are displayed. In this error history, for example, the latest one month of the error history stored in the history DB is displayed. Preferably, a sort and a filter can be set for each field. Further, it is preferable that an abnormal record that is likely to cause a trouble is displayed in a distinguishable manner by reverse display or the like.
An abnormal record is, for example, a record in which the above-described error level is equal to or higher than a predetermined value.

FIG. 10 is an example of a screen displayed when “program history” is selected on the screen of FIG. In this screen example, the name of the program operated on the designated analyzer, its version, the date and time of operation are displayed.

FIG. 11 is an example of a screen displayed when “number of operations” is selected on the screen of FIG.
In this screen example, the number of operations of a predetermined portion of the analyzer is
It is displayed together with the date and time when it was activated.

Although not shown, when "setting" is selected on the selection screen of FIG. 8, the setting conditions of the analyzer are displayed. [Specific Example of Web Page Created by QC Process] Next, a specific example of a web page created by the management device 1 by the QC process will be described. FIG. 14 and FIG. 15 are examples of a display example of a web page created by the processing unit 12.
These are display examples of the counting results when the quality control substances are counted using the blood analyzer, as described above.

Management device 1 using WWW browser on analysis device
Is accessed, a window shown in the upper half of FIG. 14 is displayed. In this window, the display style of the tally result can be selected. Here, "Report
When the SDI chart is selected as the “ing style”, a window illustrated in FIG. 15 is displayed.

In FIG. 15, a predetermined graph is displayed for each component in blood. This graph is created for each model of the analyzer and each quality control substance. This graph is
The sample data and the reference device data of the access source user measured every day can be displayed for the past month. The reference device data is sample data obtained by measuring a predetermined quality control substance using an analyzer on the provider side of the remote support system. Further, the graph shows that the degree of deviation from the average value is 1
Shown for each SD. The daily result is determined when the date changes.

In the case of internal precision management, by displaying those measured values as they are, it is possible to confirm the fluctuation of the sample data in the analyzer. In the case of external precision management, as shown in FIG. 15, the fluctuation of the sample data in the analyzer with respect to the overall average value can be confirmed, centering on the overall average value at the time of sample data measurement. By arbitrarily switching the display, the user can visually compare on the web page how much the sample data of the analyzer deviates from the overall average and the reference data. Moreover, the web pages of FIGS. 14 and 15 are updated immediately after providing the sample data. Therefore, the user can perform external accuracy management on the provided sample data in real time without a time lag.

FIG. 16 is another display example of the tally result of the quality control substance. In this example, the measured value of the user at the analyzer, the overall average value, and the reference device data are directly displayed. Since the user sometimes wants to directly compare the measured value with his / her analyzer with the overall average value and the reference device data, it is also preferable to be able to directly display each value displayed as a chart in FIG. .

<Other Embodiments> (A) FIGS. 17 and 18 are diagrams showing another configuration example of the remote support system. The network connecting the user terminal and the management device does not necessarily need to be a dedicated network, and may be, for example, the Internet or a LAN. However, when the Internet is used, encryption for enhancing the security of transmitted / received information and a stricter authentication system are required.

It is not necessary for the system to have one management device. For example, different dedicated networks may be connected to the Internet and a router or gateway, and a management device may be provided for each dedicated network. In addition, the management device may be a predetermined analyzer from an analyzer outside the dedicated network, for example, an analyzer on the Internet connected to the dedicated network via a router, or an analyzer connected to the LAN from the Internet via a firewall. It is also possible to collect information.

(B) In the first embodiment, the time difference between the management apparatus 1 and the analyzer 2 and the time difference between the analyzers are not taken into account in performing the QC process. Therefore, as a second embodiment, Q in a remote support system in which the management device and the analysis device exist in different time zones.
The C processing will be described.

(B-1) System Operation The totalization of sample data is performed as follows. As in the first embodiment, data measured during the past 48 hours are totaled, and the result is used as a real-time totaling result.
The totaling result of each day is calculated by totaling data measured on the previous day among data within the last 48 hours.

