Device control for biological sample analysis

Abstract

A computer-implemented method for controlling operator interaction with one or more operator devices is disclosed. The one or more operator devices include one or more analytical devices configured to analyze biological samples. The method includes, in response to an operator triggering any of the one or more analytical devices to perform an analysis of the sample, acquiring, in association with an operator identifier, information regarding a sample-related handling error detected by the triggered analytical device. The method also includes dynamically updating handling error data associated with the operator identifier based on the information regarding the detected handling error, and controlling interaction with at least one of the one or more operator devices for the operator identifier based on the handling error data associated with the operator identifier. A computer-implemented method for an analytical device is also disclosed. The method includes, in response to an operator triggering the analytical device to perform an analysis of the sample, detecting a sample-related handling error. The method also includes, in response to detection of the handling error, providing, in association with the operator identifier, information regarding the detected handling error for dynamic updating of the handling error data associated with the operator identifier. Corresponding apparatuses, servers, storage devices, analytical devices, operator devices, systems, and computer program products are also disclosed.

Description

[Technical Field]

[0001] The present disclosure relates generally to the field of devices configured to analyze biological samples. More particularly, the present disclosure relates to controlling operator interaction with the device in the context of biological sample analysis. [Background technology]

[0002] In the field of clinical analysis, a wide variety of electronic devices are known for acquiring and registering patient-related data. U.S. Patent No. 8,608,654 (B2) describes some general aspects of an exemplary system for acquiring patient-related data.

[0003] An example of an electronic device for acquiring and registering patient-related data relates to an analytical device configured to analyze biological samples. Such an analytical device can be deployed, for example, in a laboratory environment or a point-of-care (POC) environment.

[0004] Typically, an analytical device may comprise a sample input for receiving a biological sample and a sample processing arrangement for performing analysis of the biological sample. Additionally, the analytical device may comprise an operator interface (e.g., a drawing and / or operator input device, e.g., a touchscreen), and / or a result output for providing the results of the analysis of the sample.

[0005] Various types of analytical devices are well known in the art, and their general structure and function will not be further detailed or illustrated herein, for example WO2015 / 071419A1 describes operator-specific adaptation of a medical analyzer user interface.

[0006] One or more sample handling errors performed by an operator prior to or incidental to input of a biological sample into an analytical device can result in an inadequate analysis (e.g., one or more of: reduced accuracy of analytical results, e.g., due to interruptions in sample processing; invalid analytical results; and no analytical results). It is therefore desirable to control (preferably minimize, or at least reduce) the consequences of sample handling errors.

[0007] Such control can be particularly difficult in POC environments where conditions for proper sample handling may be insufficient (e.g., from parameters such as temperature, lighting, hygiene conditions, etc.) and / or where analytical devices may be accessed by a large number of different operators (possibly with different experience and / or professional roles). Summary of the Invention [Problem to be solved by the invention]

[0008] Therefore, new approaches are needed that allow for control of the occurrence of sample handling errors. [Means for solving the problem]

[0009] It should be emphasized that the term "comprises / comprising" (interchangeable with "includes / including"), as used herein, is used to specify the presence of stated features, integers, steps, or components, but does not exclude the presence or addition of one or more other features, integers, steps, components, or groups thereof. As used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise.

[0010] Generally, when referring to an arrangement herein, it should be understood that this is a physical product, e.g., a device. Such a physical product may include control circuitry in the form of one or more components, e.g., one or more controllers, one or more processors, etc.

[0011] It is an object of certain embodiments to solve or mitigate, alleviate or eliminate at least some of the above or other disadvantages.

[0012] A first aspect is a computer-implemented method for controlling operator interaction with one or more operator devices, the one or more operator devices comprising one or more analytical devices configured to analyze biological samples.

[0013] The method includes, in response to any of one or more analytical devices being triggered by an operator to perform an analysis of a sample, acquiring information relating to a sample-related handling error detected by the triggered analytical device in association with an identifier of the operator.

[0014] The method also includes dynamically updating handling error data associated with the operator's identifier based on information about the detected handling error, and controlling an interaction (for the operator's identifier) ​​with at least one of the one or more operator devices based on the handling error data associated with the operator's identifier.

[0015] In some embodiments, the information regarding the handling error includes an indication of one or more of the detection of the handling error and an error type of the handling error.

[0016] In some embodiments, the operator identifier includes one or more of an operator personal identifier and an operator group identifier.

[0017] In some embodiments, the operator's identifier is detected based on one or more of an account accessed by the operator when using the analysis device and an application module accessed by the operator when using the analysis device.

[0018] In some embodiments, the method further comprises obtaining, in association with the operator's identifier and the information relating to the handling error, one or more of an identification of the analytical device triggered by the operator to perform the analysis, an identification of the equipment type of the analytical device triggered by the operator to perform the analysis, and an identification of the analysis type of the performed analysis.

[0019] In some embodiments, the step of dynamically updating the handling error data associated with the operator's identifier is further based on one or more of an identification of the analysis device triggered by the operator to perform the analysis, an identification of the equipment type of the analysis device triggered by the operator to perform the analysis, and an identification of the analysis type of the analysis performed.

[0020] In some embodiments, the handling error data includes a number, or a ratio, or a percentage, of handling errors relative to an operator identifier.

[0021] In some embodiments, controlling interaction with at least one of the one or more operator devices includes one or more of the following steps: prohibiting or restricting further access to one or more analytical devices for an operator identifier; prohibiting the operator identifier from performing analyses on further samples; increasing the amount of guidance instructions rendered in a user interface associated with one or more analytical devices and / or analyses for an operator identifier; and conducting or facilitating training associated with an analytical device and / or analyses for an operator identifier.

[0022] In some embodiments, controlling the interaction with at least one of the one or more operator devices includes determining a score value for the operator identifier based on the dynamically updated handling error data, and controlling the interaction with at least one of the one or more operator devices based on the score value.

[0023] In some embodiments, the method further includes one or more of the steps of rendering a notification based on a score value for the one or more operator identifiers and tracking the score value for the one or more operator identifiers over time.

[0024] A second aspect is a computer-implemented method of an analytical device configured to analyze a biological sample, the method for controlling operator interaction with one or more operator devices, the one or more operator devices comprising an analytical device.

[0025] The method includes detecting a sample-related handling error in response to an analytical device being triggered by an operator to perform an analysis of the sample.

[0026] The method also includes, in response to detecting the handling error, providing information regarding the detected handling error in association with the operator identifier to dynamically update handling error data associated with the operator identifier, the handling error data associated with the operator identifier for controlling interaction with at least one of the one or more operator devices for the operator identifier.