In order to make it easier for the operator of the analyzer in each time zone to check the totaling result, the totaling result is described in association with the time (local time) in the time zone.
However, if the reference time for totaling is set to the local time, the reference time differs for each time zone, so that the totaling must be performed for each time zone. For this reason, 24 types of tally results on the same date are generated all over the world, which complicates the operation of the system. This is even more so when there are a plurality of time zones in one country, or when a group hospital exists over a plurality of time zones.

On the other hand, if the reference time for summation is determined based on the time in one of the time zones, regardless of the local time, the difference between the local time and the reference time becomes a problem. For example, the date of the QC process is changed while the analyzer is being measured, resulting in confusion.

Therefore, the measurement date (local time) of the sample data in each time zone is based on the same one, that is, has the same measurement date, so that the total result of a certain day is the same in all time zones. Based on the sample data, a total result of the day is calculated.

(B-2) Basic In consideration of the above points, in the present embodiment, the reference time of the management device 1 is set to the time that is the most advanced on the earth, that is, GM.
T (Greenwich Mean Time) +12: 00. In the following description, the reference of the time is the time of the time zone in which the management device 1 is located, in this case, GMT + 12: 00. Each analyzer 2
Sends the measurement date and time in the time zone in which it is located to the management device 1 together with the sample data. The management device 1 counts the sample data based on the sample data having the measurement date and time within the past 48 hours.
Aggregate sample data, not within the last 24 hours
The reason for setting the time within 8 hours is to secure the total number N of the sample data used as the basis of the aggregation to some extent.

FIG. 19 is a conceptual configuration diagram of data transmitted from the analysis device 2 to the management device 1. This data includes
Lot number, type of quality control substance, measurement mode, equipment I
D, time zone, time, and sample data. Among them, data other than the time zone and the time are the same as in the first embodiment. In the time zone, a time zone in which the analyzer 2 is located is described. The time describes the measurement date and time in the time zone where each analyzer is located. The management device 1 performs QC processing described below based on sample data having a measurement date and time within 48 hours from the time in the time zone where the management device is located.

FIG. 20A is an explanatory diagram showing that the total number N of data cannot be sufficiently secured with sample data within the past 24 hours. For ease of explanation, analyzers A, B, C, D, and E located in different time zones
Suppose that sends sample data to the management device every day at 00:00. The analyzer A is located at GMT + 12: 00, the analyzer E is located at GMT-12: 00, and the other analyzers B, C and D are located therebetween. The management device is at GMT + 12: 00.

In FIG. 20, sample data of the x date is represented as A _x and B _x . For example, A ₁ , A ₂ and A
_Reference numeral ₃ denotes sample data of the analyzer A on the first, second, and third dates, respectively. Solid circles are sample data that has already been measured, and open circles are sample data that has not yet been measured.

Now, the time of the management apparatus is 00:00 on the 3rd (time T
In the case of 1), the sample data within the past 24 hours includes A ₂ , B ₂ , C ₂ , D ₂ , and E ₂ . But,
When it becomes time T2 has elapsed some time, is that in a sample data within the last 24 hours, data in the area of a triangle shown by oblique lines in the figure, i.e. becomes only A _3. In this case, as the time zone is further away from GMT + 12: 00, there is a high possibility that the sample data will not be counted, and the total number N cannot be sufficiently secured, and it is difficult to always provide a reliable counting result.

FIG. 20B is an explanatory diagram showing that the total number N is sufficiently secured based on the sample data within the past 48 hours. 00:00 on the 3rd day of the management device (time T
At the time of 1), the sample data within the last 48 hours includes the sample data (A ₁ , B ₁ , C ₁ , D ₁ , E ₁ ; A _{2) of the first} and second dates of the analyzers A to E. , B ₂ , C ₂ ,
D ₂ , E ₂ ). Then, at a time T2 after a short period of time, the data in the trapezoidal area indicated by hatching in the figure, that is, A ₂ , B ₂ , C ₂ , D ₂ , E ₂ , and A ₃ are the populations for tabulation. Becomes Actually, although the measurement time differs for each analyzer, the sample data within the past 48 hours is used as the total population, so that the number of sample data close to the number of all analyzers in the system is always secured. It is possible to do. If there are a plurality of sample data of the same analyzer in the population, it is sufficient to exclude the sample data other than the sample data with the latest measurement time.

Note that the reference time of the management device is GMT + 12: 00
It is not limited to. The totaling time may be longer or slightly shorter than 48 hours, but 48 hours is simple in terms of system operation.

(B-3) Processing Flow The processing performed by the management device 1 according to the present embodiment is the same as the processing in the first embodiment except for the QC processing subroutine (step S8 in FIG. 4) performed after receiving the sample data. Same as the example. Therefore, hereinafter, the QC in the present embodiment will be described.
The processing will be described in detail. The QC processing of the present embodiment is roughly classified into (1) today's total processing and (2) previous day's total processing.

(B-3-1) Conceptual Description of Today's Tabulation Processing FIG. 21A is a conceptual explanatory diagram of today's tabulation processing. In today's totaling process, the past 48
A first temporary population consisting of sample data having a date within the time is sequentially created. Further, the sample data is totalized based on the first temporary population created, and the totaling result of today is updated. In the present embodiment, the first temporary population is updated and tabulated every 10 minutes.

In FIG. 21 (a-1), the trapezoidal area S0 indicated by oblique lines indicates the first temporary population at the current time T1 (18:00 on the 2nd). As time elapses, the trapezoid region S0 moves to the right in the figure. That is, the first temporary population is updated. First
According to the update of the temporary population, the total result of today (2 days) is also updated.

At time T2 (00:00 on the third day) when the date has changed from the second day to the third day after a lapse of time, the previous day totaling process for deciding the totaling result of the two days is started. Figure (a-2)
Medium, trapezoidal areas shown by oblique lines, that is, areas S1 and S
The sum with 2 ′ represents the first temporary population at time T2. Area S
1 represents a set of sample data of one date, and the area S2 'represents a set of sample data of two dates obtained at this time.

Even if the previous day tallying process is started, on the other hand, the today's tallying process is continued as described above. The today's tallying process that is performed subsequently updates the tallying result of today (three days) at a predetermined timing.

(B-3-2) Conceptual Description of Previous Day Aggregation Process FIG. 21B is a conceptual explanatory diagram of the previous day aggregation process. If this process is started at 00:00 on March 3, the management device 1 creates a second temporary population. The management device 1 updates the second temporary population every 10 minutes, and updates the result of the previous day (two days) based on the updated second temporary population.

The creation and updating of the second temporary population are performed as follows. The management apparatus 1 creates a second temporary population consisting of sample data within the last 48 hours every 10 minutes.
As the time elapses from T2 (00:00 on the third day), the sample data of today's date (three days) measured in an earlier region of the time zone is deleted from the created second temporary population.

FIG. 21 (b-1) shows the second tentative population at time T3 (10:00 on the 3rd) 10 hours after time T2. The region S1 'is a set of data having a measurement time within 48 hours from the time T3 in the set of one-day sample data. The area S2 ′ is a set of data that is sample data for which the measurement date is two days and has already been measured. The region S3 ′ is sample data of three days that is deleted from the second temporary population among sample data within the past 48 hours from the time T3. At time T3, the management device determines, based on the sample data of the areas S1 ′ and S2 ′,
The calculation result of the previous day (two days) is calculated.

FIG. 21B-2 shows the second tentative population at the time T4 (00:00 on the 4th) 24 hours after the time T2. An area S2 indicated by oblique lines represents the second temporary population at this time. The second temporary population at this point is a set of two-day sample data from all the analyzers participating in the remote support system. At this point, the management device 1 determines a population for counting the two days before (two days). Then, the tallying result obtained from this population is used as the final tallying result two days before (two days).