[0027] In some embodiments, controlling interaction with at least one of the one or more operator devices includes one or more of the following steps: prohibiting or restricting further access to one or more analytical devices for an operator identifier; prohibiting the operator identifier from performing analyses on further samples; increasing the amount of guidance instructions rendered in a user interface associated with one or more analytical devices and / or analyses for an operator identifier; and conducting or facilitating training associated with an analytical device and / or analyses for an operator identifier.

[0028] In some embodiments, the method further comprises, in response to the analysis device being triggered by an operator to perform an analysis of the sample, obtaining control instructions associated with an identifier of the operator, and controlling an operator's interaction with the analysis device based on the control instructions, the control instructions being based on handling error data that is updated based on information about previously detected handling errors associated with the identifier of the operator.

[0029] A third aspect is a computer program product comprising a non-transitory computer readable medium having a computer program thereon, the computer program including program instructions, the computer program being loadable into a data processing unit and configured to cause performance of a method according to either of the first or second aspects when the computer program is executed by the data processing unit.

[0030] A fourth aspect is an apparatus for controlling operator interaction with one or more operator devices, the one or more operator devices comprising one or more analytical devices configured to analyze biological samples.

[0031] The apparatus comprises a control circuit configured to, in response to an operator triggering any of one or more analytical devices to perform an analysis of a sample, cause acquisition of information regarding a sample-related handling error detected by the triggered analytical device, in association with an identifier of the operator.

[0032] The control circuitry is also configured to provide dynamic updating of handling error data associated with the operator's identifier based on information regarding the detected handling error, and control (relative to the operator's identifier) ​​of an interaction with at least one of the one or more operator devices based on the handling error data associated with the operator's identifier.

[0033] In some embodiments, controlling interaction with at least one of the one or more operator devices includes one or more of: prohibiting or restricting further access to one or more analytical devices for the operator identifier; prohibiting the operator identifier from performing analyses on further samples for the operator identifier; increasing the amount of guidance instructions rendered in a user interface associated with one or more analytical devices and / or analyses for the operator identifier; and conducting or facilitating training associated with the analytical devices and / or analyses for the operator identifier.

[0034] A fifth aspect is a server comprising the device of the fourth aspect. A sixth aspect is a storage device for retaining handling error data for controlling operator interaction with one or more operator devices according to any of the first, second, third, and fourth aspects, wherein the one or more operator devices comprise one or more analytical devices configured to analyze biological samples. The handling error data is associated with respective identifiers of a plurality of operators and is based on information regarding a sample-related handling error detected in response to the operator triggering any of the one or more analytical devices to perform an analysis of the sample. A seventh aspect is an analytical device configured to analyze biological samples. The analytical device comprises control circuitry configured to cause detection of a sample-related handling error in response to the operator triggering the analytical device to perform an analysis of the sample. The control circuitry is also configured to cause provision of information regarding the detected handling error in association with the operator's identifier in response to detecting the handling error, for dynamically updating the handling error data associated with the operator's identifier. The handling error data associated with the operator's identifier is for controlling the operator's interaction with at least one of the one or more operator devices, wherein the one or more operator devices comprise an analytical device.

[0035] In some embodiments, controlling interaction with at least one of the one or more operator devices includes one or more of the following steps: prohibiting or restricting further access to one or more analytical devices for an operator identifier; prohibiting the operator identifier from performing analyses on further samples; increasing the amount of guidance instructions rendered in a user interface associated with one or more analytical devices and / or analyses for an operator identifier; and conducting or facilitating training associated with an analytical device and / or analyses for an operator identifier.

[0036] An eighth aspect is an operator device, the operator device being an analytical device configured to analyze a biological sample and / or a training device configured to enable sample handling training for biological sample analysis. The operator device comprises control circuitry configured to obtain control instructions associated with an operator identifier and to provide control of an operator's interaction with the operating device based on the control instructions. The control instructions are based on handling error data that is updated based on information about previously detected handling errors associated with the operator identifier.

[0037] In some embodiments, controlling interaction with at least one of the one or more operator devices includes one or more of: prohibiting or restricting further access to one or more analytical devices for the operator identifier; prohibiting the operator identifier from performing analyses on further samples for the operator identifier; increasing the amount of guidance instructions rendered in a user interface associated with one or more analytical devices and / or analyses for the operator identifier; and conducting or facilitating training associated with the analytical devices and / or analyses for the operator identifier.

[0038] A ninth aspect is a system for controlling operator interaction with one or more operator devices, the one or more operator devices comprising one or more analytical devices configured to analyze biological samples, the system comprising the server of the fifth aspect, the storage device of the sixth aspect, and at least one analytical device according to the seventh aspect.

[0039] In some embodiments, any of the above aspects may further have features that are the same as or correspond to any of the various features described above with respect to any of the other aspects. [Effects of the Invention]

[0040] An advantage of some embodiments is that they provide an approach that allows for the control (and preferably reduction) of the occurrence of sample handling errors.

[0041] An advantage of some embodiments is that they provide quality control of sample handling. An advantage of some embodiments is that regulatory compliance can be ensured by controlling interactions with at least one of the one or more operator devices, which may include prohibiting or restricting further access to the one or more analytical devices.

[0042] An advantage of some embodiments is that prohibiting or restricting further access to one or more analytical devices can ensure that only trained operators and / or operators associated with an acceptable level of sample handling errors compared to the operator population are granted access to one or more analytical devices, thereby reducing the occurrence of sample handling errors and providing improved quality control of sample handling.

[0043] An advantage of some embodiments is that the techniques provided allow for control (and preferably reduction) of the occurrence of sample handling errors, enabling data-driven continuous learning of the training level of a population of operators.

[0044] An advantage of some embodiments is that continuous learning is population-based and data-driven, thereby providing more personalized, specific, and efficient training to operators.

[0045] An advantage of some embodiments is that continuous learning is population-based and data-driven, and therefore can be advantageously implemented by machine learning.