(B-4) Flowchart In the present embodiment, the management device 1 independently performs, as the QC process, three processes: a collection process, a today's tallying process, and a previous day's tallying process.

(B-4-1) Collection Process FIG. 22 shows a sample data collection process performed by the management device 1. This processing is performed in step S8 (QC processing subroutine) in the main processing (FIG. 4) performed by the management device 1.
Is started by moving to. That is, in the present embodiment, each time the management device 1 receives the sample data, the management device 1 accumulates the data in a base DB (not shown). The sample data received by the management device 1 is accumulated in the base DB without being deleted.

(B-4-2) Today's Total Processing FIG. 23 is a flowchart showing the flow of today's total processing performed by the management apparatus 1. In the following description, a work area for forming a first tentative population serving as a basis for today's tally processing is referred to as a buffer 1.

Steps S101 and S102: Management device 1
Determines whether the date has changed (S101), and if yes, activates the previous day tallying process (S102).
(See FIG. 21 (a-2)).

Steps S103, S104, S105,
S106: The management device 1 determines whether or not a predetermined time, that is, 10 minutes, has elapsed from the previous aggregation (S10).
3). If it has not elapsed, the process returns to step S101 again without performing the tallying. If it has passed, the first tentative population is updated, and today's tally is updated.

Specifically, first, the past 48
The sample data having the date and time within the time is acquired and stored in the buffer 1 (S104). Next, it is determined whether data from the same analyzer is duplicated in the data stored in the buffer 1 (S105), and if it is, data other than the latest data is excluded from the buffer 1 (S106).
(See FIG. 21 (a-1)).

Step S107: The management device 1 performs totalization based on the updated first temporary population. This counting result is today's counting result at this point. The above processing is performed independently of the sample data collection processing, and based on the sample data having the date and time within the past 48 hours, the total result of today is updated every 10 minutes.

(B-4-2) Previous Day Tallying Process FIG. 24 is a flowchart showing the flow of the previous day tallying process performed by the management device 1. In the following description, a work area for forming a second tentative population serving as a basis for the previous day tallying process is referred to as a buffer 2. Step S of the today's totaling process
By moving to step 102, the following processing is started. Now, as in FIG. 21, time T2 (00:00 on the 3rd)
It is assumed that this process has been started.

Step S111: The management device 1 again determines whether or not the date has been changed. If the date has not been changed, the management device 1 performs the processing from step S112. That is, the update of the second temporary population and the update of the tally are performed from 00:00 on the third day to 00:00 on the fourth day (S1 described later).
12 to S117). When the time reaches 00:00 on the fourth day, the totaling result of two days before, that is, two days is determined (steps S118 to S120 described later).

Step S112: The management device 1 determines whether or not 10 minutes have elapsed since the last counting. “Ye
If "s" is determined, the process proceeds to step S113 to update the second temporary population. If "No", the process returns to step S111 without updating the temporary population.

Steps S113, S114, S115,
S116: The management device 1 acquires sample data having a time within the past 48 hours from the base DB, and
(S113). Next, the management device 1 deletes the data dated today (three days) from the acquired sample data (S114). Next, it is determined whether data from the same analyzer is duplicated in the data stored in the buffer 2 (S115), and if it is, data other than the latest data is excluded from the buffer 1 (S116).
Thereby, the second temporary population is updated (see FIG. 21B-
1)).

Step S117: The management device 1 newly calculates the total result of the previous day, that is, two days, based on the updated second temporary population. As described above, the tallying result of two days (the previous day) is updated every 10 minutes (S112-
S117).

Step S118: Step S111
If it is determined that the date has changed, that is, the time is four days
At 00:00, the management device 1 determines the population that is the basis of the two-day tally result. That is, the second provisional population at this point is used as the population for the result of the aggregation two days before (two days). The determined population includes only two-day sample data (see FIG. 21B-2).

Step S119: Based on the determined population, the management apparatus 1 calculates a totaling result of two days before (two days) (S119). The display of the web page on which the tally result is posted is executed based on the authentication information input from the analyzer. Furthermore, when displaying a web page, the management device 1 recognizes the time zone of the analyzer. Because the local time in that time zone
It is possible that the date is different from GMT + 12: 00, that is, the local time has not yet reached that date. In this case, the management device 1 does not display today's total result at GMT + 12: 00, but displays only the total result of the previous day's total process.

According to the above processing, based on sample data collected from analyzers located all over the world, today's totaling result is updated in the today's totaling processing, and the totaling result of the previous day is sequentially updated in the previous day's totaling processing. The totaling result of each day is finally determined by the previous day's totaling process. Since the counting is performed based on a certain number of sample data, the reliability of the counting result can be improved. In addition, since the sample data measured in each time zone is reflected in the total result of the day, the user can use the present system without feeling a time difference.

(C) The recording medium on which the program of the present invention described above is recorded is included in the present invention. Here, the recording medium is a floppy disk, hard disk, semiconductor memory, CD-ROM, DV
D, a magneto-optical disk (MO), and others.

(D) The present invention also includes a transmission medium for transmitting the above-described program of the present invention. Here, the transmission medium includes a communication medium (optical fiber, wireless line, etc.) in a computer network (LAN, Internet, wireless communication network) system for propagating and supplying program information as a carrier wave.

[0145]

According to the present invention, since the history of the analyzer is stored in the management device, it is possible to quickly cope with the trouble occurring in the analyzer and to reduce the downtime of the analyzer. I can do it. Further, external management of the analyzer can be performed substantially in real time.

[Brief description of the drawings]

FIG. 1 is an example of an overall configuration diagram of a remote support system according to a first embodiment.

FIG. 2 is a block diagram showing a functional configuration.

FIG. 3 is an example of a processing flow in a remote support system.

FIG. 4 is a flowchart illustrating an example of the flow of a main process performed by the management device.

FIG. 5 is a flowchart illustrating an example of the flow of a support process performed by the management device.

FIG. 6 is a flowchart illustrating an example of the flow of a QC process performed by the management device.

FIG. 7 is a flowchart illustrating an example of the flow of a main process performed by the analyzer.

FIG. 8 is an example of an error information selection screen.

FIG. 9 is a display example of an error history.

FIG. 10 is a display example of a program history.

FIG. 11 is a display example of the number of operations.

FIG. 12 is an example of an error determination pattern.

FIG. 13 is an example of an error determination table.

FIG. 14 is a display example (menu screen) of a web page created by the QC process.

FIG. 15 is a display example (total result) of a web page created by the QC process.

FIG. 16 is another display example (totaling result) of a web page created by the QC process.

FIG. 17 is an overall configuration example of a remote support system according to another embodiment.

FIG. 18 is an overall configuration example of a remote support system according to another embodiment.

FIG. 19 is a conceptual configuration diagram of data transmitted from the analysis device to the management device.

FIG. 20A shows a case where the past 24 hours are to be counted. (B) When the past 48 hours are to be counted.

FIG. 21 (a) is a conceptual explanatory diagram of today's tallying process. (B) Conceptual illustration of the previous day tallying process.

FIG. 22 is a flowchart illustrating an example of the flow of a collection process.

FIG. 23 is a flowchart illustrating an example of the flow of today's tallying process.

FIG. 24 is a flowchart showing an example of the flow of the previous day tallying process.