[0046] Further objects, features, and advantages will become apparent from the following detailed description of the embodiments, which refers to the accompanying drawings, in which the drawings are not necessarily to scale, emphasis instead being placed upon illustrating exemplary embodiments. [Brief explanation of the drawings]

[0047] [Figure 1] FIG. 1 is a signaling diagram combined with a collection of flow charts illustrating exemplary method steps and signaling according to some embodiments. [Figure 2] FIG. 1 is a schematic diagram illustrating an exemplary mechanism according to some embodiments. [Figure 3] FIG. 2 is a schematic block diagram of exemplary functional modules according to some embodiments. [Figure 4] FIG. 1 is a schematic block diagram illustrating an exemplary system according to some embodiments. [Figure 5] FIG. 1 is a schematic block diagram illustrating an exemplary apparatus according to some embodiments. [Figure 6] FIG. 1 is a schematic block diagram illustrating an exemplary operator device according to some embodiments. [Figure 7] 1 is a schematic diagram illustrating an exemplary computer-readable medium according to some embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0048] As already mentioned above, it should be emphasized that the term "comprises / comprising" (which can be interchanged with "includes / including"), when used herein, is used to specify the presence of stated features, integers, steps, or components, but does not exclude the presence or addition of one or more other features, integers, steps, components, or groups thereof. As used herein, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise.

[0049]

[0023] Hereinafter, embodiments of the present disclosure will be described and illustrated in more detail with reference to the accompanying drawings. However, the solutions disclosed herein may be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein.

[0050] Described below are embodiments for controlling (e.g., reducing) the occurrence of sample handling errors in the context of using an analytical device configured to analyze biological samples. According to some embodiments, this is achieved by controlling an operator's interaction with one or more operator devices.

[0051] Generally, the operator device can be an analytical device (e.g., a point-of-care (POC) device) and / or a training device. Training can be performed on an analytical device, a simulation / demo device, or a general-purpose device (e.g., a smartphone or computer, etc.). Thus, the training device can be an analytical device, a simulation / demo device, or a general-purpose device. The training device can be configured to enable sample handling training for biological sample analysis.

[0052] Generally, when a biological sample is referred to herein, this is meant to encompass any suitable biological sample. Exemplary biological samples include blood samples, saliva samples, urine samples, biopsy samples, etc.

[0053] Also, generally, when referring to sample handling errors in this specification, this is meant to encompass any suitable sample handling errors. Typically, sample handling errors are errors that are likely to be caused by an operator (e.g., pre-analysis errors). For example, sample handling errors can be caused by an operator by mistake, inexperience, lack of training, or intentionally. Sample handling errors can be caused by an operator before or accompanying the input of a biological sample into an analytical device.

[0054] Therefore, some exemplary indications of pre-analytical errors and possible causes are given in the table below. [Table 1]

[0055] Generally, sample handling errors can be detected (either explicitly or implicitly) by the analytical device.

[0056] Sample handling errors, including incomplete execution when loading a sample into an analytical device, can be detected, for example, by the sample inlet being incorrectly operated (e.g., not closed) and / or the sample being incorrectly inserted (e.g., improper orientation of the sample holder or missing sample).

[0057] Sample handling errors, including improper management of the sample before it is placed into the analytical device (e.g., leaving it at the wrong temperature, too much or too little vibration, extracting too little from the patient, or too much time elapsed between extraction from the patient and insertion into the analytical device), can be detected, for example, by one or more of an out-of-range sample size, an out-of-range sample temperature, the presence of air bubbles and / or clots in the sample, and an out-of-range sample timestamp. The term out-of-range generally refers to a parameter value being below or above the range of acceptable values ​​for that parameter.

[0058] Generally, when referring to an operator herein, this is meant to encompass any suitable person who interacts with the analytical device. Exemplary operators include doctors, nurses, nurse assistants, caregivers, laboratory technicians, and laboratory assistants. In fact, if the analytical device is configured for self-treatment, even the patient and their relatives (or other non-medically trained persons) can be considered operators.

[0059] An operator is associated with at least one operator identifier (i.e., operator identifier). An operator identifier can be a personal identifier and / or a group identifier. A personal identifier can include, for example, operator identification information (e.g., defined via one or more of a user account, a user application instantiation, a user identification number, a user radio frequency identification (RFID), etc.). A group identifier can include, for example, identification information of a group to which the operator belongs (e.g., hospital, laboratory, department, occupation (doctor / nurse / etc.), experience level (novice / experienced / skilled), length of time in the occupation, length of time worked at the hospital / laboratory, length of time used that type of analytical device, frequency of use of that type of analytical device, etc.). A group identifier can be considered an operator type identifier.

[0060] Also generally, when reference is made herein to operator interaction, this is meant to encompass any suitable interaction by an operator with an operator device. Exemplary operator interactions include an operator's use of an analytical device to perform analysis of samples, training on an analytical device (or another training device) to perform analysis of training samples, conducting an interactive training session via a general-purpose device, completing a survey enabled via a general-purpose device, and engaging with instructional content enabled via a general-purpose device (e.g., viewing an instructional video).

[0061] 1 illustrates an exemplary computer-implemented method and signaling according to some embodiments. The method and signaling of FIG. 1 are described with respect to a situation involving a first analysis device (AD) 110, a data handler (DH) 120, and a storage device (SD) 130. Optionally, this situation can also involve a second analysis device (AD) 140 and / or a training device (TD) 150.

[0062] The first and second analysis devices 110, 140 and the training device 150 are examples of operator devices. Each of the first and second analysis devices 110, 140 is configured to analyze a biological sample.

[0063] Each of the data handlers 120 and / or storage devices 130 may be included in a server (the same or different) and / or in a cloud-based arrangement, for example, the data handlers 120 and / or storage devices 130 may be included in a central device of a hospital information system (HIS) or a laboratory information system (LIS).

[0064] 1 is for controlling operator interaction with one or more of the operator devices 110, 140, 150. One purpose of such control may be to control (e.g., reduce) the occurrence of sample handling errors in the context of using the analytical devices 110, 140.

[0065] The computer-implemented method of the first analysis device 110 begins in response to the first analysis device 110 being triggered by an operator to perform an analysis of a sample, as indicated by 111. For example, the method of the first analysis device 110 may begin by detecting that the first analysis device 110 has been triggered to perform an analysis of a sample.

[0066] Triggers may be defined and / or detected in any suitable manner. Exemplary triggers include powering on the first analysis device 110, waking up the first analysis device 110 from a low power mode, placing the first analysis device 110 in an operational mode, and initiating analysis of a sample (e.g., by entering analysis-related input via a user interface of the first analysis device 110 and / or by inserting a sample into a sample inlet of the first analysis device 110).

[0067] In step 112, a sample-related handling error is detected by the first analytical device 110. The sample-related handling error may be any suitable sample-related handling error, as exemplified above. The detection may be any suitable detection (e.g., relating to an error message and / or error code provided by the analytical device). Various possible details regarding the detection are well known and will not be further detailed herein.

[0068] Step 112 may be performed with respect to the analysis of the sample at any suitable time after trigger 111. For example, step 112 may be performed directly in response to trigger 111, and / or may be performed before the analysis of the sample begins, and / or may be performed during the analysis of the sample, and / or may be performed in response to the analysis of the sample being paused, and / or may be performed in response to the analysis of the sample being completed. Thus, the analysis of the sample may occur before, during, and / or after the execution of step 112.

[0069] In response to detecting the handling error in step 112, the first analysis device 110 provides information about the detected handling error associated with the operator's identifier, as shown by step 113. The information about the detected handling error associated with the operator's identifier is shown as a signal 190 transmitted from the first analysis device 110 to the data handler 120.

[0070] As previously mentioned, the operator identifier may be an individual identifier of the operator and / or a group identifier of the operator. The operator identifier may be detected in association with the trigger 111. For example, the operator identifier may be detected based on an account (e.g., a user login) accessed by the operator when using the analysis device and an application module (e.g., an application related to a profession) accessed by the operator when using the analysis device.

[0071] Step 113 may be performed at any suitable time after detection 112. For example, step 113 may be performed directly in response to detection 112 (e.g., sending signal 190 for each detected handling error), and / or in response to the analysis of the sample being aborted (e.g., sending signal 190 for each trigger 111, possibly associated with several handling errors), and / or in response to the analysis of the sample being completed (e.g., sending signal 190 for each trigger 111, possibly associated with several handling errors). In some embodiments, step 113 is performed once for detected handling errors for more than one trigger (e.g., sending signal 190 for only some of the triggers, possibly associated with several handling errors from different triggers).

[0072] Signal 190 indicates an operator identifier and information regarding the detected handling error. The information regarding the detected handling error may include an indication that a handling error was detected (e.g., a count increment or count value) and / or an error type of the handling error (e.g., an error code or similar identifier).

[0073] In one example, signal 190 may include an operator identification and an error code (implicitly indicating that one instance of this error type has been detected). In one example, signal 190 may include an operator identification and an error flag (indicating that at least one error has been detected, possibly without information on the error type). In one example, signal 190 may include an operator identification and an error count value (indicating the number of errors detected, possibly without information on the error type). In one example, signal 190 may include an operator identification, one or more error codes, and an error count value associated with each of the error codes (explicitly indicating the number of instances detected for each of the error types). Other ways of defining the content of signal 190 are possible.

[0074] Each error type can correspond to a specific possible handling error or can encompass several different possible handling errors, in which case an example is when the possible handling errors are grouped in terms of severity (e.g., resulting in less accurate analytical results, aborting the analysis, and incorrect analytical results), and each error type corresponds to any error having a particular severity.

[0075] In some embodiments, the first analysis device 110 provides further information to the data handler 120 (eg, via signal 190) relating to the operator's identifier and information regarding the handling error.

[0076] Such further information may include, for example, an identification (explicit or implicit) of the first analytical device 110 and / or an identification (explicit or implicit) of the equipment type of the first analytical device 110 (e.g., manufacturer, model, version, etc.).

[0077] In some embodiments, an identification (explicit or implicit) of the analysis type of the triggered / performed analysis is provided by the first analysis device 110 to the data handler 120 (e.g., via signal 190). For example, the analysis type may be defined by the type of sample (e.g., blood, urine, etc.) and / or the parameter being sought (e.g., cholesterol level, presence of egg white, etc.).

[0078] In some embodiments, a trigger count increment / value associated with the operator's identifier is provided by the first analytical device 110 to the data handler 120 (e.g., via signal 190). Thus, the data handler 120 is informed of the number of times the operator has triggered the first analytical device, regardless of whether any handling errors are detected.

[0079] The computer-implemented method of the data handler 120 also begins in response to the first analysis device 110 being triggered by an operator to perform an analysis of a sample, as indicated by 111. The trigger may be detected by the data handler 120 in any suitable manner. For example, the data handler method may begin by detecting a signal 190, thereby implicitly detecting that the first analysis device 110 has been triggered to perform an analysis of a sample.

[0080] In step 123, information regarding the sample-related handling error detected by the triggered analytical device in association with the operator identifier is acquired by the data handler 120. The information regarding the detected handling error associated with the operator identifier is shown as a signal 190 received by the data handler 120 from the first analytical device 110. Typically, the data handler 120 acquires information regarding the detected sample-related handling error from multiple analytical devices and / or associated with multiple operator identifiers.

[0081] In step 124, the data handler 120 updates handling error data associated with the operator's identifier based on information about the detected handling error. In some embodiments, updating the handling error data in step 124 may be further based on an identification of the first analysis device 110, and / or an identification of the equipment type of the first analysis device 110, and / or an identification of the analysis type of the triggered / performed analysis.

[0082] Updating can include, for example, determining an updated handling error data value based on information about previous handling error data values ​​and the detected handling error. Thus, the handling error data value can be based on previously detected handling errors and currently detected handling errors.

[0083] The handling error data values ​​may include, for example, an accumulated number of errors (e.g., total or within a time window), an average number of errors per trigger (e.g., total or within a time window), or a filtered average number of errors per trigger (e.g., reducing errors as they age).

[0084] The updating of step 124 is dynamic (i.e., the handling error data fluctuates over time based on the acquisition of new information about detected handling errors). For example, step 124 can be performed each time information about a sample-related handling error is acquired (e.g., each time signal 190 is received), or less frequently (e.g., at regular intervals). In Figure 1, the updating of the handling error data is illustrated by interaction 191 between data handler 120 and storage device 130, which holds the handling error data.

[0085] Step 124 may include performing a calculation. For example, the data handler may read a current number (or ratio) value related to handling errors for the operator's identifier from a storage device, calculate an updated number (or ratio) value related to handling errors for the operator's identifier based on the obtained information, and replace the current number (or ratio) value with the updated number (or ratio) value for the operator's identifier in the storage device.

[0086] It should be noted that in some embodiments (e.g., when the signal 190 relates to several handling errors from different triggers), part of such calculations may be performed by the first analysis device 110. For example, the first analysis device 110 may calculate an average value of handling errors for an operator identifier for each trigger of the first analysis device 110. Thus, the information provided to the data handler may include the results of such partial calculations.

[0087] In step 125, the data handler 120 controls interaction with at least one operator device 110, 140, 150 based on the handling error data associated with the operator's identifier. In Figure 1, 194 indicates that as part of step 125, the data handler 120 can extract the handling error data associated with the operator's identifier.

[0088] In some embodiments, step 125 (and / or step 124) may include determining a score value for the operator identifier based on dynamically updated handling error data and using the score value to control the interaction. The score value may be set, for example, with respect to a threshold number / ratio of handling errors for the operator identifier (e.g., a threshold having a static or dynamic value, such as a percentile of the number / ratio of handling errors per operator in a population of operators).

[0089] The score value can be an individual value for the operator or a collective value for a group of operators. Alternatively or additionally, the score value can be a collective score value for all handling error types or can include multiple score values ​​associated with each handling error type. Alternatively or additionally, the score value can be a collective score value for all analysis device types or can include multiple score values ​​associated with each analysis device type. Alternatively or additionally, the score value can be a collective score value for all analysis types or can include multiple score values ​​associated with each analysis type.

[0090] Controlling interaction with an operator device that is an analytical device can include prohibiting an operator's identifier from further access to the analytical device. A prohibition can be implemented, for example, when the number or ratio of handling errors for the operator's identifier is too high (e.g., higher than a threshold, which can have a static value such as zero or another value, or a dynamic value such as a percentile of the number or ratio of handling errors per operator in a population of operators). Alternatively or additionally, a prohibition can be implemented when the handling error score for the operator's identifier is too low (e.g., lower than a threshold, which can have a static value or a dynamic value such as a percentile of the handling error score per operator in a population of operators). A previously implemented prohibition can be released when the number / ratio / score again reaches an acceptable level (e.g., defined by a threshold, which can be the same as or different from the threshold for the prohibition).

[0091] Controlling interaction with an operator device that is an analytical device can include restricting further access to the analytical device for an operator identifier. Restrictions can include, for example, restricting access so that only certain operations can be performed by the identified operator and / or so that the identified operator can only use the analytical device under supervision. Correspondingly, enforcing / releasing restrictions can be exemplified as enforcing / releasing prohibitions, as described above. In some embodiments, The restriction may be implemented in response to lifting the ban, providing the identified operator with a trial period before being given full access to the analytical device.

[0092] Controlling the interaction with an operator device that is an analytical device may include prohibiting an operator identifier from performing analyses on further samples. Thus, the identified operator may still have access to the analytical device to perform (some) other types of analyses. Correspondingly, enforcing / releasing the prohibition on analyses may be exemplified as enforcing / releasing the prohibition on access to the analytical device, as described above.

[0093] Controlling interaction with an operator device that is an analysis device can include increasing, for an operator identifier, the amount of guidance instructions rendered in a user interface associated with the analysis device and / or analysis type, whereby the increased amount of guidance instructions can be exemplified as the enforcement / releasing of a prohibition on access to the analysis device, as described above.

[0094] Controlling interaction with an operator device that is an analytical device can include any suitable combination of the above examples.

[0095] Controlling the interaction with the operator device that is an analytical device may include, as described above, the implementation / release of all analytical devices 110, 140 that are reachable by the data handler 120. Alternatively or additionally, controlling the interaction with the operator device that is an analytical device may include, as described above, the implementation / release of all analytical devices 110, 140 (reachable by the data handler 120) of the same type or of the same or more complex type.

[0096] Controlling the interaction with the operator device that is an analytical device may include the execution / release of all analyses as described above. Alternatively or additionally, controlling the interaction with the operator device that is an analytical device may include the execution / release of all analyses of the same type or of the same or more complex type as described above.

[0097] Controlling interaction with an operator device that is a training device may include enforcing or facilitating training associated with the analysis device and / or analysis for the operator's identifier (e.g., by sending a notification addressed to the identified operator). Correspondingly, enforcing / facilitating training may be exemplified as enforcing a prohibition of access to the analysis device, as described above. In some embodiments, training is enforcing / facilitating in combination with any of the above-described controlled interactions with the analysis device. Release of the controlled interactions with the analysis device may then occur in response to detecting that the training is complete.

[0098] In some embodiments, the data handler also provides for rendering notifications based on the score values ​​for one or more operator identifiers and / or tracking the score values ​​for one or more operator identifiers over time. The rendering of notifications can be for the operator only, a population of operators, and / or a coordinator / supervisor of the operators.

[0099] Various approaches to control of interactions, which can be implemented separately or in any suitable combination, are illustrated in FIG. 1 with optional method steps and signaling.

[0100] In a first exemplary approach, step 125 includes sending control instructions 197 to the training device 150, which are received by the training device 150 in step 155. Control of the interaction is performed (e.g., conducting / facilitating / notifying / registering training for the identified operator) in step 156. Alternatively or additionally, this approach can be applied to the first analysis device 110 and / or the second analysis device 140.

[0101] In a second exemplary approach, step 125 includes transmitting control instructions 196 to the second analysis device 140, which are received by the second analysis device 140 in step 145. In step 146, interaction control is performed (e.g., prohibiting and / or limiting and / or implementing an increased amount of guidance instructions for the identified operator). Alternatively or additionally, this approach can be applied to the first analysis device 110.

[0102] In a third exemplary approach, step 125 comprises receiving an indication 192 that the first analysis device has been triggered by an operator to perform an analysis of the sample, as indicated by 111′ (equivalent to 111), and in response transmitting control instructions 195 to the first analysis device 110, which control instructions 195 are received by the first analysis device 110 in step 115. In step 116, interaction control is performed (e.g., implementing prohibitions and / or restrictions and / or an increased amount of guidance instructions for the identified operator). In connection with the analysis of the sample, a sample-related handling error is detected by the first analysis device 110, as indicated by 112′ (equivalent to 112). In response to the detection of the handling error in step 112′, the first analysis device 110 provides information about the detected handling error in association with the operator's identifier, as indicated by step 113′ (equivalent to 113). Information about the detected handling error associated with the operator's identifier is shown as signal 190' (corresponding to 190). Information about the sample-related handling error detected by the triggered analytical device is obtained by the data handler 120, as shown by step 123' (corresponding to 123), and used to update the handling error data associated with the operator's identifier, as shown by step 124' (corresponding to 124). Alternatively or additionally, this approach can be applied to the second analytical device 140.

[0103] 2 illustrates a schematic diagram of an exemplary mechanism according to some embodiments. An operator 200 triggers an analytical device 210 (corresponding to 110 in FIG. 1 ) to perform an analysis of a biological sample (corresponding to 111, 111′ in FIG. 1 ), and information 220 regarding detected sample-related handling errors (corresponding to 112, 112′ in FIG. 1 ) is reported (corresponding to 113, 123, 113′, 123′ in FIG. 1 ), as indicated by 290. The information 220 is used to determine a score 230 (corresponding to 124, 124′ in FIG. 1 ). The score 230 is used to implement user-specific control 240 via control signal transmission 293 to a training device (TD) 270 and / or a group of analytical devices (AD), including devices of the same type as analytical device 210 and / or other types of analytical devices 212 (corresponding to 115, 125, 145, 155 in FIG. 1 ). Tracking 250 is performed regarding how the operator 200 responds to the user-specific controls 240 (e.g., whether training is performed successfully and / or whether the number of errors is reduced) and can be used to adjust the handling error data 220.

[0104] FIG. 3 illustrates exemplary functional modules according to some embodiments. Point-of-Care Device (POCD) 301 illustrates an analysis device (corresponding to 110, 140 in FIG. 1 ) that associates handling error data with an operator identifier and stores it in Database (DB) 311, which in turn illustrates a storage device (corresponding to 130 in FIG. 1 ). Point-of-Care Coordinator (POCC) 302 performs the supervisory role of storing ranges / thresholds for handling error performance in Database (DB) 312. Performance Calculator (PC) 321 performs mapping between handling error data and Operator Score (OS) 331 based on the ranges / thresholds for handling error performance. Operator Score and Recommendation Engine (RE) 333 provides rewards and / or suggestions (RS) 341, possibly based on the ranges / thresholds for handling error performance and / or content provided by Content Manager (CM) 303 and stored in Database (DB) 313. The user tracker (UT) 344 uses the rewards and / or suggestions 341 as input to the track generator (TG) 334, which provides key performance indicators (KPIs) in the point-of-care report (POCR) 304. One or more of the performance calculator 321, the recommendation engine 333, and the track generator 334 can be implemented within a data handler (corresponding to 120 in FIG. 1 ).

[0105] 4 illustrates a schematic diagram of an exemplary system 400 according to some embodiments. The exemplary system 400 is for controlling an operator's interaction with one or more operator devices. One purpose of such control may be to control (e.g., reduce) the occurrence of sample handling errors in the context of using an analytical device. For example, one or more portions of the system 400 may be configured to perform one or more method steps described in connection with FIG. 1 (details will not be repeated with respect to FIG. 4).

[0106] The system comprises a data handler (DH) 420 (corresponding to 120 in FIG. 1 ), a storage device (SD) 430 (corresponding to 130 in FIG. 1 ), a first group of analytical devices (AD) 410 (corresponding to 110 in FIG. 1 , e.g., analytical devices of the same type), and a second group of analytical devices (AD) 440 (corresponding to 140 in FIG. 1 , e.g., analytical devices of a different type than 410). Optionally, the system 400 may also comprise a group of training devices (TD) 450 (corresponding to 150 in FIG. 1 ), or may otherwise be associated with (e.g., connected to or connectable to) such training devices 450.

[0107] In some embodiments, the data handler 420 and / or the storage device 430 may be included in a cloud-based arrangement, as indicated by 490. For example, the data handler 420 and / or the storage device 430 may be included in a central device of a hospital information system (HIS) or a laboratory information system (LIS).

[0108] The data handler 420 and the storage device 430 may be contained within the same device (e.g., a server) or may be contained within different devices having some association (e.g., a wired or wireless connection). In either case, the data handler 420 and the storage device 430 are configured to exchange information indicated by 491 (corresponding to 191, 191′, 194 in FIG. 1).

[0109] The data handler 420 is also configured to exchange information with the analysis devices 410, 440 and the training device 450 via associations (e.g., wired or wireless connections), as indicated by 492 (corresponding to 190, 190', 192, 195, 196, 197 in FIG. 1).

[0110] 5 schematically illustrates an exemplary apparatus 510 according to some embodiments. The apparatus 510 may be, for example, a data handler (e.g., any of the data handlers 120, 420 described in connection with FIGS. 1 and 4). Alternatively or additionally, the apparatus 510 may be configured to perform or cause the performance of one or more method steps described in connection with FIG. 1 (details will not be repeated with respect to FIG. 5).

[0111] The apparatus 510 is for controlling operator interaction with one or more operator devices, the one or more operator devices comprising one or more analytical devices configured to analyze biological samples. The apparatus 510 comprises a controller (CNTR, e.g., control circuitry or control module) 500. The apparatus 510 can also comprise one or more inputs / outputs (I / O, e.g., input / output circuitry or input / output modules) 504, 505, 506 configured to communicate with analytical devices and / or training devices and / or storage devices.

[0112] The controller 500 is configured to, in response to an operator triggering any of the one or more analytical devices to perform an analysis of a sample, cause the acquisition of information relating to a sample-related handling error detected by the triggered analytical device (corresponding to 123, 123' in Figure 1) in association with an identifier of the operator. The acquisition can be performed, for example, from the analytical device. Alternatively or additionally, the acquisition can be performed via the input / output 504.

[0113] To this end, the controller 500 may comprise an acquirer (ACQ, e.g., acquisition circuit or acquisition module) 501 or may otherwise be associated with (e.g., connected to or connectable to) such an acquirer 501. The acquirer 501 may be configured to acquire information regarding detected sample-related handling errors.

[0114] The controller 500 is also configured to provide dynamic updating of handling error data associated with the operator's identifier based on information about the detected handling error (corresponding to 124, 124' in FIG. 1). The updating can be performed, for example, in a storage device. Alternatively or additionally, the updating can be performed via the input / output 505.

[0115] To this end, the controller 500 may comprise an updater (UD, e.g., update circuitry or update module) 502 or may otherwise be associated with (e.g., connected to or connectable to) such an updater 502. The updater 502 may be configured to dynamically update the handling error data.

[0116] The controller 500 is also configured to provide control of an operator's interaction with at least one of the one or more operator devices based on handling error data associated with the operator's identifier (corresponding to 125 in FIG. 1 ). The control may include, for example, providing control signaling to the operator device. Alternatively or additionally, the control may be performed via the input / output 506.

[0117] To this end, the controller 500 may comprise an interaction controller (IC, e.g., an interaction control circuit or interaction control module) 503 or may otherwise be associated with (e.g., connected to or connectable to) such an interaction controller 503. The interaction controller 503 may be configured to control the interaction of the operator with the operator device based on the handling error data.

[0118] 6 schematically illustrates an exemplary operator device 610 according to some embodiments. The operator device 610 may be, for example, an analysis device (e.g., any of the analysis devices 110, 140, 410, 440 described in connection with FIGS. 1 and 4). Alternatively or additionally, the operator device 610 may be configured to perform or cause the performance of one or more method steps described in connection with FIG. 1 (details will not be repeated with respect to FIG. 6).

[0119] The operator device 610 comprises a controller (CNTR, e.g., a control circuit or control module) 600. The operator device 610 may also comprise one or more input / outputs (I / O, e.g., an input / output circuit or input / output module) 604 configured to communicate with a data handler. The operator device 610 may also comprise one or more inlets (IL) 605 configured to receive biological samples for analysis. The operator device 610 may also comprise one or more interfaces (IF) 606 configured for providing analysis results and / or operator interaction.

[0120] When the operator device is an analytical device, the controller 600 is configured to provide detection of a sample-related handling error (corresponding to 112, 112' in Figure 1) in response to the analytical device being triggered by the operator to perform analysis of the sample.

[0121] To this end, the controller 600 may comprise a detector (DET, e.g., detection circuit or detection module) 601 or may otherwise be associated with (e.g., connected to or connectable to) such a detector 601. The detector 601 may be configured to detect handling errors.

[0122] When the operator device is an analysis device, the controller 600 is also configured to, in response to detecting a handling error, cause provision of information about the detected handling error in association with the operator's identifier for dynamic updating of handling error data associated with the operator's identifier (corresponding to 113, 113' in FIG. 1), for example to the data handler via the input / output 604.

[0123] To this end, the controller 600 may comprise a provider (PROV, e.g., a provider circuit or a provider module) 602 or may otherwise be associated with (e.g., connected to or connectable to) such a provider 602. The provider 602 may be configured to provide information regarding detected sample-related handling errors.

[0124] When the operator device is a training device and / or an analysis device, the controller 600 can be configured to provide for obtaining control instructions associated with the operator's identifier, the control instructions being based on handling error data that is updated based on information about previously detected handling errors associated with the operator's identifier (corresponding to 115, 145, 155 in FIG. 1), for example, from a data handler via input / output 604.

[0125] To this end, the controller 600 may comprise an acquirer (ACQ, e.g., acquisition circuit or acquisition module) 603 or may otherwise be associated with (e.g., connected to or connectable to) such an acquirer 603. The acquirer 603 may be configured to acquire control instructions.

[0126] When the operator device is a training device and / or an analysis device, the controller 600 can also be configured to provide control of operator interaction with the operating device based on control instructions (corresponding to 116, 146, 156 in FIG. 1 ). The operator interaction can be performed, for example, via the interface 606.

[0127] To this end, the controller 600 may comprise an interaction controller (IC, e.g., an interaction control circuit or interaction control module) 607 or may otherwise be associated with (e.g., connected to or connectable to) such an interaction controller 607. The interaction controller 607 may be configured to control the interaction of the operator with the operator device based on control instructions.

[0128] The described embodiments and their equivalents may be implemented in software or hardware, or a combination thereof. These embodiments may be implemented by general-purpose circuitry. Examples of general-purpose circuitry include digital signal processors (DSPs), central processing units (CPUs), coprocessing units, field programmable gate arrays (FPGAs), and other programmable hardware. Alternatively or additionally, these embodiments may be implemented by specialized circuitry, such as application-specific integrated circuits (ASICs). The general-purpose and / or specialized circuitry may be associated with or included within a device, such as an operator device, an analysis device, or a server, for example.

[0129] An embodiment may reside in an electronic device (such as an operator device, an analytical device, or a server) comprising arrangements, circuits, and / or logic according to any of the embodiments described herein. Alternatively or additionally, the electronic device (such as an operator device, an analytical device, or a server) may be configured to perform a method according to any of the embodiments described herein.

[0130] According to some embodiments, a computer program product comprises a tangible or intangible computer-readable medium, such as, for example, a universal serial bus (USB) memory, a plug-in card, an embedded drive, or a read-only memory (ROM). FIG. 7 shows an exemplary computer-readable medium in the form of a compact disc (CD) ROM 700. The computer-readable medium has a computer program stored thereon, the computer program comprising program instructions. The computer program is loadable into a data processor (PROC, e.g., a data processing circuit or unit) 720, which may be included in, for example, an operator device, an analysis device, or a server 710. When loaded into the data processor, the computer program may be stored in a memory (MEM) 730 associated with or included within the data processor. According to some embodiments, the computer program, when loaded into and executed by the data processor, may result in the execution of method steps, for example, according to any of the methods shown in FIG. 1 or otherwise described herein.

[0131] In general, all terms used in this specification should be interpreted according to their original meaning in the relevant art unless a different meaning is expressly stated and / or suggested by the context in which the term is used.

[0132] Reference has been made herein to various embodiments, but those skilled in the art will recognize that many variations on the described embodiments fall within the scope of the claims.

[0133] For example, the method embodiments described herein disclose exemplary methods with steps performed in a particular order. However, it will be understood that these sequences of events can be performed in another order without departing from the scope of the claims. Furthermore, some method steps may be performed in parallel, even when described as being performed sequentially. Thus, the steps of the methods disclosed herein need not be performed in the exact order disclosed, unless a step is explicitly described as following or preceding another step and / or it is implicit that a step must follow or precede another step.

[0134] Similarly, it should be noted that in the description of the embodiments, the division of functional blocks into particular units is not intended to be limiting in any way. On the contrary, these divisions are merely examples. Functional blocks described herein as one unit may also be divided into two or more units. Furthermore, functional blocks described herein as being implemented as two or more units may be combined into fewer (e.g., a single) units.

[0135] Whenever suitable, any feature of any of the embodiments disclosed herein may be applied to any other embodiment, and likewise, any advantage of any of the embodiments may be applied to any other embodiment, and vice versa.

[0136] It will therefore be understood that the details of the embodiments described are merely examples given for purposes of illustration and that all modifications that fall within the scope of the claims are intended to be embraced within their scope.

Claims

1. 1. A computer-implemented method for controlling operator interaction with one or more operator devices (110, 140, 150), the one or more operator devices comprising one or more analytical devices (110, 140) configured to analyze biological samples, the method comprising: In response to any of the one or more analytical devices (110) being triggered (111, 111') by the operator to perform an analysis of a sample, acquiring (123, 123') information (190, 190') relating to an identifier of the operator regarding a sample-related handling error (112, 112') detected by the triggered analytical device; dynamically updating (124, 124') handling error data associated with the identifier of the operator based on information about the detected handling error; and controlling (125) for the identifier of the operator, an interaction with at least one of the one or more operator devices based on the handling error data associated with the identifier of the operator, wherein controlling the interaction with at least one of the one or more operator devices comprises: prohibiting or restricting the identifier of the operator from further access to the one or more analytical devices, the restriction being implemented in response to releasing the prohibition, and providing the identified operator with a trial period before granting full access to the one or more analytical devices; prohibiting the identifier of the operator from performing the analysis on further samples; increasing the amount of guidance instructions rendered on a user interface associated with the one or more analysis devices and / or the analysis for the identifier of the operator; and Implementing or facilitating training associated with the analysis device and / or the analysis for the identifier of the operator.

2. The method of claim 1 , wherein the information regarding the handling error includes one or more of a detection of the handling error and an indication of an error type of the handling error.

3. In relation to the identifier of the operator and information about the handling error, an identification of the analysis device triggered by the operator to perform the analysis; an identification of the instrument type of the analytical device triggered by the operator to perform the analysis; and The method of claim 1 or 2, further comprising obtaining one or more of the identifications of the analysis types of the analyses performed.

4. 4. The method of claim 3, wherein the step of dynamically updating the handling error data associated with the identifier of the operator is further based on one or more of the identification information of the analysis device triggered by the operator to perform the analysis, the identification information of the equipment type of the analysis device triggered by the operator to perform the analysis, and the identification information of the analysis type of the analysis performed.

5. controlling an interaction with at least one of the one or more operator devices; determining a score value for the identifier of the operator based on the dynamically updated handling error data; The method of claim 1 , further comprising: controlling an interaction with at least one of the one or more operator devices based on the score value.

6. Rendering a notification based on the score value for one or more operator identifiers; and The method of claim 5 , further comprising one or more of the steps of tracking the score values ​​for one or more operator identifiers over time.

7. 1. A computer-implemented method for controlling operator interaction with one or more operator devices (110, 140, 150) of an analytical device (110) configured to analyze a biological sample, the one or more operator devices comprising the analytical device, the method comprising: Detecting a sample-related handling error (112, 112') in response to the analysis device being triggered by the operator (111, 111') to perform an analysis of a sample; and in response to detecting a handling error, providing (113, 113') information (190, 190') related to an identifier of the operator, for dynamically updating (124, 124') handling error data associated with the identifier of the operator, the handling error data being for controlling (125) an interaction with at least one of the one or more operator devices (110, 140, 150) for the identifier of the operator, wherein controlling the interaction with at least one of the one or more operator devices comprises: prohibiting or restricting the identifier of the operator from further access to the one or more analytical devices, the restriction being implemented in response to releasing the prohibition, and providing the identified operator with a trial period before granting full access to the one or more analytical devices; prohibiting the identifier of the operator from performing the analysis on further samples; increasing the amount of guidance instructions rendered on a user interface associated with the one or more analysis devices and / or the analysis for the identifier of the operator; and Implementing or facilitating training associated with the analysis device and / or the analysis for the identifier of the operator.

8. In response to the analysis device being triggered (111, 111') by the operator to perform the analysis of the sample, - obtaining (115) control instructions (195) associated with the identifier of the operator, the control instructions being based on handling error data that is updated (191) based on information (190) about previously detected handling errors associated with the identifier of the operator; The method of claim 7, further comprising the step of controlling (116) an operator's interaction with the analytical device (110) based on the control instructions.

9. A computer program comprising program instructions, the computer program being loadable into a data processing unit and configured to, when executed by the data processing unit, cause the execution of a method according to any one of claims 1 to 8.

10. 1. An apparatus for controlling operator interaction with one or more operator devices, said one or more operator devices comprising one or more analytical devices configured to analyze a biological sample, said apparatus comprising a control circuit (500), said control circuit controlling any of said one or more analytical devices to perform an analysis of the sample. In response to being triggered by the operator, obtaining information relating to a sample-related handling error detected by the triggered analytical device in association with an identifier of the operator; dynamically updating handling error data associated with the identifier of the operator based on information about the detected handling error; and and controlling an interaction with at least one of the one or more operator devices for the identifier of the operator based on the handling error data associated with the identifier of the operator, wherein the controlling of the interaction with at least one of the one or more operator devices comprises: prohibiting or restricting the identifier of the operator from further access to the one or more analytical devices, the restriction being implemented in response to releasing the prohibition, and providing the identified operator with a trial period before granting full access to the one or more analytical devices; prohibiting the identifier of the operator from performing the analysis on further samples; Increasing the amount of guidance instructions rendered in a user interface related to the one or more analysis devices and / or the analysis for the identifier of the operator; and and conducting or facilitating training associated with the analysis device and / or the analysis for the identifier of the operator.

11. A server comprising the device of claim 10.

12. An analytical device configured to analyze a biological sample, comprising a control circuit (600), said control circuit comprising: detecting a sample-related handling error in response to the analytical device being triggered by an operator to perform an analysis of the sample; and and in response to detecting a handling error, providing information about the detected handling error in association with an identifier of the operator for dynamic updating of handling error data associated with the identifier of the operator, the handling error data associated with the identifier of the operator for controlling an interaction with at least one of one or more operator devices, the one or more operator devices comprising the analysis device, and controlling an interaction with at least one of the one or more operator devices. prohibiting or restricting the identifier of the operator from further access to the one or more analytical devices, the restriction being implemented in response to releasing the prohibition, and providing the identified operator with a trial period before granting full access to the one or more analytical devices; prohibiting the identifier of the operator from performing the analysis on further samples; Increasing the amount of guidance instructions rendered on a user interface associated with the one or more analysis devices and / or the analysis for the identifier of the operator; and conducting or facilitating training associated with the analysis device and / or the analysis for the identifier of the operator.

13. 1. An operator device that is an analytical device configured to analyze biological samples and / or a training device configured to enable sample handling training for biological sample analysis, comprising a control circuit (600), the control circuit comprising: obtaining control instructions associated with an identifier of an operator, the control instructions being further based on handling error data that is updated based on information regarding previously detected handling errors associated with the identifier of the operator; and controlling an interaction by the operator with the operator device based on the control command, wherein the controlling of the interaction with at least one of the one or more operator devices includes: prohibiting or restricting the identifier of the operator from further access to the one or more analytical devices, the restriction being implemented in response to releasing the prohibition, and providing the identified operator with a trial period before granting full access to the one or more analytical devices; prohibiting the identifier of the operator from performing the analysis on further samples; Increasing the amount of guidance instructions rendered on a user interface associated with the one or more analysis devices and / or the analysis for the identifier of the operator; and and an operator device that includes administering or facilitating training associated with the analysis device and / or the analysis to the identifier of the operator.

14. 1. A system for controlling operator interaction with one or more operator devices, the one or more operator devices comprising one or more analytical devices configured to analyze biological samples, the system comprising: a server according to claim 11; and at least one analytical device according to claim 12.

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