[Explanation of symbols]

 1: management device 2: analysis device 3: network

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Tadayuki Yamaguchi 1-5-1, Wakihama Kaigandori, Chuo-ku, Kobe Within Sysmex Corporation (72) Inventor Tomomi Sugiyama 1-5-1, Wakihamakaigandori, Chuo-ku, Kobe No. Sysmex Corporation

Claims (17)

[Claims] 1. A support method used for an information terminal connected to an analyzer via a network, wherein predetermined history information indicating an operation history of the analyzer is collected from the analyzer via the network. A support method used for information terminals, in which the collected history information is stored for each analyzer and output in response to an instruction of an information terminal operator. 2. The support method used for an information terminal according to claim 1, wherein the information terminal is operated from the information terminal via a network. 3. An error determination condition is prepared in advance, predetermined error information is extracted from the history information, an error history is created with reference to the error determination condition, and the error history is associated with the analyzer and stored in the storage means. The support method used for the information terminal according to claim 1. 4. A support method used for an analyzer connected to a predetermined information terminal via a network, comprising: providing predetermined history information indicating an operation history of the analyzer at a predetermined timing via the network. Send to terminal,
Support method used for analyzers. 5. The support method according to claim 4, wherein an operation from a predetermined information terminal via a network is received. 6. A quality control method used for an information terminal connected to an analyzer via a network, wherein the analyzer receives sample data obtained by measuring a predetermined quality control substance via the network, and receives the sample data. Accumulation of collected sample data, totaling the accumulated sample data for each analyzer and each quality control substance, and providing the analyzer with the result of collecting the sample data received within a predetermined period of time. Method. 7. A network according to claim 1, wherein said analyzer is located in a time zone different from that of said information terminal and a date in said time zone in which said sample data is measured and said analyzer is located in a network. 7. The accuracy management method used for the information terminal according to claim 6, wherein a totaling result of the dates is determined based on sample data having the same date among the sample data received and accumulated through the terminal. 8. A quality control method used for an analyzer connected to a predetermined information terminal via a network, wherein sample data obtained by measuring a predetermined quality control substance is transmitted to the information terminal via the network. Requesting the totaling result of the sample data from the information terminal, obtaining the totaling result of the sample data collected from the analyzer within a predetermined period by the information terminal from the information terminal, and outputting the obtained totaling result to the analyzer. Quality control method. 9. The information terminal located in a time zone different from that of the analyzer, the date in the time zone in which the sample data is measured and the date in the time zone where the analyzer is located, and the sample data. The quality control method used in the analyzer according to claim 8, wherein the quality control method is transmitted via a network. 10. A computer-readable recording medium on which a program for executing the support method used in the information terminal according to claim 1 is recorded. 11. A computer-readable recording medium on which a program for executing the support method used in the analyzer according to claim 4 or 5 is recorded. 12. A program for executing the accuracy management method used for the information terminal according to claim 6.
Computer readable recording medium. 13. A program for executing the quality control method used in the analyzer according to claim 8, wherein the program is recorded.
Computer readable recording medium. 14. A management device connected to an analyzer via a network, comprising: a receiving unit for receiving predetermined history information indicating an operation history of the analyzer from the analyzer via the network; A management device comprising: a storage unit that stores data for each analysis device; and an output unit that outputs history information in response to an instruction from an operator. 15. An analyzer connected to a predetermined information terminal via a network, comprising: transmission means for transmitting predetermined history information indicating an operation history to the information terminal via the network at a predetermined timing. Analysis equipment. 16. A management device connected to an analysis device via a network, wherein the reception device receives, via a network, sample data obtained by measuring a predetermined quality control substance by the analysis device, and the received sample data. Accumulating means for accumulating the data, a totaling means for totalizing the accumulated sample data for each analyzer and each quality control substance, and a providing means for providing a totaling result of the sample data received within a predetermined period to the analyzer. Management device to be equipped. 17. An analyzer connected to a predetermined information terminal via a network, comprising: transmitting means for transmitting sample data obtained by measuring a predetermined quality control substance to the information terminal via the network; Requesting means for requesting the information terminal from the information terminal; acquiring means for acquiring from the information terminal the result of aggregation of sample data collected by the information terminal from the analyzer within a predetermined period; and outputting means for outputting the acquired result of aggregation. An analyzer comprising: